Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-949-2019
© Author(s) 2019. 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-23-949-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2019
Research article |
| 18 Feb 2019
| 18 Feb 2019
Estimating daily evapotranspiration based on a model of evaporative fraction (EF) for mixed pixels
Fugen Li
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing 100101, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Zhiqing Peng
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Qinhuo Liu
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing 100101, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
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Genyun Sun, Zheng Li, Aizhu Zhang, Xin Wang, Sunjinyan Ding, Xiuping Jia, Jing Li, and Qinhuo Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-251, https://doi.org/10.5194/essd-2022-251, 2022
Manuscript not accepted for further review
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Understanding IS dynamic is vital for ensuring sustainable development in the Lancang-Mekong basin and worldwide. By integrating multi-source and multi-temporal data, we developed a 10m-resolution IS extraction approach to map accurate continuous IS in the Lancang-Mekong basin (LMISD). The derived complementary features enable LMISD to outperform existing products in mapping accuracy and detail. Numerically, results show that a large and uneven IS area increase occurs here from 2016 to 2021.
S. Lin, J. Li, and Q. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1009–1014, https://doi.org/10.5194/isprs-archives-XLII-3-1009-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1009-2018, 2018
Zhi Qing Peng, Xiaozhou Xin, Jin Jun Jiao, Ti Zhou, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 20, 4409–4438, https://doi.org/10.5194/hess-20-4409-2016, https://doi.org/10.5194/hess-20-4409-2016, 2016
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A remote sensing algorithm named temperature sharpening and flux aggregation (TSFA) was applied to HJ-1B satellite data to estimate evapotranspiration over heterogeneous surface considering landscape and statistical effects on mixed pixels. Footprint validation results showed TSFA was more accurate and less uncertain than other two upscaling methods. Additional analysis and comparison showed TSFA can capture land surface heterogeneities and integrate the effect of landscapes within mixed pixels.
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
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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
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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
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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
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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
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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.
Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
Hydrol. Earth Syst. Sci., 26, 4537–4552, https://doi.org/10.5194/hess-26-4537-2022, https://doi.org/10.5194/hess-26-4537-2022, 2022
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
Allen, R. G., Tasumi, M., Morse, A., Trezza, R., Wright, J. L., Bastiaanssen,
W., Kramber, W., Lorite, I., and Robison, C. W.: Satellite-based energy balance
for mapping evapotranspiration with internalized calibration (METRIC)-applications,
J. Irrig. Drain. Eng., 133, 395–406, 2007a.
Allen, R. G., Tasumi, M., and Trezza, R.: Satellite-based energy balance for
mapping evapotranspiration with internalized calibration (METRIC) – Model,
J. Irrig. Drain. Eng., 133, 380–394, 2007b.
Anderson, M. C., Kustas, W. P., Norman, J. M., Hain, C. R., Mecikalski, J. R.,
Schultz, L., González-Dugo, M. P., Cammalleri, C., d'Urso, G., Pimstein, A.,
and Gao, F.: Mapping daily evapotranspiration at field to continental scales
using geostationary and polar orbiting satellite imagery, Hydrol. Earth Syst.
Sci., 15, 223–239, https://doi.org/10.5194/hess-15-223-2011, 2011.
Anderson, M. C., Allen, R. G., Morse, A., and Kustas, W. P.: Use of Landsat
thermal imagery in monitoring evapotranspiration and managing water resources,
Remote Sens. Environ., 122, 50–65, 2012.
Andrews, L.: A template for the nearest neighbor problem, C/C
Bastiaanssen, W. G., Menenti, M., Feddes, R., and Holtslag, A.: A remote
sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, J.
Hydrol., 212, 198–212, 1998.
Bin, L. and Roni, A.: The Impact of Spatial Variability of Land-Surface
Characteristics on Land-Surface Heat Fluxes, J. Climate, 7, 527–537, 1994.
Bisht, G., Venturini, V., Islam, S., and Jiang, L.: Estimation of the net
radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for
clear sky days, Remote Sens. Environ., 97, 52–67, 2005.
Blonquist Jr, J., Norman, J., and Bugbee, B.: Automated measurement of canopy
stomatal conductance based on infrared temperature, Agr. Forest Meteorol.,
149, 2183–2197, 2009.
Blyth, E. M. and Harding, R. J.: Application of aggregation models to surface
heat flux from the Sahelian tiger bush, Agr. Forest Meteorol., 72, 213–235, 1995.
Bonan, G. B., Pollard, D., and Thompson, S. L.: Influence of Subgrid-Scale
Heterogeneity in Leaf Area Index, Stomatal Resistance, and Soil Moisture on
Grid-Scale Land–Atmosphere Interactions, J. Climate, 6, 1882–1897, 1993.
