Articles | Volume 26, issue 17
https://doi.org/10.5194/hess-26-4537-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-4537-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Sep 2022
Research article |
| 13 Sep 2022
| 13 Sep 2022
Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
Joris Timmermans
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
Institute for Biodiversity and Ecosystem Dynamics, University of
Amsterdam, 1090 GE Amsterdam, the Netherlands
Lifewatch ERIC, vLab & Innovation Centre, 1090 GE Amsterdam, the
Netherlands
Qi Chen
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
Peter M. van Bodegom
Institute of Environmental Sciences (CML), Leiden University, Box
9518, 2300 RA Leiden, the Netherlands
Related authors
No articles found.
Chaolei Zheng, Li Jia, Guangcheng Hu, Massimo Menenti, and Joris Timmermans
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-55, https://doi.org/10.5194/hess-2024-55, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
Significant changes are occurring in the Tibetan Plateau, but the amount and variations of evapotranspiration (ET) are with large uncertainty. This study compares 22 ET products and finds that the mean annual ET is 350.34 mm/yr over the Tibetan Plateau, with soil water contribute most to total ET. It also find most products showing an increasing trend. It provides a comprehensive study that supports further ET estimation and potential use of ET data for relevant water and climate studies.
Niel Verbrigghe, Niki I. W. Leblans, Bjarni D. Sigurdsson, Sara Vicca, Chao Fang, Lucia Fuchslueger, Jennifer L. Soong, James T. Weedon, Christopher Poeplau, Cristina Ariza-Carricondo, Michael Bahn, Bertrand Guenet, Per Gundersen, Gunnhildur E. Gunnarsdóttir, Thomas Kätterer, Zhanfeng Liu, Marja Maljanen, Sara Marañón-Jiménez, Kathiravan Meeran, Edda S. Oddsdóttir, Ivika Ostonen, Josep Peñuelas, Andreas Richter, Jordi Sardans, Páll Sigurðsson, Margaret S. Torn, Peter M. Van Bodegom, Erik Verbruggen, Tom W. N. Walker, Håkan Wallander, and Ivan A. Janssens
Biogeosciences, 19, 3381–3393, https://doi.org/10.5194/bg-19-3381-2022, https://doi.org/10.5194/bg-19-3381-2022, 2022
Short summary
Short summary
In subarctic grassland on a geothermal warming gradient, we found large reductions in topsoil carbon stocks, with carbon stocks linearly declining with warming intensity. Most importantly, however, we observed that soil carbon stocks stabilised within 5 years of warming and remained unaffected by warming thereafter, even after > 50 years of warming. Moreover, in contrast to the large topsoil carbon losses, subsoil carbon stocks remained unaffected after > 50 years of soil warming.
Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, and Nadejda A. Soudzilovskaia
Biogeosciences, 19, 1469–1490, https://doi.org/10.5194/bg-19-1469-2022, https://doi.org/10.5194/bg-19-1469-2022, 2022
Short summary
Short summary
This work focuses on one of the essential pathways of mycorrhizal impact on C cycles: the mediation of plant litter decomposition. We present a model based on litter chemical quality which precludes a conclusive examination of mycorrhizal impacts on soil C. It improves long-term decomposition predictions and advances our understanding of litter decomposition dynamics. It creates a benchmark in quantitatively examining the impacts of plant–microbe interactions on soil C dynamics.
Anna B. Harper, Peter M. Cox, Pierre Friedlingstein, Andy J. Wiltshire, Chris D. Jones, Stephen Sitch, Lina M. Mercado, Margriet Groenendijk, Eddy Robertson, Jens Kattge, Gerhard Bönisch, Owen K. Atkin, Michael Bahn, Johannes Cornelissen, Ülo Niinemets, Vladimir Onipchenko, Josep Peñuelas, Lourens Poorter, Peter B. Reich, Nadjeda A. Soudzilovskaia, and Peter van Bodegom
Geosci. Model Dev., 9, 2415–2440, https://doi.org/10.5194/gmd-9-2415-2016, https://doi.org/10.5194/gmd-9-2415-2016, 2016
Short summary
Short summary
Dynamic global vegetation models (DGVMs) are used to predict the response of vegetation to climate change. We improved the representation of carbon uptake by ecosystems in a DGVM by including a wider range of trade-offs between nutrient allocation to photosynthetic capacity and leaf structure, based on observed plant traits from a worldwide data base. The improved model has higher rates of photosynthesis and net C uptake by plants, and more closely matches observations at site and global scales.
M. Baudena, S. C. Dekker, P. M. van Bodegom, B. Cuesta, S. I. Higgins, V. Lehsten, C. H. Reick, M. Rietkerk, S. Scheiter, Z. Yin, M. A. Zavala, and V. Brovkin
Biogeosciences, 12, 1833–1848, https://doi.org/10.5194/bg-12-1833-2015, https://doi.org/10.5194/bg-12-1833-2015, 2015
A. Loew, P. M. van Bodegom, J.-L. Widlowski, J. Otto, T. Quaife, B. Pinty, and T. Raddatz
Biogeosciences, 11, 1873–1897, https://doi.org/10.5194/bg-11-1873-2014, https://doi.org/10.5194/bg-11-1873-2014, 2014
B. Ringeval, S. Houweling, P. M. van Bodegom, R. Spahni, R. van Beek, F. Joos, and T. Röckmann
Biogeosciences, 11, 1519–1558, https://doi.org/10.5194/bg-11-1519-2014, https://doi.org/10.5194/bg-11-1519-2014, 2014
L. M. Verheijen, V. Brovkin, R. Aerts, G. Bönisch, J. H. C. Cornelissen, J. Kattge, P. B. Reich, I. J. Wright, and P. M. van Bodegom
Biogeosciences, 10, 5497–5515, https://doi.org/10.5194/bg-10-5497-2013, https://doi.org/10.5194/bg-10-5497-2013, 2013
R. Wania, J. R. Melton, E. L. Hodson, B. Poulter, B. Ringeval, R. Spahni, T. Bohn, C. A. Avis, G. Chen, A. V. Eliseev, P. O. Hopcroft, W. J. Riley, Z. M. Subin, H. Tian, P. M. van Bodegom, T. Kleinen, Z. C. Yu, J. S. Singarayer, S. Zürcher, D. P. Lettenmaier, D. J. Beerling, S. N. Denisov, C. Prigent, F. Papa, and J. O. Kaplan
Geosci. Model Dev., 6, 617–641, https://doi.org/10.5194/gmd-6-617-2013, https://doi.org/10.5194/gmd-6-617-2013, 2013
J. R. Melton, R. Wania, E. L. Hodson, B. Poulter, B. Ringeval, R. Spahni, T. Bohn, C. A. Avis, D. J. Beerling, G. Chen, A. V. Eliseev, S. N. Denisov, P. O. Hopcroft, D. P. Lettenmaier, W. J. Riley, J. S. Singarayer, Z. M. Subin, H. Tian, S. Zürcher, V. Brovkin, P. M. van Bodegom, T. Kleinen, Z. C. Yu, and J. O. Kaplan
Biogeosciences, 10, 753–788, https://doi.org/10.5194/bg-10-753-2013, https://doi.org/10.5194/bg-10-753-2013, 2013
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
The development of an operational system for estimating irrigation water use reveals socio-political dynamics in Ukraine
An inter-comparison of approaches and frameworks to quantify irrigation from satellite data
The Wetland Intrinsic Potential tool: mapping wetland intrinsic potential through machine learning of multi-scale remote sensing proxies of wetland indicators
Technical note: NASAaccess – a tool for access, reformatting, and visualization of remotely sensed earth observation and climate data
A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique
Satellite observations reveal 13 years of reservoir filling strategies, operating rules, and hydrological alterations in the Upper Mekong River basin
Satellite soil moisture data assimilation for improved operational continental water balance prediction
Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach
Multi-constellation GNSS interferometric reflectometry with mass-market sensors as a solution for soil moisture monitoring
Can we trust remote sensing evapotranspiration products over Africa?
Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana
Developing GIS-based water poverty and rainwater harvesting suitability maps for domestic use in the Dead Sea region (West Bank, Palestine)
Estimating daily evapotranspiration based on a model of evaporative fraction (EF) for mixed pixels
Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data
A conceptual model of organochlorine fate from a combined analysis of spatial and mid- to long-term trends of surface and ground water contamination in tropical areas (FWI)
Spatio-temporal assessment of annual water balance models for upper Ganga Basin
Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin
Wetlands inform how climate extremes influence surface water expansion and contraction
Participatory flood vulnerability assessment: a multi-criteria approach
Monitoring small reservoirs' storage with satellite remote sensing in inaccessible areas
Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images
The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets
A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval
Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates
Downstream ecosystem responses to middle reach regulation of river discharge in the Heihe River Basin, China
Combining satellite observations to develop a global soil moisture product for near-real-time applications
Supplemental irrigation potential and impact on downstream flow of Karkheh River basin in Iran
Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes
Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data
Spatial evapotranspiration, rainfall and land use data in water accounting – Part 2: Reliability of water acounting results for policy decisions in the Awash Basin
Combining high-resolution satellite images and altimetry to estimate the volume of small lakes
Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications
A new stream and nested catchment framework for Australia
GRACE water storage estimates for the Middle East and other regions with significant reservoir and lake storage
An original interpretation of the wet edge of the surface temperature–albedo space to estimate crop evapotranspiration (SEB-1S), and its validation over an irrigated area in northwestern Mexico
Using a thermal-based two source energy balance model with time-differencing to estimate surface energy fluxes with day–night MODIS observations
Regional effects of vegetation restoration on water yield across the Loess Plateau, China
Estimation of soil parameters over bare agriculture areas from C-band polarimetric SAR data using neural networks
Accounting for seasonality in a soil moisture change detection algorithm for ASAR Wide Swath time series
Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia
Extension of the Hapke bidirectional reflectance model to retrieve soil water content
Estimating river discharge from earth observation measurements of river surface hydraulic variables
Combined use of optical and radar satellite data for the monitoring of irrigation and soil moisture of wheat crops
Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data
Soil surface moisture estimation over a semi-arid region using ENVISAT ASAR radar data for soil evaporation evaluation
Particular uncertainties encountered in using a pre-packaged SEBS model to derive evapotranspiration in a heterogeneous study area in South Africa
Effective roughness modelling as a tool for soil moisture retrieval from C- and L-band SAR
Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region
Identification and mapping of soil erosion areas in the Blue Nile, Eastern Sudan using multispectral ASTER and MODIS satellite data and the SRTM elevation model
Jacopo Dari, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 28, 2651–2659, https://doi.org/10.5194/hess-28-2651-2024, https://doi.org/10.5194/hess-28-2651-2024, 2024
Short summary
Short summary
We have developed the first operational system (10 d latency) for estimating irrigation water use from accessible satellite and reanalysis data. As a proof of concept, the method has been implemented over an irrigated area fed by the Kakhovka Reservoir, in Ukraine, which collapsed on June 6, 2023. Estimates for the period 2015–2023 reveal that, as expected, the irrigation season of 2023 was characterized by the lowest amounts of irrigation.
Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, Christian Massari, Luca Brocca, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 28, 441–457, https://doi.org/10.5194/hess-28-441-2024, https://doi.org/10.5194/hess-28-441-2024, 2024
Short summary
Short summary
This study provides a comparison of methodologies to quantify irrigation to enhance regional irrigation estimates. To evaluate the methodologies, we compared various approaches to quantify irrigation using soil moisture, evapotranspiration, or both within a novel baseline framework, together with irrigation estimates from other studies. We show that the synergy from using two equally important components in a joint approach within a baseline framework yields better irrigation estimates.
Meghan Halabisky, Dan Miller, Anthony J. Stewart, Amy Yahnke, Daniel Lorigan, Tate Brasel, and Ludmila Monika Moskal
Hydrol. Earth Syst. Sci., 27, 3687–3699, https://doi.org/10.5194/hess-27-3687-2023, https://doi.org/10.5194/hess-27-3687-2023, 2023
Short summary
Short summary
Accurate wetland inventories are critical to monitor and protect wetlands. However, in many areas a large proportion of wetlands are unmapped because they are hard to detect in imagery. We developed a machine learning approach using spatially mapped variables of wetland indicators (i.e., vegetation, hydrology, soils), including novel multi-scale topographic indicators, to predict wetland probability. Our approach can be adapted to diverse landscapes to improve wetland detection.
Ibrahim Nourein Mohammed, Elkin Giovanni Romero Bustamante, John Dennis Bolten, and Everett James Nelson
Hydrol. Earth Syst. Sci., 27, 3621–3642, https://doi.org/10.5194/hess-27-3621-2023, https://doi.org/10.5194/hess-27-3621-2023, 2023
Short summary
Short summary
We present an open-source platform in response to the NASA Open-Source Science Initiative for accessing and presenting quantitative remote-sensing earth observation,and climate data. With our platform scientists, stakeholders and concerned citizens can engage in the exploration, modeling, and understanding of data. We envisioned this platform as lowering the technical barriers and simplifying the process of accessing and leveraging additional modeling frameworks for data.
Abebe D. Chukalla, Marloes L. Mul, Pieter van der Zaag, Gerardo van Halsema, Evaristo Mubaya, Esperança Muchanga, Nadja den Besten, and Poolad Karimi
Hydrol. Earth Syst. Sci., 26, 2759–2778, https://doi.org/10.5194/hess-26-2759-2022, https://doi.org/10.5194/hess-26-2759-2022, 2022
Short summary
Short summary
New techniques to monitor the performance of irrigation schemes are vital to improve land and water productivity. We developed a framework and applied the remotely sensed FAO WaPOR dataset to assess uniformity, equity, adequacy, and land and water productivity at the Xinavane sugarcane estate, segmented by three irrigation methods. The developed performance assessment framework and the Python script in Jupyter Notebooks can aid in such irrigation performance analysis in other regions.
Dung Trung Vu, Thanh Duc Dang, Stefano Galelli, and Faisal Hossain
Hydrol. Earth Syst. Sci., 26, 2345–2364, https://doi.org/10.5194/hess-26-2345-2022, https://doi.org/10.5194/hess-26-2345-2022, 2022
Short summary
Short summary
The lack of data on how big dams are operated in the Upper Mekong, or Lancang, largely contributes to the ongoing controversy between China and the other Mekong countries. Here, we rely on satellite observations to reconstruct monthly storage time series for the 10 largest reservoirs in the Lancang. Our analysis shows how quickly reservoirs were filled in, what decisions were made during recent droughts, and how these decisions impacted downstream discharge.
Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly
Hydrol. Earth Syst. Sci., 25, 4567–4584, https://doi.org/10.5194/hess-25-4567-2021, https://doi.org/10.5194/hess-25-4567-2021, 2021
Short summary
Short summary
Accurate daily continental water balance predictions are valuable in monitoring and forecasting water availability and land surface conditions. A simple and robust method was developed for an operational water balance model to constrain model predictions temporally and spatially with satellite soil moisture observations. The improved soil water storage prediction can provide constraints in model forecasts that persist for several weeks.
Oliver Miguel López Valencia, Kasper Johansen, Bruno José Luis Aragón Solorio, Ting Li, Rasmus Houborg, Yoann Malbeteau, Samer AlMashharawi, Muhammad Umer Altaf, Essam Mohammed Fallatah, Hari Prasad Dasari, Ibrahim Hoteit, and Matthew Francis McCabe
Hydrol. Earth Syst. Sci., 24, 5251–5277, https://doi.org/10.5194/hess-24-5251-2020, https://doi.org/10.5194/hess-24-5251-2020, 2020
Short summary
Short summary
The agricultural sector in Saudi Arabia has expanded rapidly over the last few decades, supported by non-renewable groundwater abstraction. This study describes a novel data–model fusion approach to compile national-scale groundwater abstractions and demonstrates its use over 5000 individual center-pivot fields. This method will allow both farmers and water management agencies to make informed water accounting decisions across multiple spatial and temporal scales.
Angel Martín, Sara Ibáñez, Carlos Baixauli, Sara Blanc, and Ana Belén Anquela
Hydrol. Earth Syst. Sci., 24, 3573–3582, https://doi.org/10.5194/hess-24-3573-2020, https://doi.org/10.5194/hess-24-3573-2020, 2020
Short summary
Short summary
In the case study presented in this paper, the GNSS-IR technique was used to monitor soil moisture during 66 d, from 3 December 2018 to 6 February 2019, in the installations of the Cajamar Centre of Experiences, Paiporta, Valencia, Spain. Two main objectives were pursued. The first was the extension of the technique to a multi-constellation solution using GPS, GLONASS, and GALILEO satellites, and the second was to test whether mass-market sensors could be used for this technique.
Imeshi Weerasinghe, Wim Bastiaanssen, Marloes Mul, Li Jia, and Ann van Griensven
Hydrol. Earth Syst. Sci., 24, 1565–1586, https://doi.org/10.5194/hess-24-1565-2020, https://doi.org/10.5194/hess-24-1565-2020, 2020
Short summary
Short summary
Water resource allocation to various sectors requires an understanding of the hydrological cycle, where evapotranspiration (ET) is a key component. Satellite-derived products estimate ET but are hard to evaluate at large scales. This work presents an alternate evaluation methodology to point-scale observations in Africa. The paper enables users to select an ET product based on their performance regarding selected criteria using a ranking system. The highest ranked products are WaPOR and CMRSET.
Melanie K. Vanderhoof, Jay R. Christensen, and Laurie C. Alexander
Hydrol. Earth Syst. Sci., 23, 4269–4292, https://doi.org/10.5194/hess-23-4269-2019, https://doi.org/10.5194/hess-23-4269-2019, 2019
Short summary
Short summary
We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters basin during peak irrigation months (June, July and August). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend from 1984 to 2016. The temporal drying trends persisted after removing variability attributable to climate. Instead, the drying trends co-occurred with a shift towards center-pivot irrigation across the basin.
Sameer M. Shadeed, Tariq G. Judeh, and Mohammad N. Almasri
Hydrol. Earth Syst. Sci., 23, 1581–1592, https://doi.org/10.5194/hess-23-1581-2019, https://doi.org/10.5194/hess-23-1581-2019, 2019
Short summary
Short summary
The paper aimed to develop DWP and DRWHS maps in the West Bank (Palestine) using an integrated GIS-based MCDA approach. The obtained maps will assist the decision makers to formulate proper strategies including the development of efficient and comprehensive water resource management strategies in trying to bridge the increasing water supply–demand gap for domestic purposes in the West Bank as a recognized area in the Dead Sea region which is facing a series water resource shortage challenges.
Fugen Li, Xiaozhou Xin, Zhiqing Peng, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 23, 949–969, https://doi.org/10.5194/hess-23-949-2019, https://doi.org/10.5194/hess-23-949-2019, 2019
Short summary
Short summary
This study proposes a simple but efficient model for estimating daily evapotranspiration considering heterogeneity of mixed pixels. In order to do so, an equation to calculate evapotranspiration fraction (EF) of mixed pixels was derived based on two key hypotheses. The model is easy to apply and is independent and easy to be embedded in the traditional remote sensing algorithms of heat fluxes to get daily ET.
Felix Zaussinger, Wouter Dorigo, Alexander Gruber, Angelica Tarpanelli, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 897–923, https://doi.org/10.5194/hess-23-897-2019, https://doi.org/10.5194/hess-23-897-2019, 2019
Short summary
Short summary
About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of irrigation water use (IWU) are virtually lacking at regional to global scales. To bridge this gap, we develop a method for quantifying IWU from a combination of state-of-the-art remotely sensed and modeled soil moisture products and apply it over the United States for the period 2013–2016. Overall, our estimates agree well with reference data on irrigated area and irrigation water withdrawals.
Philippe Cattan, Jean-Baptiste Charlier, Florence Clostre, Philippe Letourmy, Luc Arnaud, Julie Gresser, and Magalie Jannoyer
Hydrol. Earth Syst. Sci., 23, 691–709, https://doi.org/10.5194/hess-23-691-2019, https://doi.org/10.5194/hess-23-691-2019, 2019
Short summary
Short summary
We investigated the management of long-term environmental pollution by organochlorine pesticides. We selected the case of chlordecone on the island of Martinique. We propose a conceptual model of organochlorine fate accounting for physical conditions relative to soils and geology. This model explains pollution variability in water but also the dynamics of pollution trends. It helps to identify risky areas where pollution will last for a long time and where more attention is needed.
Anoop Kumar Shukla, Shray Pathak, Lalit Pal, Chandra Shekhar Prasad Ojha, Ana Mijic, and Rahul Dev Garg
Hydrol. Earth Syst. Sci., 22, 5357–5371, https://doi.org/10.5194/hess-22-5357-2018, https://doi.org/10.5194/hess-22-5357-2018, 2018
Short summary
Short summary
In this study, we carried out a comparative evaluation of water yield using two approaches, the Lumped Zhang model and the pixel-based approach. Even in pixel-level computations, experiments are made with existing models of some of the involved parameters. The study indicates not only the suitability of pixel-based computations but also clarifies the suitable model of some of the parameters to be used with pixel-based computations to obtain better results.
Anoop Kumar Shukla, Chandra Shekhar Prasad Ojha, Ana Mijic, Wouter Buytaert, Shray Pathak, Rahul Dev Garg, and Satyavati Shukla
Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
Short summary
Short summary
Geospatial technologies and OIP are promising tools to study the effect of demographic changes and LULC transformations on the spatiotemporal variations in the water quality (WQ) across a large river basin. Therefore, this study could help to assess and solve local and regional WQ-related problems over a river basin. It may help the policy makers and planners to understand the status of water pollution so that suitable strategies could be planned for sustainable development in a river basin.
