Articles | Volume 19, issue 1
https://doi.org/10.5194/hess-19-341-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-341-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jan 2015
Research article |
| 19 Jan 2015
Satellite radar altimetry for monitoring small rivers and lakes in Indonesia
Y. B. Sulistioadi
CORRESPONDING AUTHOR
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Department of Forest Science, University of Mulawarman, Samarinda, Indonesia
K.-H. Tseng
Center of Space & Remote Sensing Research, National Central University, Taoyuan, Taiwan
C. K. Shum
Division of Geodetic Science, School of Earth Sciences, the Ohio State University, Columbus, OH, USA
Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
H. Hidayat
Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, the Netherlands
Research Center for Limnology, Indonesian Institute of Sciences, Cibinong, Indonesia
M. Sumaryono
Department of Forest Science, University of Mulawarman, Samarinda, Indonesia
A. Suhardiman
Department of Forest Science, University of Mulawarman, Samarinda, Indonesia
Department of Global Agricultural Sciences, the University of Tokyo, Tokyo, Japan
F. Setiawan
Research Center for Limnology, Indonesian Institute of Sciences, Cibinong, Indonesia
S. Sunarso
PT Vale Indonesia, Tbk, Sorowako, Indonesia
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João Teixeira da Encarnação, Pieter Visser, Daniel Arnold, Aleš Bezdek, Eelco Doornbos, Matthias Ellmer, Junyi Guo, Jose van den IJssel, Elisabetta Iorfida, Adrian Jäggi, Jaroslav Klokocník, Sandro Krauss, Xinyuan Mao, Torsten Mayer-Gürr, Ulrich Meyer, Josef Sebera, C. K. Shum, Chaoyang Zhang, Yu Zhang, and Christoph Dahle
Earth Syst. Sci. Data, 12, 1385–1417, https://doi.org/10.5194/essd-12-1385-2020, https://doi.org/10.5194/essd-12-1385-2020, 2020
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Although not the primary mission of the Swarm three-satellite constellation, the sensors on these satellites are accurate enough to measure the melting and accumulation of Earth’s ice reservoirs, precipitation cycles, floods, and droughts, amongst others. Swarm sees these changes well compared to the dedicated GRACE satellites at spatial scales of roughly 1500 km. Swarm confirms most GRACE observations, such as the large ice melting in Greenland and the wet and dry seasons in the Amazon.
Stephen Coss, Michael Durand, Yuchan Yi, Yuanyuan Jia, Qi Guo, Stephen Tuozzolo, C. K. Shum, George H. Allen, Stéphane Calmant, and Tamlin Pavelsky
Earth Syst. Sci. Data, 12, 137–150, https://doi.org/10.5194/essd-12-137-2020, https://doi.org/10.5194/essd-12-137-2020, 2020
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We present a new radar-altimeter-satellite-measured river surface height dataset. Our novel approach is broadly applicable rather than location specific. We were able to measure rivers that account for > 34 % of global drainage area with an accuracy comparable to much of the established literature. 389 of our 932 measurement locations include river gage validation. We have focused our efforts on creating a consistent, well-documented data product to encourage use by the broader science community.
Qiang Shen, Hansheng Wang, C. K. Shum, Liming Jiang, Hou Tse Hsu, Jinglong Dong, Song Mao, and Fan Gao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-149, https://doi.org/10.5194/essd-2018-149, 2018
Revised manuscript not accepted
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Thorough and continued monitoring of ice-sheet dynamics is of utmost importance for accurate predictions of ice-sheet behavior in the future. We present a new Antarctic ice velocity map at a 100-m grid spacing inferred from Landsat 8 imagery data. The datasets will allow for a comprehensive continent-wide investigation of ice dynamics and mass balance with the existing and future ice velocity measurements, provide control and calibration for ice-sheet modelling.
Hidayat Hidayat, Adriaan J. Teuling, Bart Vermeulen, Muh Taufik, Karl Kastner, Tjitske J. Geertsema, Dinja C. C. Bol, Dirk H. Hoekman, Gadis Sri Haryani, Henny A. J. Van Lanen, Robert M. Delinom, Roel Dijksma, Gusti Z. Anshari, Nining S. Ningsih, Remko Uijlenhoet, and Antonius J. F. Hoitink
Hydrol. Earth Syst. Sci., 21, 2579–2594, https://doi.org/10.5194/hess-21-2579-2017, https://doi.org/10.5194/hess-21-2579-2017, 2017
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Hydrological prediction is crucial but in tropical lowland it is difficult, considering data scarcity and river system complexity. This study offers a view of the hydrology of two tropical lowlands in Indonesia. Both lowlands exhibit the important role of upstream wetlands in regulating the flow downstream. We expect that this work facilitates a better prediction of fire-prone conditions in these regions.