Bonan, G. B., Levis, S., Kergoat, L., and Oleson, K. W.: Landscapes as patches
of plant functional types: An integrating concept for climate and ecosystem
models, Global Biogeochem. Cy., 16, 5-1–5-23, 2002.
Cammalleri, C., Anderson, M., Ciraolo, G., D'urso, G., Kustas, W., La Loggia,
G., and Minacapilli, M.: Applications of a remote sensing-based two-source
energy balance algorithm for mapping surface fluxes without in situ air
temperature observations, Remote Sens. Environ., 124, 502–515, 2012.
CARD – World Data System for Cold and Arid Regions: http://card.westgis.ac.cn/data/ 6bbf9a3f-e7d8-4255-9ecb-131e1543316d
(last access: 18 January 2016), 2016a.
CARD – World Data System for Cold and Arid Regions: http://card. westgis.ac.cn/hiwater/mso
(last access: 4 July 2016), 2016b.
Carlson, T.: An overview of the “triangle method” for estimating surface
evapotranspiration and soil moisture from satellite imagery, Sensors, 7, 1612–1629, 2007.
Chávez, J. L., Neale, C. M. U., Prueger, J. H., and Kustas, W. P.: Daily
evapotranspiration estimates from extrapolating instantaneous airborne remote
sensing ET values, Irrig. Sci., 27, 67–81, 2008.
Chen, J. M.: Spatial scaling of a remotely sensed surface parameter by contexture,
Remote Sens. Environ., 69, 30–42, 1999.
CRESDA – China Centre for Resources Satellite Data and Application:
http://218.247.138.119:7777/DSSPlatform/productSearch.html, 2012.
El Maayar, M. and Chen, J. M.: Spatial scaling of evapotranspiration as affected
by heterogeneities in vegetation, topography, and soil texture, Remote Sens.
Environ., 102, 33–51, 2006.
Ershadi, A., Mccabe, M. F., Evans, J. P., and Walker, J. P.: Effects of spatial
aggregation on the multi-scale estimation of evapotranspiration, Remote Sens.
Environ., 131, 51–62, 2013.
Falge, E., Baldocchi, D., Olson, R., Anthoni, P., Aubinet, M., Bernhofer, C.,
Burba, G., Ceulemans, R., Clement, R., and Han, D.: Gap filling strategies for
defensible annual sums of net ecosystem exchange, Agr. Forest Meteorol.,
107, 43–69, 2001.
Fisher, J., Mallick, K., Lee, J., Hulley, G., Hughes, C., and Hook, S.:
Uncertainty in evapotranspiration from uncertainty in land surface temperature,
American Meteorological Society, Austin, Texas, 2013.
Garrigues, S., Allard, D., Baret, F., and Weiss, M.: Quantifying spatial
heterogeneity at the landscape scale using variogram models, Remote Sens. Environ.,
103, 81–96, 2006.
Gottschalk, L., Batchvarova, E., Gryning, S. E., Lindroth, A., Melas, D.,
Motovilov, Y., Frech, M., Heikinheimo, M., Samuelsson, P., and Grelle, A.:
Scale aggregation – comparison of flux estimates from NOPEX, Agr. Forest
Meteorol., 98–99, 103–119, 1999.
Gu, J., Li, X., and Huang, C.: Land Cover Classification in Heihe River Basin
with Time Series – MODIS NDVI Data, in: International Conference on Fuzzy
Systems and Knowledge Discovery, 18–20 October 2008, Jinan, Shandong,
China, 477–481, 2008.
He, L., Chen, J. M., Pisek, J., Schaaf, C. B., and Strahler, A. H.: Global
clumping index map derived from the MODIS BRDF product, Remote Sens. Environ.,
119, 118–130, 2012.
Hong, S. H., Hendrickx, J. M. H., and Borchers, B.: Up-scaling of SEBAL derived
evapotranspiration maps from Landsat (30 m) to MODIS (250 m) scale, J. Hydrol.,
370, 122–138, 2009.
Hook, S. J., Chander, G., Barsi, J. A., Alley, R. E., Abtahi, A., Palluconi,
F. D., Markham, B. L., Richards, R. C., Schladow, S. G., and Helder, D. L.:
In-flight validation and recovery of water surface temperature with Landsat-5
thermal infrared data using an automated high-altitude lake validation site at
Lake Tahoe, IEEE T. Geosci. Remote, 42, 2767–2776, 2004.