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
Short summary
Short summary
Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Mariana Madruga de Brito, Mariele Evers, and Adrian Delos Santos Almoradie
Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, https://doi.org/10.5194/hess-22-373-2018, 2018
Short summary
Short summary
This paper sheds light on the integration of interdisciplinary knowledge in the assessment of flood vulnerability in Taquari-Antas river basin, Brazil. It shows how stakeholder participation is crucial for increasing not only the acceptance of model results but also its quality.
Nicolas Avisse, Amaury Tilmant, Marc François Müller, and Hua Zhang
Hydrol. Earth Syst. Sci., 21, 6445–6459, https://doi.org/10.5194/hess-21-6445-2017, https://doi.org/10.5194/hess-21-6445-2017, 2017
Short summary
Short summary
Information on small reservoir storage is crucial for water management in a river basin. However, it is most of the time not freely available in remote, ungauged, or conflict-torn areas. We propose a novel approach using satellite imagery information only to quantitatively estimate storage variations in such inaccessible areas. We apply the method to southern Syria, where ground monitoring is impeded by the ongoing civil war, and validate it against in situ measurements in neighbouring Jordan.
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Abdalhaleem A. Hassaballa, and Virupakshagouda C. Patil
Hydrol. Earth Syst. Sci., 21, 6135–6151, https://doi.org/10.5194/hess-21-6135-2017, https://doi.org/10.5194/hess-21-6135-2017, 2017
Short summary
Short summary
In view of the pressing need to assess the productivity of agricultural fields in Saudi Arabia, this study was undertaken in an attempt to apply the METRIC model with Landsat-8 imagery for the determination of spatial and temporal variability in ET aiming at optimizing the quantification of crop water requirement and the formulation of efficient irrigation schedules. This paper will be of great interest to readers in the areas of agriculture (in general), water management and remote sensing.
Clara Linés, Micha Werner, and Wim Bastiaanssen
Hydrol. Earth Syst. Sci., 21, 4747–4765, https://doi.org/10.5194/hess-21-4747-2017, https://doi.org/10.5194/hess-21-4747-2017, 2017
Short summary
Short summary
This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.
Zeinab Takbiri, Ardeshir M. Ebtehaj, and Efi Foufoula-Georgiou
Hydrol. Earth Syst. Sci., 21, 2685–2700, https://doi.org/10.5194/hess-21-2685-2017, https://doi.org/10.5194/hess-21-2685-2017, 2017
Short summary
Short summary
We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and temporal resolution. While visible bands provide flood mapping at fine spatial resolution, their capability is very limited in a cloudy sky. Passive microwaves can penetrate through clouds but cannot detect small-scale flooded surfaces due to their coarse resolution. The proposed method takes advantage of these two observations to retrieve sub-pixel flooded surfaces in all-sky conditions.
Joseph G. Alfieri, Martha C. Anderson, William P. Kustas, and Carmelo Cammalleri
Hydrol. Earth Syst. Sci., 21, 83–98, https://doi.org/10.5194/hess-21-83-2017, https://doi.org/10.5194/hess-21-83-2017, 2017
Yan Zhao, Yongping Wei, Shoubo Li, and Bingfang Wu
Hydrol. Earth Syst. Sci., 20, 4469–4481, https://doi.org/10.5194/hess-20-4469-2016, https://doi.org/10.5194/hess-20-4469-2016, 2016
Short summary
Short summary
The paper finds that combined inflow from both current and previous years' discharge determines water availability in downstream regions. Temperature determines broad vegetation distribution while hydrological variables show significant effects only in near-river-channel regions. Agricultural development curtailed further vegetation recovery in the studied area. Enhancing current water allocation schemes and regulating regional agricultural activities are required for future restoration.
Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, and Richard De Jeu
Hydrol. Earth Syst. Sci., 20, 4191–4208, https://doi.org/10.5194/hess-20-4191-2016, https://doi.org/10.5194/hess-20-4191-2016, 2016
Short summary
Short summary
Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.
Behzad Hessari, Adriana Bruggeman, Ali Mohammad Akhoond-Ali, Theib Oweis, and Fariborz Abbasi
Hydrol. Earth Syst. Sci., 20, 1903–1910, https://doi.org/10.5194/hess-20-1903-2016, https://doi.org/10.5194/hess-20-1903-2016, 2016
Short summary
Short summary
Yields of rainfed winter crops such as wheat can be substantially improved with limited supplemental irrigation. The upper Karkheh River basin in Iran has 15 840 km2 of rainfed crops. A GIS method was designed to identify suitable areas for irrigation and a routine was developed to allocate water uses and route the flows downstream. A maximum of 13 % of the rainfed cropland could be irrigated under normal flow, 9 % if environmental flow requirements are considered and 6 % under drought conditions.
Ting Xia, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, Feng Gao, Lynn McKee, John H. Prueger, Hatim M. E. Geli, Christopher M. U. Neale, Luis Sanchez, Maria Mar Alsina, and Zhongjing Wang
Hydrol. Earth Syst. Sci., 20, 1523–1545, https://doi.org/10.5194/hess-20-1523-2016, https://doi.org/10.5194/hess-20-1523-2016, 2016
Short summary
Short summary
This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
P. Karimi and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 19, 507–532, https://doi.org/10.5194/hess-19-507-2015, https://doi.org/10.5194/hess-19-507-2015, 2015
P. Karimi, W. G. M. Bastiaanssen, A. Sood, J. Hoogeveen, L. Peiser, E. Bastidas-Obando, and R. J. Dost
Hydrol. Earth Syst. Sci., 19, 533–550, https://doi.org/10.5194/hess-19-533-2015, https://doi.org/10.5194/hess-19-533-2015, 2015
F. Baup, F. Frappart, and J. Maubant
Hydrol. Earth Syst. Sci., 18, 2007–2020, https://doi.org/10.5194/hess-18-2007-2014, https://doi.org/10.5194/hess-18-2007-2014, 2014
C. Cammalleri, M. C. Anderson, and W. P. Kustas
Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, https://doi.org/10.5194/hess-18-1885-2014, 2014
J. L. Stein, M. F. Hutchinson, and J. A. Stein
Hydrol. Earth Syst. Sci., 18, 1917–1933, https://doi.org/10.5194/hess-18-1917-2014, https://doi.org/10.5194/hess-18-1917-2014, 2014
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