Qiang Shen, Hansheng Wang, Che-Kwan Shum, Liming Jiang, Hou Tse Hsu, and Jinglong Dong
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-34, https://doi.org/10.5194/tc-2017-34, 2017
Preprint withdrawn
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We constructed two present-day continent-wide ice flow maps on Antarctica, and estimated its mass balances over the last decade. An increased mass discharge from Wilkes Land, East Antarctica was found, contrary to the long-standing belief that accelerated mass loss primarily originates from West Antarctica and Antarctic Peninsula. Our maps allow the first continent-wide assessment of mass discharge changes in the last decade, which will contribute to our understanding of Antarctic ice dynamics.
K.-H. Tseng, K. T. Liu, C. K. Shum, Y. Jia, K. Shang, and C. Dai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 399–402, https://doi.org/10.5194/isprs-archives-XLI-B8-399-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-399-2016, 2016
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Subject: Rivers and Lakes | Techniques and Approaches: Remote Sensing and GIS
High-resolution automated detection of headwater streambeds for large watersheds
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Hydrological regime of Sahelian small waterbodies from combined Sentinel-2 MSI and Sentinel-3 Synthetic Aperture Radar Altimeter data
Deriving transmission losses in ephemeral rivers using satellite imagery and machine learning
Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020
Changes in glacial lakes in the Poiqu River basin in the central Himalayas
Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept
A simple cloud-filling approach for remote sensing water cover assessments
Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records
Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B
Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions
Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters
Technical Note: Flow velocity and discharge measurement in rivers using terrestrial and unmanned-aerial-vehicle imagery
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Exposure of tourism development to salt karst hazards along the Jordanian Dead Sea shore
A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry
Surface water monitoring in small water bodies: potential and limits of multi-sensor Landsat time series
Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle
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Quantification of the contribution of the Beauce groundwater aquifer to the discharge of the Loire River using thermal infrared satellite imaging
Swath-altimetry measurements of the main stem Amazon River: measurement errors and hydraulic implications
Quantifying river form variations in the Mississippi Basin using remotely sensed imagery
River ice flux and water velocities along a 600 km-long reach of Lena River, Siberia, from satellite stereo
Geometric dependency of Tibetan lakes on glacial runoff
Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data
River monitoring from satellite radar altimetry in the Zambezi River basin
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Francis Lessard, Naïm Perreault, and Sylvain Jutras
Hydrol. Earth Syst. Sci., 28, 1027–1040, https://doi.org/10.5194/hess-28-1027-2024, https://doi.org/10.5194/hess-28-1027-2024, 2024
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Headwaters streams, which are small streams at the top of a watershed, represent two-thirds of the total length of streams, yet their exact locations are still unknown. This article compares different techniques in order to remotely detect the position of these streams. Thus, a database of more than 464 km of headwaters was used to explain what drives their presence. A technique developed in this article makes it possible to detect headwater streams with more accuracy, despite the land uses.
Sijia Li, Shiqi Xu, Kaishan Song, Tiit Kutser, Zhidan Wen, Ge Liu, Yingxin Shang, Lili Lyu, Hui Tao, Xiang Wang, Lele Zhang, and Fangfang Chen
Hydrol. Earth Syst. Sci., 27, 3581–3599, https://doi.org/10.5194/hess-27-3581-2023, https://doi.org/10.5194/hess-27-3581-2023, 2023
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1. Blue/red and green/red Rrs(λ) are sensitive to lake TSI. 2. Machine learning algorithms reveal optimum performance of TSI retrieval. 3. An accurate TSI model was achieved by MSI imagery data and XGBoost. 4. Trophic status in five limnetic regions was qualified. 5. The 10m TSI products were first produced in 555 typical lakes in China.
Mathilde de Fleury, Laurent Kergoat, and Manuela Grippa
Hydrol. Earth Syst. Sci., 27, 2189–2204, https://doi.org/10.5194/hess-27-2189-2023, https://doi.org/10.5194/hess-27-2189-2023, 2023
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This study surveys small lakes and reservoirs, which are vital resources in the Sahel, through a multi-sensor satellite approach. Water height changes compared to evaporation losses in dry seasons highlight anthropogenic withdrawals and water supplies due to river and groundwater connections. Some reservoirs display weak withdrawals, suggesting low usage may be due to security issues. The
satellite-derived water balance thus proved effective in estimating water resources in semi-arid areas.
Antoine Di Ciacca, Scott Wilson, Jasmine Kang, and Thomas Wöhling
Hydrol. Earth Syst. Sci., 27, 703–722, https://doi.org/10.5194/hess-27-703-2023, https://doi.org/10.5194/hess-27-703-2023, 2023
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We present a novel framework to estimate how much water is lost by ephemeral rivers using satellite imagery and machine learning. This framework proved to be an efficient approach, requiring less fieldwork and generating more data than traditional methods, at a similar accuracy. Furthermore, applying this framework improved our understanding of the water transfer at our study site. Our framework is easily transferable to other ephemeral rivers and could be applied to long time series.