Hu, G. and Jia, L.: Monitoring of evapotranspiration in a semi-arid inland
river basin by combining microwave and optical remote sensing observations,
Remote Sensing, 7, 3056–3087, 2015.
Hu, Z. L. and Islam, S.: A framework for analyzing and designing scale invariant
remote sensing algorithms, T. IEEE Geosci. Remote, 35, 747–755, 1997.
Hulley, G. C., Hughes, C. G., and Hook, S. J.: Quantifying uncertainties in
land surface temperature and emissivity retrievals from ASTER and MODIS thermal
infrared data, J. Geophys. Res.-Atmos., 117, D23113, https://doi.org/10.1029/2012JD018506, 2012.
Jackson, R. D., Hatfield, J. L., Reginato, R. J., Idso, S. B., and Jr, P. J. P.:
Estimation of daily evapotranspiration from one time-of-day measurements, Agr.
Water Manage., 7, 351–362, 1983.
Jiang, B., Liang, S., Townshend, J. R., and Zan, M. D.: Assessment of the
Radiometric Performance of Chinese HJ-1 Satellite CCD Instruments, IEEE J.
Select. Top. Appl. Earth Obs. Remote Sens., 6, 840–850, 2013.
Jiao, J., Xin, X., Shanshan, Y. U., Zhou, T., and Peng, Z.: Estimation of
surface energy balance from HJ-1 satellite data, J. Remote Sens., 18, 1048–1058, 2014.
Jin, Z., Tian, Q., Chen, J. M., and Chen, M.: Spatial scaling between leaf
area index maps of different resolutions, J. Environ. Manage., 85, 628–637, 2007.
Kimball, J. S., Running, S. W., and Saatchi, S. S.: Sensitivity of boreal
forest regional water flux and net primary production simulations to
sub-grid-scale land cover complexity, J. Geophys. Res.-Atmos., 104, 27789–27801, 1999.
Kormann, R. and Meixner, F. X.: An Analytical Footprint Model For Non-Neutral
Stratification, Bound.-Lay. Meteorol., 99, 207–224, 2001.
Kustas, W. P. and Norman, J. M.: Evaluating the effects of subpixel heterogeneity
on pixel average fluxes, Remote Sens. Environ., 74, 327–342, 2000.
Kustas, W. P., Moran, M. S., and Meyers, T. P.: The Bushland Evapotranspiration
and Agricultural Remote Sensing Experiment 2008 (BEAREX08) Special Issue,
Adv. Water Resour., 50, 1–3, 2012.
Li, H., Liu, Q., Zhong, B., Du, Y., Wang, H., and Wang, Q.: A single-channel
algorithm for land surface temperature retrieval from HJ-1B/IRS data based
on a parametric model, in: 2010 IEEE International Geoscience and Remote Sensing
Symposium (IGARSS), Honolulu, Hawaii, USA, 2448–2451, 2010.
Li, L., Xin, X. Z., Su, G. L., and Liu, Q. H.: Photosynthetically active
radiation retrieval based on HJ-1A/B satellite data, Sci. China Earth Sci.,
53, 81–91, 2011.
Li, X. and Wang, Y.: Prospects on future developments of quantitative remote
sensing, Acta Geogr. Sin., 68, 1163–1169, https://doi.org/10.11821/dlxb201309001, 2013.
Li, X., Cao, C., and Chang, C.: The first law of geography and spatial temporal
proximity, Chin. J. Nat., 29, 69–71, 2007.
Li, X., Cheng, G., Liu, S., Xiao, Q., Ma, M., Jin, R., Che, T., Liu, Q., Wang,
W., and Qi, Y.: Heihe Watershed Allied Telemetry Experimental Research (HiWATER):
Scientific Objectives and Experimental Design, B. Am. Meteorol. Soc., 94, 1145–1160, 2013.
Li, Z. L., Tang, B. H., Wu, H., Ren, H., Yan, G., Wan, Z., Trigo, I. F., and
Sobrino, J. A.: Satellite-derived land surface temperature: Current status and
perspectives, Remote Sens. Environ., 131, 14–37, 2013.
Liang, S., Stroeve, J., and Box, J. E.: Mapping daily snow/ice shortwave
broadband albedo from Moderate Resolution Imaging Spectroradiometer (MODIS):
The improved direct retrieval algorithm and validation with Greenland in situ
measurement, J. Geophys. Res.-Atmos., 110, D10109, https://doi.org/10.1029/2004JD005493, 2005.
Liu, D., Li, J., Yu, Q., Tong, X., and Ouyang, Z.: Energy balance closure and
its effects on evapotranspiration measurements with the eddy covariance
technique in a cropland, Acta Ecol. Sin., 32, 5309–5317, 2012.