O. Merlin
Hydrol. Earth Syst. Sci., 17, 3623–3637, https://doi.org/10.5194/hess-17-3623-2013, https://doi.org/10.5194/hess-17-3623-2013, 2013
R. Guzinski, M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt
Hydrol. Earth Syst. Sci., 17, 2809–2825, https://doi.org/10.5194/hess-17-2809-2013, https://doi.org/10.5194/hess-17-2809-2013, 2013
X. M. Feng, G. Sun, B. J. Fu, C. H. Su, Y. Liu, and H. Lamparski
Hydrol. Earth Syst. Sci., 16, 2617–2628, https://doi.org/10.5194/hess-16-2617-2012, https://doi.org/10.5194/hess-16-2617-2012, 2012
N. Baghdadi, R. Cresson, M. El Hajj, R. Ludwig, and I. La Jeunesse
Hydrol. Earth Syst. Sci., 16, 1607–1621, https://doi.org/10.5194/hess-16-1607-2012, https://doi.org/10.5194/hess-16-1607-2012, 2012
J. Van doninck, J. Peters, H. Lievens, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 16, 773–786, https://doi.org/10.5194/hess-16-773-2012, https://doi.org/10.5194/hess-16-773-2012, 2012
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, and A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 16, 133–146, https://doi.org/10.5194/hess-16-133-2012, https://doi.org/10.5194/hess-16-133-2012, 2012
G.-J. Yang, C.-J. Zhao, W.-J. Huang, and J.-H. Wang
Hydrol. Earth Syst. Sci., 15, 2317–2326, https://doi.org/10.5194/hess-15-2317-2011, https://doi.org/10.5194/hess-15-2317-2011, 2011
J. Negrel, P. Kosuth, and N. Bercher
Hydrol. Earth Syst. Sci., 15, 2049–2058, https://doi.org/10.5194/hess-15-2049-2011, https://doi.org/10.5194/hess-15-2049-2011, 2011
R. Fieuzal, B. Duchemin, L. Jarlan, M. Zribi, F. Baup, O. Merlin, O. Hagolle, and J. Garatuza-Payan
Hydrol. Earth Syst. Sci., 15, 1117–1129, https://doi.org/10.5194/hess-15-1117-2011, https://doi.org/10.5194/hess-15-1117-2011, 2011
F. Baup, E. Mougin, P. de Rosnay, P. Hiernaux, F. Frappart, P. L. Frison, M. Zribi, and J. Viarre
Hydrol. Earth Syst. Sci., 15, 603–616, https://doi.org/10.5194/hess-15-603-2011, https://doi.org/10.5194/hess-15-603-2011, 2011
M. Zribi, A. Chahbi, M. Shabou, Z. Lili-Chabaane, B. Duchemin, N. Baghdadi, R. Amri, and A. Chehbouni
Hydrol. Earth Syst. Sci., 15, 345–358, https://doi.org/10.5194/hess-15-345-2011, https://doi.org/10.5194/hess-15-345-2011, 2011
L. A. Gibson, Z. Münch, and J. Engelbrecht
Hydrol. Earth Syst. Sci., 15, 295–310, https://doi.org/10.5194/hess-15-295-2011, https://doi.org/10.5194/hess-15-295-2011, 2011
H. Lievens, N. E. C. Verhoest, E. De Keyser, H. Vernieuwe, P. Matgen, J. Álvarez-Mozos, and B. De Baets
Hydrol. Earth Syst. Sci., 15, 151–162, https://doi.org/10.5194/hess-15-151-2011, https://doi.org/10.5194/hess-15-151-2011, 2011
D. Courault, R. Hadria, F. Ruget, A. Olioso, B. Duchemin, O. Hagolle, and G. Dedieu
Hydrol. Earth Syst. Sci., 14, 1731–1744, https://doi.org/10.5194/hess-14-1731-2010, https://doi.org/10.5194/hess-14-1731-2010, 2010
M. El Haj Tahir, A. Kääb, and C.-Y. Xu
Hydrol. Earth Syst. Sci., 14, 1167–1178, https://doi.org/10.5194/hess-14-1167-2010, https://doi.org/10.5194/hess-14-1167-2010, 2010
Cited articles
Asner, G. P., Scurlock, J. M. O., and Hicke, J. A.: Global synthesis of
leaf area index observations: Implications for ecological and remote sensing
studies, Global Ecol. Biogeogr., 12, 191–205, https://doi.org/10.1046/j.1466-822X.2003.00026.x, 2003.
Ayers, R. S. and Westcot, D. W.: Water quality for agriculture, Food and Agriculture Organization of the United Nations Rome, https://www.waterboards.ca.gov/water_issues/programs/tmdl/records/state_board/1985/ref2648.pdf (last access: 9 September 2022), 1985.
Azad, N., Rezayian, M., Hassanpour, H., Niknam, V., and Ebrahimzadeh, H.:
Physiological mechanism of salicylic acid in mentha pulegium l. Under
salinity and drought stress, Braz. J. Bot., 44, 359–369,
https://doi.org/10.1007/s40415-021-00706-y, 2021.
Bernstein, L. and Ayers, A.: Salt tolerance of cabbage and broccoli, United
States Salinity Laboratory Report to Collaborators, Riverside, CA, 39, 1949.
Boussetta, S., Balsamo, G., Beljaars, A., Kral, T., and Jarlan, L.: Impact
of a satellite-derived leaf area index monthly climatology in a global
numerical weather prediction model, Int. J. Remote Sens., 34, 3520–3542,
https://doi.org/10.1080/01431161.2012.716543, 2012.
Bowman, W. D.: The relationship between leaf water status, gas-exchange, and
spectral reflectance in cotton leaves, Remote Sens. Environ., 30, 249–255,
https://doi.org/10.1016/0034-4257(89)90066-7, 1989.
Broekhuizen, A.: Storm duurt dagen, droogte duurt maanden,
https://www.rijkswaterstaat.nl/nieuws/archief/2018/08/storm-duurt-dagen-droogte-duurt-maanden (last access: 14 September 2021), 2018.
Chen, Q., Timmermans, J., Wen, W., and van Bodegom, P. M.: A multi-metric
assessment of drought vulnerability across different vegetation types using
high-resolution remote sensing, Sci. Total Environ., 832, 154970, https://doi.org/10.1016/j.scitotenv.2022.154970, 2022.
Ciais, P., Reichstein, M., Viovy, N., Granier, A., Ogée, J., Allard, V.,
Aubinet, M., Buchmann, N., Bernhofer, C., Carrara, A., Chevallier, F., De
Noblet, N., Friend, A. D., Friedlingstein, P., Grünwald, T., Heinesch,
B., Keronen, P., Knohl, A., Krinner, G., Loustau, D., Manca, G., Matteucci,
G., Miglietta, F., Ourcival, J. M., Papale, D., Pilegaard, K., Rambal, S.,
Seufert, G., Soussana, J. F., Sanz, M. J., Schulze, E. D., Vesala, T., and
Valentini, R.: Europe-wide reduction in primary productivity caused by the
heat and drought in 2003, Nature, 437, 529–533,
https://doi.org/10.1038/nature03972, 2005.
Copernicus: Copernicus sentinel-2 data, Copernicus [data set], https://scihub.copernicus.eu/ (last access: 20 May 2021), 2018.
Corwin, D. L.: Climate change impacts on soil salinity in agricultural
areas, Eur. J. Soil Sci., 72, 842–862,
https://doi.org/10.1111/ejss.13010, 2020.
Croft, H., Chen, J. M., Luo, X., Bartlett, P., Chen, B., and Staebler, R.
M.: Leaf chlorophyll content as a proxy for leaf photosynthetic capacity,
Glob. Change Biol., 23, 3513–3524, https://doi.org/10.1111/gcb.13599, 2017.
Daryanto, S., Wang, L., and Jacinthe, P. A.: Global synthesis of drought
effects on maize and wheat production, PLoS One, 11, e0156362,
https://doi.org/10.1371/journal.pone.0156362, 2016a.
Daryanto, S., Wang, L. X., and Jacinthe, P. A.: Drought effects on root and
tuber production: A meta-analysis, Agr. Water Manage., 176, 122–131,
https://doi.org/10.1016/j.agwat.2016.05.019, 2016b.