Xidong Chen, Liangyun Liu, Xiao Zhang, Junsheng Li, Shenglei Wang, Yuan Gao, and Jun Mi
Hydrol. Earth Syst. Sci., 26, 3517–3536, https://doi.org/10.5194/hess-26-3517-2022, https://doi.org/10.5194/hess-26-3517-2022, 2022
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A 30 m LAke Water Secchi Depth (LAWSD30) dataset of China was first developed for 1985–2020, and national-scale water clarity estimations of lakes in China over the past 35 years were analyzed. Lake clarity in China exhibited a significant downward trend before the 21st century, but improved after 2000. The developed LAWSD30 dataset and the evaluation results can provide effective guidance for water preservation and restoration.
Pengcheng Su, Jingjing Liu, Yong Li, Wei Liu, Yang Wang, Chun Ma, and Qimin Li
Hydrol. Earth Syst. Sci., 25, 5879–5903, https://doi.org/10.5194/hess-25-5879-2021, https://doi.org/10.5194/hess-25-5879-2021, 2021
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We identified ± 150 glacial lakes in the Poiqu River basin (central Himalayas), and we explore the changes in five lakes over the last few decades based on remote sensing images, field surveys, and satellite photos. We reconstruct the lake basin topography, calculate the water capacity, and propose a water balance equation (WBE) to explain glacial lake evolution in response to local weather conditions. The WBE also provides a framework for the water balance in rivers from glacierized sources.
Concetta Di Mauro, Renaud Hostache, Patrick Matgen, Ramona Pelich, Marco Chini, Peter Jan van Leeuwen, Nancy K. Nichols, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 4081–4097, https://doi.org/10.5194/hess-25-4081-2021, https://doi.org/10.5194/hess-25-4081-2021, 2021
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This study evaluates how the sequential assimilation of flood extent derived from synthetic aperture radar data can help improve flood forecasting. In particular, we carried out twin experiments based on a synthetically generated dataset with controlled uncertainty. Our empirical results demonstrate the efficiency of the proposed data assimilation framework, as forecasting errors are substantially reduced as a result of the assimilation.
Connor Mullen, Gopal Penny, and Marc F. Müller
Hydrol. Earth Syst. Sci., 25, 2373–2386, https://doi.org/10.5194/hess-25-2373-2021, https://doi.org/10.5194/hess-25-2373-2021, 2021
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The level of lake water is rapidly changing globally, and long-term, consistent observations of lake water extents are essential for ascertaining and attributing these changes. These data are rarely collected and challenging to obtain from satellite imagery. The proposed method addresses these challenges without any local data, and it was successfully validated against lakes with and without ground data. The algorithm is a valuable tool for the reliable historical water extent of changing lakes.
Song Shu, Hongxing Liu, Richard A. Beck, Frédéric Frappart, Johanna Korhonen, Minxuan Lan, Min Xu, Bo Yang, and Yan Huang
Hydrol. Earth Syst. Sci., 25, 1643–1670, https://doi.org/10.5194/hess-25-1643-2021, https://doi.org/10.5194/hess-25-1643-2021, 2021
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This study comprehensively evaluated 11 satellite radar altimetry missions (including their official retrackers) for lake water level retrieval and developed a strategy for constructing consistent long-term water level records for inland lakes. It is a two-step bias correction and normalization procedure. First, we use Jason-2 as the initial reference to form a consistent TOPEX/Poseidon–Jason series. Then, we use this as the reference to remove the biases with other radar altimetry missions.
Cecile M. M. Kittel, Liguang Jiang, Christian Tøttrup, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 25, 333–357, https://doi.org/10.5194/hess-25-333-2021, https://doi.org/10.5194/hess-25-333-2021, 2021
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In poorly instrumented catchments, satellite altimetry offers a unique possibility to obtain water level observations. Improvements in instrument design have increased the capabilities of altimeters to observe inland water bodies, including rivers. In this study, we demonstrate how a dense Sentinel-3 water surface elevation monitoring network can be established at catchment scale using publicly accessible processing platforms. The network can serve as a useful supplement to ground observations.
Jean Bergeron, Gabriela Siles, Robert Leconte, Mélanie Trudel, Damien Desroches, and Daniel L. Peters
Hydrol. Earth Syst. Sci., 24, 5985–6000, https://doi.org/10.5194/hess-24-5985-2020, https://doi.org/10.5194/hess-24-5985-2020, 2020
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We want to assess how well the Surface Water and Ocean Topography (SWOT) satellite mission will be able to provide information on lake surface water elevation and how much of an impact wind conditions (speed and direction) can have on these retrievals.