Liu, Q., Wang, L., Qu, Y., Liu, N., Liu, S., Tang, H., and Liang, S.: Preliminary
evaluation of the long-term GLASS albedo product, Int. J. Digit. Earth,
6, 69–95, 2013.
Liu, S., Xu, Z., Song, L., Zhao, Q., Ge, Y., Xu, T., Ma, Y., Zhu, Z., Jia,
Z., and Zhang, F.: Upscaling evapotranspiration measurements from multi-site
to the satellite pixel scale over heterogeneous land surfaces, Agricultural
& Forest Meteorology, 230, 97-113, 2016.
Liu, S. M., Xu, Z. W., Wang, W. Z., Jia, Z. Z., Zhu, M. J., Bai, J., and Wang,
J. M.: A comparison of eddy-covariance and large aperture scintillometer
measurements with respect to the energy balance closure problem, Hydrol. Earth
Syst. Sci., 15, 1291–1306, https://doi.org/10.5194/hess-15-1291-2011, 2011.
Long, D. and Singh, V. P.: A two-source trapezoid model for evapotranspiration (TTME)
from satellite imagery, Remote Sens. Environ., 121, 370–388, 2012.
Ma, M. and Veroustraete, F.: Interannual variability of vegetation cover in the
Chinese Heihe River Basin and its relation to meterological parameters, Int.
J. Remote Sens., 27, 3473–3486, 2006.
McCabe, M. F. and Wood, E. F.: Scale influences on the remote estimation of
evapotranspiration using multiple satellite sensors, Remote Sens. Environ.,
105, 271–285, https://doi.org/10.1016/j.rse.2006.07.006, 2006.
McCabe, M. F., Rodell, M., Alsdorf, D. E., Miralles, D. G., Uijlenhoet, R.,
Wagner, W., Lucieer, A., Houborg, R., Verhoest, N. E. C., Franz, T. E., Shi, J.,
Gao, H., and Wood, E. F.: The future of Earth observation in hydrology, Hydrol.
Earth Syst. Sci., 21, 3879–3914, https://doi.org/10.5194/hess-21-3879-2017, 2017.
Miller, H. J.: Tobler's First Law and Spatial Analysis, Ann. Assoc. Am. Geogr.,
94, 284–289, 2004.
Moran, M. S., Humes, K. S., and Pinter Jr., P. J.: The scaling characteristics
of remotely-sensed variables for sparsely-vegetated heterogeneous landscapes,
J. Hydrol., 190, 337–362, 1997.
Mu, Q., Heinsch, F. A., Zhao, M., and Running, S. W.: Development of a global
evapotranspiration algorithm based on MODIS and global meteorology data, Remote
Sens. Environ., 111, 519–536, 2007.
Mu, Q., Zhao, M., and Running, S. W.: Improvements to a MODIS global terrestrial
evapotranspiration algorithm, Remote Sens. Environ., 115, 1781–1800, 2011.
Nichols, W. E. and Cuenca, R. H.: Evaluation of the evaporative fraction for
parameterization of the surface energy balance, Water Resour. Res., 29, 3681–3690, 2010.
Nilson, T.: A theoretical analysis of the frequency of gaps in plant stands,
Agricult. Meteorol., 8, 25–38, 1971.
Norman, J. M., Kustas, W. P., and Humes, K. S.: Source approach for estimating
soil and vegetation energy fluxes in observations of directional radiometric
surface temperature, Agr. Forest Meteorol., 77, 263–293, 1995.
Norman, J. M., Anderson, M. C., Kustas, W. P., French, A. N., Mecikalski, J.,
Torn, R., Diak, G. R., Schmugge, T. J., and Tanner, B. C. W.: Remote sensing of
surface energy fluxes at 101-m pixel resolutions, Water Resour. Res., 39, 1221,
https://doi.org/10.1029/2002WR001775, 2003.
Pan, Z. and Liu, G.: Evapotranspiration Research of Yellow River Delta Using
Remote Sensing Method, Geo-Inform. Sci., 3, 91–96, 2003.
Peng, Z. Q., Xin, X., Jiao, J. J., Zhou, T., and Liu, Q.: Remote sensing
algorithm for surface evapotranspiration considering landscape and statistical
effects on mixed pixels, Hydrol. Earth Syst. Sci., 20, 4409–4438,
https://doi.org/10.5194/hess-20-4409-2016, 2016.