Daryanto, S., Wang, L. X., and Jacinthe, P. A.: Global synthesis of drought
effects on cereal, legume, tuber and root crops production: A review, Agr.
Water Manage., 179, 18–33, https://doi.org/10.1016/j.agwat.2016.04.022, 2017.
Deb, P., Moradkhani, H., Han, X., Abbaszadeh, P., and Xu, L.: Assessing
irrigation mitigating drought impacts on crop yields with an integrated
modeling framework, J. Hydrol., 609, 127760,
https://doi.org/10.1016/j.jhydrol.2022.127760, 2022.
Delsman, J. R., Oude Essink, G. H. P., Huizer, S., Bootsma, H., Mulder, T., Zitman, P., and Romero Verastegui, B.: Actualisatie zout in het nhi – toolbox nhi zoet-zout modellering en landelijk model, Nederlands Hydrologisch Instrumentarium (NHI) [data set], https://doi.org/10.13140/RG.2.2.17077.09447, 2020.
Dente, L., Satalino, G., Mattia, F., and Rinaldi, M.: Assimilation of leaf
area index derived from asar and meris data into ceres-wheat model to map
wheat yield, Remote Sens. Environ., 112, 1395–1407,
https://doi.org/10.1016/j.rse.2007.05.023, 2008.
Doraiswamy, P. C., Sinclair, T. R., Hollinger, S., Akhmedov, B., Stern, A.,
and Prueger, J.: Application of modis derived parameters for regional crop
yield assessment, Remote Sens. Environ., 97, 192–202,
https://doi.org/10.1016/j.rse.2005.03.015, 2005.
Efimova, M. V., Kolomeichuk, L. V., Boyko, E. V., Malofii, M. K.,
Vidershpan, A. N., Plyusnin, I. N., Golovatskaya, I. F., Murgan, O. K., and
Kuznetsov, V. V.: Physiological mechanisms of solanum tuberosum l. Plants'
tolerance to chloride salinity, Russ. J. Plant Physl., 65, 394–403,
https://doi.org/10.1134/S1021443718030020, 2018.
ESA: Sentinel-2 user handbook, https://sentinel.esa.int/documents/247904/685211/sentinel-2_user_handbook (last access: 6 April 2022), 2015.
Fang, H., Baret, F., Plummer, S., and Schaepman-Strub, G.: An overview of
global leaf area index (lai): Methods, products, validation, and
applications, Rev. Geophys., 57, 739–799,
https://doi.org/10.1029/2018RG000608, 2019.
FAO, IFAD, UNICEF, WFP and WHO: The state of food security
and nutrition in the world 2020, Transforming food systems for affordable healthy diets, FAO, Rome, https://doi.org/10.4060/ca9692en, 2020.
Fatima, A., Hussain, S., Hussain, S., Ali, B., Ashraf, U., Zulfiqar, U.,
Aslam, Z., Al-Robai, S. A., Alzahrani, F. O., Hano, C., and El-Esawi, M. A.:
Differential morphophysiological, biochemical, and molecular responses of
maize hybrids to salinity and alkalinity stresses, Agronomy, 11, 1150,
https://doi.org/10.3390/agronomy11061150, 2021.
Gerhards, M., Schlerf, M., Mallick, K., and Udelhoven, T.: Challenges and
future perspectives of multi-/hyperspectral thermal infrared remote sensing
for crop water-stress detection: A review, Remote Sens., 11, 1240–1264,
https://doi.org/10.3390/rs11101240, 2019.
Ghimire, B., Timsina, D., and Nepal, J.: Analysis of chlorophyll content and
its correlation with yield attributing traits on early varieties of maize
(zea mays l.), J. Maize Res. Dev., 1, 134–145,
https://doi.org/10.3126/jmrd.v1i1.14251, 2015.
Ghosh, S. C., Asanuma, K., Kusutani, A., and Toyota, M.: Effect of salt stress on some chemical components and yield of potato, Soil Sci. Plant Nutr., 47, 467–475, https://doi.org/10.1080/00380768.2001.10408411, 2001.
Gitelson, A. A., Vina, A., Ciganda, V., Rundquist, D. C., and Arkebauer, T.
J.: Remote estimation of canopy chlorophyll content in crops, Geophys. Res.
Lett., 32, L08403, https://doi.org/10.1029/2005GL022688, 2005.
Godfray, H. C., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D.,
Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., and Toulmin, C.: Food
security: The challenge of feeding 9 billion people, Science, 327, 812–818,
https://doi.org/10.1126/science.1185383, 2010.
Harfi, M. E., Hanine, H., Rizki, H., Latrache, H., and Nabloussi, A.: Effect
of drought and salt stresses on germination and early seedling growth of
different color-seeds of sesame (sesamum indicum), Int. J. Agr. Biol., 18,
1088–1094, https://doi.org/10.17957/ijab/15.0145, 2016.
Homolova, L., Maenovsky, Z., Clevers, J. G. P. W., Garcia-Santos, G., and
Schaeprnan, M. E.: Review of optical-based remote sensing for plant trait
mapping, Ecol. Complex., 15, 1–16,
https://doi.org/10.1016/j.ecocom.2013.06.003, 2013.
Hu, Q., Yang, J., Xu, B., Huang, J., Memon, M. S., Yin, G., Zeng, Y., Zhao,
J., and Liu, K.: Evaluation of global decametric-resolution lai, fapar and
fvc estimates derived from sentinel-2 imagery, Remote Sens., 12, 912,
https://doi.org/10.3390/rs12060912, 2020.
Huang, J., Wang, H., Dai, Q., and Han, D.: Analysis of ndvi data for crop
identification and yield estimation, IEEE J. Sel. Top. Appl., 7, 4374–4384,
https://doi.org/10.1109/JSTARS.2014.2334332, 2014.
Hussain, T., Koyro, H. W., Zhang, W., Liu, X., Gul, B., and Liu, X.: Low
salinity improves photosynthetic performance in panicum antidotale under
drought stress, Front. Plant Sci., 11, 481,
https://doi.org/10.3389/fpls.2020.00481, 2020.
Ionita, M., Tallaksen, L. M., Kingston, D. G., Stagge, J. H., Laaha, G., Van Lanen, H. A. J., Scholz, P., Chelcea, S. M., and Haslinger, K.: The European 2015 drought from a climatological perspective, Hydrol. Earth Syst. Sci., 21, 1397–1419, https://doi.org/10.5194/hess-21-1397-2017, 2017.
Ivanov, V.: Main principles of fruit crop salt resistance determination,
Pochvovedenie, 4, 78–85, 1970.
Jarlan, L., Balsamo, G., Lafont, S., Beljaars, A., Calvet, J. C., and
Mougin, E.: Analysis of leaf area index in the ecmwf land surface model and
impact on latent heat and carbon fluxes: Application to west africa, J.
Geophys. Res.-Atmos., 113, D24117,
https://doi.org/10.1029/2007jd009370, 2008.
Jefferies, R.: Physiology of crop response to drought, in: Potato ecology and modelling of crops under conditions limiting growth, edited by: Haverkort, A. J. and MacKerron, D. K. L., Springer, 61–74, https://doi.org/10.1007/978-94-011-0051-9, 1995.