Charlotte Marie Emery, Sylvain Biancamaria, Aaron Boone, Sophie Ricci, Mélanie C. Rochoux, Vanessa Pedinotti, and Cédric H. David
Hydrol. Earth Syst. Sci., 24, 2207–2233, https://doi.org/10.5194/hess-24-2207-2020, https://doi.org/10.5194/hess-24-2207-2020, 2020
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The flow of freshwater in rivers is commonly studied with computer programs known as hydrological models. An important component of those programs lies in the description of the river environment, such as the channel resistance to the flow, that is critical to accurately predict the river flow but is still not well known. Satellite data can be combined with models to enrich our knowledge of these features. Here, we show that the coming SWOT mission can help better know this channel resistance.
Anette Eltner, Hannes Sardemann, and Jens Grundmann
Hydrol. Earth Syst. Sci., 24, 1429–1445, https://doi.org/10.5194/hess-24-1429-2020, https://doi.org/10.5194/hess-24-1429-2020, 2020
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An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.
Andreas Kääb, Bas Altena, and Joseph Mascaro
Hydrol. Earth Syst. Sci., 23, 4233–4247, https://doi.org/10.5194/hess-23-4233-2019, https://doi.org/10.5194/hess-23-4233-2019, 2019
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Knowledge of water surface velocities in rivers is useful for understanding a wide range of processes and systems, but is difficult to measure over large reaches. Here, we present a novel method to exploit near-simultaneous imagery produced by the Planet cubesat constellation to track river ice floes and estimate water surface velocities. We demonstrate the method for a 60 km long reach of the Amur River and a 200 km long reach of the Yukon River.
Najib Abou Karaki, Simone Fiaschi, Killian Paenen, Mohammad Al-Awabdeh, and Damien Closson
Hydrol. Earth Syst. Sci., 23, 2111–2127, https://doi.org/10.5194/hess-23-2111-2019, https://doi.org/10.5194/hess-23-2111-2019, 2019
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The Dead Sea shore is a unique salt karst system. Development began in the 1960s, when the water resources that used to feed the Dead Sea were diverted. The water level is falling at more than 1 m yr−1, causing a hydrostatic disequilibrium between the underground fresh water and the base level. Despite these conditions, tourism development projects have flourished. Here, we show that a 10 km long strip of coast that encompasses several resorts is exposed to subsidence, sinkholes and landslides.
Tim Busker, Ad de Roo, Emiliano Gelati, Christian Schwatke, Marko Adamovic, Berny Bisselink, Jean-Francois Pekel, and Andrew Cottam
Hydrol. Earth Syst. Sci., 23, 669–690, https://doi.org/10.5194/hess-23-669-2019, https://doi.org/10.5194/hess-23-669-2019, 2019
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This paper estimates lake and reservoir volume variations over all continents from 1984 to 2015 using remote sensing alone. This study improves on previous methodologies by using the Global Surface Water dataset developed by the Joint Research Centre, which allowed for volume calculations on a global scale, a high resolution (30 m) and back to 1984 using very detailed lake area dynamics. Using 18 in situ volume time series as validation, our volume estimates showed a high accuracy.
Andrew Ogilvie, Gilles Belaud, Sylvain Massuel, Mark Mulligan, Patrick Le Goulven, and Roger Calvez
Hydrol. Earth Syst. Sci., 22, 4349–4380, https://doi.org/10.5194/hess-22-4349-2018, https://doi.org/10.5194/hess-22-4349-2018, 2018
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Accurate monitoring of surface water extent is essential for hydrological investigation of small lakes (1–10 ha), which supports millions of smallholder farmers. Landsat monitoring of long-term surface water dynamics is shown to be suited to lakes over 3 ha based on extensive hydrometric data from seven field sites over 15 years. MNDWI water classification optimized here for the specificities of small water bodies reduced mean surface area errors by 57 % compared to published global datasets.
Filippo Bandini, Daniel Olesen, Jakob Jakobsen, Cecile Marie Margaretha Kittel, Sheng Wang, Monica Garcia, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 22, 4165–4181, https://doi.org/10.5194/hess-22-4165-2018, https://doi.org/10.5194/hess-22-4165-2018, 2018
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Water depth observations are essential data to forecast flood hazard, predict sediment transport, or monitor in-stream habitats. We retrieved bathymetry with a sonar wired to a drone. This system can improve the speed and spatial scale at which water depth observations are retrieved. Observations can be retrieved also in unnavigable or inaccessible rivers. Water depth observations showed an accuracy of ca. 2.1 % of actual depth, without being affected by water turbidity or bed material.
Kiana Zolfaghari, Claude R. Duguay, and Homa Kheyrollah Pour
Hydrol. Earth Syst. Sci., 21, 377–391, https://doi.org/10.5194/hess-21-377-2017, https://doi.org/10.5194/hess-21-377-2017, 2017
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A remotely-sensed water clarity value (Kd) was applied to improve FLake model simulations of Lake Erie thermal structure using a time-invariant (constant) annual value as well as monthly values of Kd. The sensitivity of FLake model to Kd values was studied. It was shown that the model is very sensitive to variations in Kd when the value is less than 0.5 m-1.