Sánchez, J., Kustas, W., Caselles, V., and Anderson, M.: Modelling surface
energy fluxes over maize using a two-source patch model and radiometric soil
and canopy temperature observations, Remote Sens. Environ., 112, 1130–1143, 2008.
Seguin, B., Becker, F., Phulpin, T., Gu, X., Guyot, G., Kerr, Y., King, C.,
Lagouarde, J., Ottlé, C., and Stoll, M.: IRSUTE: a minisatellite project
for land surface heat flux estimation from field to regional scale, Remote
Sens. Environ., 68, 357–369, 1999.
Sharma, V., Kilic, A., and Irmak, S.: Impact of scale/resolution on
evapotranspiration from Landsat and Modis images, Water Resour. Res., 52, 1207–1221, 2016.
Su, Z.: The Surface Energy Balance System (SEBS) for estimation of turbulent
heat fluxes, Hydrol. Earth Syst. Sci., 6, 85–100, https://doi.org/10.5194/hess-6-85-2002, 2002.
Sugita, M. and Brutsaert, W.: Daily evaporation over a region from lower
boundary layer profiles measured with radiosondes, Water Resour. Res.,
27, 747–752, 1991.
Tian, Y., Woodcock, C. E., Wang, Y., Privette, J. L., Shabanov, N. V., Zhou, L.,
Zhang, Y., Buermann, W., Dong, J., and Veikkanen, B.: Multiscale analysis and
validation of the MODIS LAI product: I. Uncertainty assessment, Remote Sens.
Environ., 83, 414–430, 2002.
Timmermans, W. J., Kustas, W. P., Anderson, M. C., and French, A. N.: An
intercomparison of the surface energy balance algorithm for land (SEBAL) and
the two-source energy balance (TSEB) modeling schemes, Remote Sens. Environ.,
108, 369–384, 2007.
Tobler, W.: On the First Law of Geography: A Reply, Ann. Assoc. Am. Geogr.,
94, 304–310, 2004.
Valor, E. and Caselles, V.: Mapping land surface emissivity from NDVI:
application to European, African, and South American areas, Remote Sens. Environ.,
57, 167–184, 1996.
Wu, J., Ding, Y., Wang, G., Yamazaki, Y., and Kubota, J.: Evapotranspiration
of intercropping field in an artifical oasis in arid region, T. Chin. Soc. Agr.
Eng., 22, 16–20, 2006.
Xin, X., Liu, Y., and Liu, Q.: Spatial-scale error correction methods for
regional fluxes retrieval using MODIS data, J. Remote Sens., 16, 207–231, 2012.
Xu, Z. W., Liu, S. M., Li, X., Shi, S. J., Wang, J. M., Zhu, Z. L., Xu, T. R.,
Wang, W. Z., and Ma, M. G.: Intercomparison of surface energy flux measurement
systems used during the HiWATER-MUSOEXE, J. Geophys. Res.-Atmos., 118,
13140–13157, https://doi.org/10.1002/2013JD020260, 2013.
Yang, K. and Wang, J. M.: A temperature prediction-correction method for
estimating surface soil heat flux from soil temperature and moisture data,
Sci. China Earth Sci., 51, 721–729, 2008.
Yu, W., Li, J., Liu, Q., Zeng, Y., Yin, G., Zhao, J., and Xu, B.: Extraction
and Analysis of Land Cover Heterogeneity over China, Adv. Earth Sci.,
31, 1067–1077, 2016.
Zezula, P., Amato, G., Dohnal, V., and Batko, M.: Similarity search: the metric
space approach, Springer Science & Business Media, Heidelberg, 2006.
Zhang, L. and Lemeur, R.: Evaluation of daily evapotranspiration estimates from
instantaneous measurements, Agr. Forest Meteorol., 74, 139–154, 1995.
Zhang, X., Zhao, X., Liu, G., Qian, K., and Wu, D.: Radioactive Quality
Evaluation and Cross Validation of Data from the HJ-1A/B Satellites' CCD Sensors,
Sensors, 13, 8564–8576, 2013.
Zhong, B., Ma, P., Nie, A., Yang, A., Yao, Y., Lü, W., Zhang, H., and Liu,
Q.: Land cover mapping using time series HJ-1/CCD data, Sci. China Earth Sci.,
57, 1790–1799, 2014a.
Zhong, B., Zhang, Y., Du, T., Yang, A., Lv, W., and Liu, Q.: Cross-Calibration
of HJ-1/CCD Over a Desert Site Using Landsat ETM+ Imagery and ASTER GDEM
Product, IEEE T. Geosci. Remote, 52, 7247–7263, 2014b.
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.
This study proposes a simple but efficient model for estimating daily evapotranspiration...