Jones, E. and van Vliet, M. T. H.: Drought impacts on river salinity in the
southern us: Implications for water scarcity, Sci. Total Environ., 644,
844–853, https://doi.org/10.1016/j.scitotenv.2018.06.373, 2018.
Kriston-Vizi, J., Umeda, M., and Miyamoto, K.: Assessment of the water
status of mandarin and peach canopies using visible multispectral imagery,
Biosyst. Eng., 100, 338–345,
https://doi.org/10.1016/j.biosystemseng.2008.04.001, 2008.
Levy, D.: The response of potatoes (solunum tuberosum l.) to salinity: Plant growth and tuber yields in the arid desert of israel, Ann. Appl. Biol., 120, 547–555, https://doi.org/10.1111/j.1744-7348.1992.tb04914.x, 1992.
Liang, S. and Wang, J.: fraction of absorbed photosynthetically active radiation, chap. 11, in: Advanced remote sensing (second edition), edited by: Liang, S., and Wang, J., Academic Press, 447–476, https://doi.org/10.1016/B978-0-12-815826-5.00011-8, 2020.
Liao, Q., Gu, S. J., Kang, S. Z., Du, T. S., Tong, L., Wood, J. D., and
Ding, R. S.: Mild water and salt stress improve water use efficiency by
decreasing stomatal conductance via osmotic adjustment in field maize, Sci.
Total Environ., 805, 150364,
https://doi.org/10.1016/j.scitotenv.2021.150364, 2022.
López-Lozano, R., Duveiller, G., Seguini, L., Meroni, M.,
García-Condado, S., Hooker, J., Leo, O., and Baruth, B.: Towards
regional grain yield forecasting with 1km-resolution eo biophysical
products: Strengths and limitations at pan-european level, Agr. Forest
Meteorol., 206, 12–32, https://doi.org/10.1016/j.agrformet.2015.02.021, 2015.
Lu, J., Carbone, G. J., Huang, X., Lackstrom, K., and Gao, P.: Mapping the
sensitivity of agriculture to drought and estimating the effect of
irrigation in the united states, 1950–2016, Agr. For. Meteorol., 292–293,
108124, https://doi.org/10.1016/j.agrformet.2020.108124, 2020.
Mahmood, U., Hussain, S., Hussain, S., Ali, B., Ashraf, U., Zamir, S.,
Al-Robai, S. A., Alzahrani, F. O., Hano, C., and El-Esawi, M. A.:
Morpho-physio-biochemical and molecular responses of maize hybrids to
salinity and waterlogging during stress and recovery phase, Plants (Basel),
10, 1345, https://doi.org/10.3390/plants10071345, 2021.
Masante, D. and Vogt, J.: Drought in central-northern europe-august 2018, Report of JRC European Drought Observatory (EDO), https://edo.jrc.ec.europa.eu/documents/news/EDODroughtNews201808_Central_North_Europe.pdf (last access: 26 October 2021), 2018.
McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought frequency and duration to time scales, Proceedings of the 8th Conference on Applied Climatology, California, the United States, 17–22 January 1993, 179–183, 1993
Mi, N., Cai, F., Zhang, Y. S., Ji, R. P., Zhang, S. J., and Wang, Y.:
Differential responses of maize yield to drought at vegetative and
reproductive stages, Plant Soil Environ., 64, 260–267,
https://doi.org/10.17221/141/2018-Pse, 2018.
Ministerie van Economische Zaken en Klimaat: Basisregistratie gewaspercelen (brp), Publieke Dienstverlening Op de Kaart (PDOK) [data set], https://www.pdok.nl/introductie/-/article/basisregistratie-gewaspercelen-brp- (last access: 1 June 2021), 2018.
Mkhabela, M. S., Bullock, P., Raj, S., Wang, S., and Yang, Y.: Crop yield
forecasting on the canadian prairies using modis ndvi data, Agr. Forest
Meteorol., 151, 385–393,
https://doi.org/10.1016/j.agrformet.2010.11.012, 2011.
Mulder, M., Hack-ten Broeke, M., Bartholomeus, R., van Dam, J., Heinen, M., van Bakel, J., Walvoort, D., Kroes, J., Hoving, I., and Holshof, G.: Waterwijzer landbouw: Instrumentarium voor kwantificeren van effecten van waterbeheer en klimaat op landbouwproductie, 2018-48, Stowa, https://edepot.wur.nl/464525 (last accss: 29 November 2021), 2018.
Ors, S. and Suarez, D. L.: Spinach biomass yield and physiological response
to interactive salinity and water stress, Agr. Water Manage., 190, 31–41,
https://doi.org/10.1016/j.agwat.2017.05.003, 2017.
Patane, C., Saita, A., and Sortino, O.: Comparative effects of salt and
water stress on seed germination and early embryo growth in two cultivars of
sweet sorghum, J. Agron. Crop Sci., 199, 30–37,
https://doi.org/10.1111/j.1439-037X.2012.00531.x, 2013.
de Louw, P., Kaandorp, V., Massop, H., and Veldhuizen, A.: Beregening: Deltafact, Amersfoort, Stowa, https://edepot.wur.nl/535694 (last access: 29 November 2021), 2020.
Richter, K., Rischbeck, P., Eitzinger, J., Schneider, W., Suppan, F., and
Weihs, P.: Plant growth monitoring and potential drought risk assessment by
means of earth observation data, Int. J. Remote Sens., 29, 4943–4960, https://doi.org/10.1080/01431160802036268, 2008.
Rozema, J. and Flowers, T.: Ecology. Crops for a salinized world, Science,
322, 1478–1480, https://doi.org/10.1126/science.1168572, 2008.
Sayar, R., Bchini, H., Mosbahi, M., and Khemira, H.: Response of durum wheat
(triticum durum desf.) growth to salt and drought stresses, Czech J. Genet.
Plant. Breed., 46, 54–63, https://doi.org/10.17221/85/2009-CJGPB, 2010.
Schittenhelm, S., Sourell, H., and Lopmeier, F. J.: Drought resistance of
potato cultivars with contrasting canopy architecture, Eur. J. Agron., 24,
193–202, https://doi.org/10.1016/j.eja.2005.05.004, 2006.
Schwalm, C. R., Anderegg, W. R. L., Michalak, A. M., Fisher, J. B., Biondi,
F., Koch, G., Litvak, M., Ogle, K., Shaw, J. D., Wolf, A., Huntzinger, D.
N., Schaefer, K., Cook, R., Wei, Y., Fang, Y., Hayes, D., Huang, M., Jain,
A., and Tian, H.: Global patterns of drought recovery, Nature, 548, 202–205,
https://doi.org/10.1038/nature23021, 2017.
Shinozaki, K., Uemura, M., Bailey-Serres, J., Bray, E., and Weretilnyk, E.: Responses to abiotic stress, in: Biochemistry and molecular biology of plants, edited by: Buchanan, B. B., Gruissem, W., and Jones, R. L., Wiley Blackwell, 1051–1100, ISBN 978-0-470-71422-5, 2015.
Steidle Neto, A. J., Lopes, D. d. C., Silva, T. G. F. d., Ferreira, S. O.,
and Grossi, J. A. S.: Estimation of leaf water content in sunflower under
drought conditions by means of spectral reflectance, Eng. Agric. Environ.
Food, 10, 104–108, https://doi.org/10.1016/j.eaef.2016.11.006,
2017.