Tomasz Niedzielski, Matylda Witek, and Waldemar Spallek
Hydrol. Earth Syst. Sci., 20, 3193–3205, https://doi.org/10.5194/hess-20-3193-2016, https://doi.org/10.5194/hess-20-3193-2016, 2016
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We study detectability of changes in water surface areas on orthophotomaps. We use unmanned aerial vehicles to acquire visible light photographs. We offer a new method for detecting changes in water surface areas and river stages. The approach is based on the application of the Student's t test, in asymptotic and bootstrapped versions. We test our approach on aerial photos taken during 3-year observational campaign. We detect transitions between all characteristic river stages using drone data.
E. Lalot, F. Curie, V. Wawrzyniak, F. Baratelli, S. Schomburgk, N. Flipo, H. Piegay, and F. Moatar
Hydrol. Earth Syst. Sci., 19, 4479–4492, https://doi.org/10.5194/hess-19-4479-2015, https://doi.org/10.5194/hess-19-4479-2015, 2015
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This work shows that satellite thermal infrared images (LANDSAT) can be used to locate and quantify groundwater discharge into a large river (Loire River, France - 100 to 300 m wide). Groundwater discharge rate is found to be highly variable with time and space and maximum during flow recession periods and in winter. The main identified groundwater discharge area into the Loire River corresponds to a known discharge area of the Beauce aquifer.
M. D. Wilson, M. Durand, H. C. Jung, and D. Alsdorf
Hydrol. Earth Syst. Sci., 19, 1943–1959, https://doi.org/10.5194/hess-19-1943-2015, https://doi.org/10.5194/hess-19-1943-2015, 2015
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We use a virtual mission analysis on a ca. 260km reach of the central Amazon River to assess the hydraulic implications of potential measurement errors in swath-altimetry imagery from the forthcoming Surface Water and Ocean Topography (SWOT) satellite mission. We estimated water surface slope from imagery of water heights and then derived channel discharge. Errors in estimated discharge were lowest when using longer reach lengths and channel cross-sectional averaging to estimate water slopes.
Z. F. Miller, T. M. Pavelsky, and G. H. Allen
Hydrol. Earth Syst. Sci., 18, 4883–4895, https://doi.org/10.5194/hess-18-4883-2014, https://doi.org/10.5194/hess-18-4883-2014, 2014
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Many previous studies have used stream gauge data to estimate patterns of river width and depth based on variations in river discharge. However, these relationships may not capture all of the actual variability in width and depth. We have instead mapped the widths of all of the rivers wider than 100 m (and many narrower) in the Mississippi Basin and then used them to also improve estimates of depth as well. Our results show width and depth variations not captured by power-law relationships.
A. Kääb, M. Lamare, and M. Abrams
Hydrol. Earth Syst. Sci., 17, 4671–4683, https://doi.org/10.5194/hess-17-4671-2013, https://doi.org/10.5194/hess-17-4671-2013, 2013
V. H. Phan, R. C. Lindenbergh, and M. Menenti
Hydrol. Earth Syst. Sci., 17, 4061–4077, https://doi.org/10.5194/hess-17-4061-2013, https://doi.org/10.5194/hess-17-4061-2013, 2013
N. M. Velpuri and G. B. Senay
Hydrol. Earth Syst. Sci., 16, 3561–3578, https://doi.org/10.5194/hess-16-3561-2012, https://doi.org/10.5194/hess-16-3561-2012, 2012
C. I. Michailovsky, S. McEnnis, P. A. M. Berry, R. Smith, and P. Bauer-Gottwein
Hydrol. Earth Syst. Sci., 16, 2181–2192, https://doi.org/10.5194/hess-16-2181-2012, https://doi.org/10.5194/hess-16-2181-2012, 2012
H. Hidayat, D. H. Hoekman, M. A. M. Vissers, and A. J. F. Hoitink
Hydrol. Earth Syst. Sci., 16, 1805–1816, https://doi.org/10.5194/hess-16-1805-2012, https://doi.org/10.5194/hess-16-1805-2012, 2012
M. Potes, M. J. Costa, and R. Salgado
Hydrol. Earth Syst. Sci., 16, 1623–1633, https://doi.org/10.5194/hess-16-1623-2012, https://doi.org/10.5194/hess-16-1623-2012, 2012
A. T. Assireu, E. Alcântara, E. M. L. M. Novo, F. Roland, F. S. Pacheco, J. L. Stech, and J. A. Lorenzzetti
Hydrol. Earth Syst. Sci., 15, 3689–3700, https://doi.org/10.5194/hess-15-3689-2011, https://doi.org/10.5194/hess-15-3689-2011, 2011
C. H. Grohmann, C. Riccomini, and M. A. C. Chamani
Hydrol. Earth Syst. Sci., 15, 1493–1504, https://doi.org/10.5194/hess-15-1493-2011, https://doi.org/10.5194/hess-15-1493-2011, 2011
C. C. Abon, C. P. C. David, and N. E. B. Pellejera
Hydrol. Earth Syst. Sci., 15, 1283–1289, https://doi.org/10.5194/hess-15-1283-2011, https://doi.org/10.5194/hess-15-1283-2011, 2011
S. Trevisani, M. Cavalli, and L. Marchi
Hydrol. Earth Syst. Sci., 14, 393–405, https://doi.org/10.5194/hess-14-393-2010, https://doi.org/10.5194/hess-14-393-2010, 2010
Cited articles
Alsdorf, D. E. and Lettenmaier, D. P.: Tracking fresh water from space, Science, 301, 1491–1494, 2003.
Bamber, J. L.: Ice sheet altimeter processing scheme, Int. J. Remote Sens., 15, 925–938, 1994.
Bao, L., Lu, Y., and Wang, Y.: Improved retracking algorithm for oceanic altimeter waveforms, Prog. Nat. Sci., 19, 195–203, 2009.
Benveniste, J. and Defrenne, D.: Radar Altimetry Processing for Inland Waters: Introduction and Background Review, Slides presented at Workshop on Hydrology from Space, 29 September–1 October 2003, Touluse, 2003.
Berry, P. A. M., Garlick, J. D., Freeman, J. A., and Mathers, E. L.: Global inland water monitoring from multi-mission altimetry, Geophys. Res. Lett., 32, L16401, https://doi.org/10.1029/2005GL022814, 2005.
Birkett, C. M.: Contribution of the TOPEX NASA radar altimeter to the global monitoring of large rivers and wetlands, Water Resour. Res., 34, 1223–1239, 1998.
Birkett, C. M., Mertes, L. A. K., Dunne, T., Costa, M. H., and Jasinski, M. J.: Surface water dynamics in the Amazon Basin: application of satellite radar altimetry, J. Geophys. Res., 107, 8059, https://doi.org/10.1029/2001JD000609, 2002.
Birkinshaw, S. J., O'Donnell, G. M., Moore, P., Kilsby, C. G., Fowler, H. J., and Berry, P. A. M.: Using satellite altimetry data to augment flow estimation techniques on the Mekong River, Hydrol. Process., 24, 3811–3825, https://doi.org/10.1002/hyp.7811, 2010.
Brown, G. S.: The average impulse response of a rough surface and its applications, IEEE T. Antennas Propag., 25, 67–74, https://doi.org/10.1109/TAP.1977.1141536, 1977.
Brown, O. B. and Cheney, R. E.: Advances in satellite oceanography, Rev. Geophys., 21, 1216–1230, 1983.
Cai, X. and Ji, W.: Wetland hydrologic application of satellite altimetry – A ase study in the Poyang Lake watershed, Prog. Nat. Sci., 19, 1781–1787, https://doi.org/10.1016/j.pnsc.2009.07.004, 2009.
Calmant, S. and Seyler, F.: Continental surface waters from satellite altimetry, internal geophysics (space physics), C. R. Geoscience, 338, 1113–1122, 2006.
Coe, M. T. and Birkett, C. M.: Calculation of river discharge and prediction of lake height from satellite radar altimetry: Example for the Lake Chad basin, Water Resour. Res., 40, W10205, https://doi.org/10.1029/2003WR002543, 2004.
Cretaux, J.-F., Jelinski, W., Calmant, S., Kouraev, A., Vuglinski, V., Berge-Nguyen, M., Gennero, M.-C., Nino, F., Abarca Del Rio, R., Cazenave, A., and Maisongrande, P.: SOLS: A lake database to monitor in the near real time water level and storage variations from remote sensing data, Adv. Space Res., 47, 1497-1507, 2011.
Cristescu, M. E., Adamowicz, S. J., Vaillant, J. J., and Haffner, D. G.: Ancient lakes revisited: from the ecology to the genetics of speciation, Mol. Ecol., 19, 4837–4851, https://doi.org/10.1111/j.1365-294X.2010.04832.x, 2010.
Dabo-Niang, S., Ferraty, F., and Vieu, P.: On the using of modal curves for radar waveforms classification, Comput. Stat. Data Anal., 51, 4878–4890, 2007.
Davis, C. H.: A robust threshold retracking algorithm for measuring ice-sheet surface elevation change from satellite radar altimeters, IEEE T. Geosci. Remote, 35, 974–979, 1997.
Deng, X. and Featherstone, W. E.: A coastal retracking system for satellite radar altimeter waveforms: Application to ERS-2 around Australia, J. Geophys. Res., 111, C06012, https://doi.org/10.1029/2005JC003039, 2006.
De Sa, J. P. M.: Applied Statistics using SPSS, Statistica, MATLAB and R, Springer-Verlag, Berlin, Heidelberg, 2007.
ESA – European Space Agency: Envisat RA2/MWR Product Handbook, European Space Agency, 27 February 2007.