Stuyt, L. C. P. M., Blom-Zandstra, M., and Kselik, R. A. L.: Inventarisatie en analyse zouttolerantie van landbouwgewassen op basis van bestaande gegevens, Wageningen environmental research rapport, Wageningen Environmental Research, https://doi.org/10.18174/391931, 2016.
Sun, L., Gao, F., Anderson, M. C., Kustas, W. P., Alsina, M. M., Sanchez,
L., Sams, B., McKee, L., Dulaney, W., White, W. A., Alfieri, J. G., Prueger,
J. H., Melton, F., and Post, K.: Daily mapping of 30 m lai and ndvi for
grape yield prediction in california vineyards, Remote Sens., 9, 317, https://doi.org/10.3390/rs9040317, 2017.
Tao, H., Borth, H., Fraedrich, K., Su, B., and Zhu, X.: Drought and wetness
variability in the tarim river basin and connection to large-scale
atmospheric circulation, Int. J. Climatol., 34, 2678–2684, https://doi.org/10.1002/joc.3867, 2014.
Tokarz, B., Wójtowicz, T., Makowski, W., Jędrzejczyk, R. J., and
Tokarz, K. M.: What is the difference between the response of grass pea
(lathyrus sativus l.) to salinity and drought stress? – a physiological
study, Agronomy, 10, 833, https://doi.org/10.3390/agronomy10060833, 2020.
Trenberth, K. E., Dai, A., van der Schrier, G., Jones, P. D., Barichivich,
J., Briffa, K. R., and Sheffield, J.: Global warming and changes in drought,
Nat. Clim. Change, 4, 17–22, https://doi.org/10.1038/nclimate2067, 2013.
Tucker, C. J.: Red and photographic infrared linear combinations for
monitoring vegetation, Remote Sens. Environ., 8, 127–150, https://doi.org/10.1016/0034-4257(79)90013-0, 1979.
Vannoppen, A., Gobin, A., Kotova, L., Top, S., De Cruz, L., Viksna, A.,
Aniskevich, S., Bobylev, L., Buntemeyer, L., Caluwaerts, S., De Troch, R.,
Gnatiuk, N., Hamdi, R., Reca Remedio, A., Sakalli, A., Van De Vyver, H., Van
Schaeybroeck, B., and Termonia, P.: Wheat yield estimation from ndvi and
regional climate models in latvia, Remote Sens., 12, 2206, https://doi.org/10.3390/rs12142206, 2020.
van Straten, G., Bruning, B., de Vos, A. C., González, A. P., Rozema,
J., and van Bodegom, P. M.: Estimating cultivar-specific salt tolerance
model parameters from multi-annual field tests for identification of salt
tolerant potato cultivars, Agr. Water Manage., 252, 106902, https://doi.org/10.1016/j.agwat.2021.106902, 2021.
Vereecken, H., Weihermuller, L., Jonard, F., and Montzka, C.:
Characterization of crop canopies and water stress related phenomena using
microwave remote sensing methods: A review, Vadose Zone J., 11,
vzj2011.0138ra, https://doi.org/10.2136/vzj2011.0138ra, 2012.
Wagg, C., Hann, S., Kupriyanovich, Y., and Li, S.: Timing of short period
water stress determines potato plant growth, yield and tuber quality, Agr.
Water Manage., 247, 106731, https://doi.org/10.1016/j.agwat.2020.106731,
2021.
Wang, J. L., Huang, X. J., Zhong, T. Y., and Chen, Z. G.: Climate change
impacts and adaptation for saline agriculture in north jiangsu province,
china, Environ. Sci. Policy, 25, 83–93, https://doi.org/10.1016/j.envsci.2012.07.011, 2013.
Weiss, M., and Baret, F.: S2toolbox level 2 products: Lai, fapar, fcover, version 1.1, ESA Contract nr 4000110612/14/I-BG, 52, https://step.esa.int/docs/extra/ATBD_S2ToolBox_L2B_V1.1.pdf (last access: 2 February 2022), 2016.
Weiss, M., Jacob, F., and Duveiller, G.: Remote sensing for agricultural
applications: A meta-review, Remote Sens. Environ., 236, 111402, https://doi.org/10.1016/j.rse.2019.111402, 2020.
Wen, W., Timmermans, J., Chen, Q., and van Bodegom, P. M.: A review of
remote sensing challenges for food security with respect to salinity and
drought threats, Remote Sens., 13, 6, https://doi.org/10.3390/rs13010006, 2020.
Wengert, M., Piepho, H. P., Astor, T., Grass, R., Wijesingha, J., and
Wachendorf, M.: Assessing spatial variability of barley whole crop biomass
yield and leaf area index in silvoarable agroforestry systems using
uav-borne remote sensing, Remote Sens., 13, 2751, https://doi.org/10.3390/rs13142751, 2021.
Wright, I. J., Reich, P. B., and Westoby, M.: Least-cost input mixtures of
water and nitrogen for photosynthesis, Am. Nat., 161, 98–111, https://doi.org/10.1086/344920, 2003.
Yang, L., Jia, K., Liang, S., Liu, M., Wei, X., Yao, Y., Zhang, X., and Liu,
D.: Spatio-temporal analysis and uncertainty of fractional vegetation cover
change over northern china during 2001–2012 based on multiple vegetation
data sets, Remote Sens., 10, 549, https://doi.org/10.3390/rs10040549, 2018.
Zhang, F. and Zhou, G.: Estimation of canopy water content by means of
hyperspectral indices based on drought stress gradient experiments of maize
in the north plain china, Remote Sens., 7, 15203–15223, https://doi.org/10.3390/rs71115203, 2015.
Zhang, F., Zhou, G. S., and Nilsson, C.: Remote estimation of the fraction
of absorbed photosynthetically active radiation for a maize canopy in
northeast china, J. Plant Ecol., 8, 429–435, https://doi.org/10.1093/jpe/rtu027, 2015.
Zhang, H., Han, M., Comas, L. H., DeJonge, K. C., Gleason, S. M., Trout, T.
J., and Ma, L.: Response of maize yield components to growth stage-based
deficit irrigation, Agron. J., 111, 3244–3252, https://doi.org/10.2134/agronj2019.03.0214, 2019.
Zhang, L., Chen, B., Zhang, G., Li, J., Wang, Y., Meng, Y., and Zhou, Z.:
Effect of soil salinity, soil drought, and their combined action on the
biochemical characteristics of cotton roots, Acta Physiol. Plant, 35,
3167–3179, https://doi.org/10.1007/s11738-013-1350-6, 2013.
Zhu, X., Wang, T. J., Skidmore, A. K., Darvishzadeh, R., Niemann, K. O., and
Liu, J.: Canopy leaf water content estimated using terrestrial lidar, Agric.
For. Meteorol., 232, 152–162, https://doi.org/10.1016/j.agrformet.2016.08.016, 2017.
Short summary
A novel approach for evaluating individual and combined impacts of drought and salinity in real-life settings is proposed using Sentinel-2. We found that crop responses to drought and salinity differ between growth stages. Compared to salinity, crop growth is most strongly affected by drought stress and is, in general, further exacerbated when co-occurring with salinity stress. Our approach facilitates a way to monitor crop health under multiple stresses with potential large-scale applications.
A novel approach for evaluating individual and combined impacts of drought and salinity in...