ESA – European Space Agency: Envisat RA-2/MWR Level 2 User Manual, Envisat Altimetry Quality Working Group, Ver. 1.4, 8 September 2011.
Estiaty, L. M., Susilowati, Y., Harsono, E., and Tjiptasamara, T.: Pemodelan Spasial Fluks Polutan pada Sistem Daerah Aliran Sungai dan Angkutan Polutan pada Sistem Sungai, Studi Kasus: DAS Mahakam, Pusat Penelitian Geoteknologi, Lembaga Ilmu Pengetahuan Indonesia, Bandung, Indonesia, 2007.
Fenoglio-Marc, L., Fehlau, M., Ferri, L., Becker, M., Gao, Y., and Vignudelli, S.: Coastal sea surface heights from improved altimeter data in the Mediterranean Sea, Proceedings GGEO2008, IAG Symposia, Springer Verlag, Boston, MA, 2009.
Frappart, F., Do Minh, K., L'Hermitte, J., Cazenave, A., Ramillien, G., Le Toan, T., and Mognard-Campbell, N.: Water volume change in the lower Mekong from satellite altimetry and imagery data, Geophys. J. Int., 167, 570–584, 2006.
Guo, J., Chang, X., Gao, Y., Sun, J., and Hwang, C.: Lake Level Variations Monitored With Satellite Altimetry Waveform Retracking, IEEE J. Select. Top. Appl. Earth Obs. Rem. S., 2, 80–86, https://doi.org/10.1109/JSTARS.2009.2021673, 2009.
Hehanussa, P. E. and Haryani, G. S.: Morfologi cekungan dan profil suhu Danau Matano dan Danau Poso, Limnotek, 6, 13–23, 1999.
Herdendorf, C. E.: Large Lakes of the World, J. Great Lakes Res., 8, 379–412, 1982.
Hwang, C., Guo, J. Y., Deng, X. L., Hsu, H. Y., and Liu, Y. T.: Coastal gravity anomalies from retracked Geosat/GM altimetry: improvement, limitation and the role of airborne gravity data, J. Geodyn., 80, 204–216, 2006.
Kenney, J. F. and Keeping, E. S.: Mathematics of statistics, in: Mathematics of Statistics, Van Nostrand, http://books.google.com/books?id=UdlLAAAAMAAJ (last access: January 2015), 1947,
Koblinsky, C. J., Clarke, R. T., Brenner, C. A., and Frey, H.: Measurement of river water levels with satellite altimetry, Water Resour. Res., 29, 1839–1848, 1993.
Kouraev, A. V., Zakharova, E. A., Samain, O., Mognard, N. M., and Cazenave, A.: Ob' river discharge from TOPEX/Poseidon satellite altimetry (1992–2002), Remote Sens. Environ., 93, 238–245, 2004.
Kuo, C.-Y. and Kao, H.-C.: Retracked Jason-2 altimetry over small water bodies: case study of Bajhang River, Taiwan, Mar. Geodyn., 34, 382–392, 2011.
Laxon, S.: Sea ice altimeter processing scheme at the EODC, Int. J. Remote Sens., 15, 915–924, https://doi.org/10.1080/01431169408954124, 1994.
Lee, H.: Radar altimetry methods for solid earth geodynamics studies, PhD thesis, School of Earth Sciences, The Ohio State University, Columbus, Ohio, 2008.
Legresy, B. and Remy, F.: Altimetric observations of surface characteristics of the Antarctic ice sheet, J. Glaciol., 43, 265–275, 1997.
Li, Y.: Root Mean Square Error, in: Encyclopedia of Research Design, edited by: Salkind, N. J., SAGE Publications Inc., Thousand Oaks, CA, 1288–1289, 2010.
McKinnon, K., Hatta, G., Halim, H., and Mangalik, A.: The Ecology of Kalimantan: Indonesian Borneo, The Ecology of Indonesia Series, Vol. 3, Periplus, Singapore, 1996.
Medina, C. E., Gomez-Enri, J., Alonso, J. J., and Villares, P.: Water level fluctuations derived from ENVISAT Radar Altimeter (RA-2) and in-situ measurements in a subtropical waterbody: Lake Izabal (Guatemala), Remote Sens. Environ., 112, 3604–3617, https://doi.org/10.1016/j.rse.2008.05.001, 2008.
Meybeck, M., Friedrich, G., Thomas, R., and Chapman, D. (Eds.): Rivers, in: Water Quality Assessments – a Guide to Use of Biota, Sediments and Water in Environmental Monitoring, 2nd Edn., UNESCO/WHO/UNEP. 1992, Taylor and Francis, London, New York, 1996.
Michailovsky, C. I., McEnnis, S., Berry, P. A. M., Smith, R., and Bauer-Gottwein, P.: River monitoring from satellite radar altimetry in the Zambezi River basin, Hydrol. Earth Syst. Sci., 16, 2181–2192, https://doi.org/10.5194/hess-16-2181-2012, 2012.
Morris, C. S. and Gill, S. K.: Evaluation of the TOPEX/POSEIDON altimeter system over the Great Lakes, J. Geophys. Res., 99, 24527–24539, 1994.
Munyaneza, O., Wali, U. G., Uhlenbrook, S., and Maskey, S., and McArd, J. M.: Water level monitoring using radar remote sensing data: Application to Lake Kivu, central Africa, Phys. Chem. Earth P. A/B/C, 34, 722–728, https://doi.org/10.1016/j.pce.2009.06.008, 2009.
Nagler, J.: Root Mean Square, in: The SAGE Encyclopedia of Social Science Research Methods, edited by: Lewis-Beck, M. S., Bryman, A., and Liao, T. F., SAGE Publications, Inc., Thousand Oaks, CA, 978–979, https://doi.org/10.4135/9781412950589.n871, 2004.
Panik, M. J.: Statistical Inference: a Short Course, John Wiley & Sons, Hoboken, 2012.
Rees, G.: Physical Principles of Remote Sensing, Cambridge University Press, Cambridge, England, 1990.
Russel, J. and Bijaksana, S.: The Towuti Drilling Project: paleoenvironments, biological evolution, and geomicrobiology of a tropical lake, Scient. Drilling, 14, 68–71, https://doi.org/10.2204/iodp.sd.14.11.2012, 2012.
Sarmiento, S. E. and Khan, S. D.: Spatial-Temporal Variability of Great Slave Lake Levels From Satellite Altimetry, IEEE Geosci. Remote Sens. Lett., 7, 426–429, https://doi.org/10.1109/LGRS.2009.2038178, 2010.
Tang, Q., Gao, H., Lu, H., and Lettenmaier, D.: Remote sensing: hydrology, Prog. Phys. Geogr., 33, 490–509, 2009.
Torrance, K. E. and Sparrow, E. M.: Theory for Off-Specular Reflection From Roughened Surfaces J. Opt. Soc. Am., 57, 1105–1112, https://doi.org/10.1364/JOSA.57.001105, 1967.
Troitskaya, Y. I., Rybushkina, G. V., Soustova, I. A., Balandina, G. N., Lebedev, S. A., Kostyanoi, A. G., Panyutin, A. A., and Filina, L. V.: Satellite altimetry of inland water bodies, Water Resour., 39, 184–199, https://doi.org/10.1134/S009780781202008X, 2012.
Tseng, K.-H.: Satellite Altimetry and Radiometry for Inland Hydrology, Coastal Sea-Level and Environmental Studies, School of Earth Sciences, The Ohio State University, Columbus, Ohio, 2012.
Tseng, K.-H., Shum, C. K., Yi, Y., Fok, H. S., Kuo, C.-Y., Lee, H., Cheng, X., and Wang, X.: Envisat Altimetry Radar Waveform Retracking of Quasi-Specular Echoes over the Ice-Covered Qinghai Lake, Terr. Atmos. Ocean. Sci., 24, 615–627, https://doi.org/10.3319/TAO.2012.12.03.01(TibXS), 2013.
Vaillant, J. J., Haffner, G. D., and Cristescu, M. E.: The Ancient Lakes of Indonesia: towards Integrated Research on Speciation, Integr. Comp. Biol., 51, 634–643, 2011.
Wingham, D. J. and Rapley, C. G.: Saturation effects in the Seasat altimeter receiver, Int. J. Remote Sens., 8, 1163–1173, 1987.
Wingham, D. J., Rapley, C. G., and Griffiths, H. G.: New techniques in satellite altimeter tracking systems, III IGARRS 1986 Symposium, Zurich, Proceedings, Noordwijk, ESTEC, Scientific and Technical Publications Branch, ESA SP-254, 1339–1344, 1986.
Zhang, J., Xu, K., Yang, Y., Qi, L., Hayashi, S. and Watanabe, M.: Measuring Water Storage Fluctuations in Lake Dongting, China, by Topex/Poseidon Satellite Altimetry, Environ. Monitor. Assess., 115, 23–37, https://doi.org/10.1007/s10661-006-5233-9, 2006.
Zwally, H. J.: The GSFC Retracking Algorithms, NASA Goddard Space Flight Center, Cryospheric Sciences Laboratory, http://icesat4.gsfc.nasa.gov/radar_data/data_processing/gsfcretrackdoc.960725.php (last access: January 2015), 1996.
Short summary
This paper investigates the possibility of monitoring small water bodies through Envisat altimetry observation. A novel approach is introduced to identify qualified and non-qualified altimetry measurements by assessing the waveform shapes for each returned radar signal. This research indicates that small lakes (extent < 100 km2) and medium-sized rivers (e.g., 200--800 m in width) can be successfully monitored by satellite altimetry.
This paper investigates the possibility of monitoring small water bodies through Envisat...
