Water level dynamics of Amazon wetlands at the watershed scale by satellite altimetry

Silva, J. S. da; Seyler, Frédérique; Calmant, Stéphane; Rotunno, O.; Roux, Emmanuel; Araújo, Afonso Augusto Magalhães de; Guyot, Jean‐Loup

doi:10.1080/01431161.2010.531914

Cited by 57 publications

(28 citation statements)

References 55 publications

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“…Known regionally as ''repiquetes", such week scale reversals in the seasonal trend of stage change, occur regularly during both falling and rising annual stages. They have been described on the main stem of the Amazon (Petry, 2000;Rios Arevalo, 2005;Da Silva et al, 2012) and are evident from annual daily stage records for both the Marañón and Ucayali rivers that combine near Nauta, Peru, to form the Amazon (see Senamhi, 2012;Armijos et al, 2013: Fig. 3).…”

Section: Introductionmentioning

confidence: 97%

Amazon river flow regime and flood recessional agriculture: Flood stage reversals and risk of annual crop loss

Coomes

Lapointe

Templeton

et al. 2016

Journal of Hydrology

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Section: Introductionmentioning

confidence: 97%

Amazon river flow regime and flood recessional agriculture: Flood stage reversals and risk of annual crop loss

Coomes

Lapointe

Templeton

et al. 2016

Journal of Hydrology

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“…If land falls within the satellite footprint and if this land is at an higher elevation than the water surface, the distance to the satellite might be shorter even though it is off-nadir. Conversely, if for some reason a water surface also situated off-nadir sends a stronger return signal than the water at nadir, the retracker can register this return as the "good" signal and compute a range that is longer than the water surface at nadir, a situation common in LRM satellite altimetry known as "hooking" (Da Silva et al, 2012). This can occur for instance in a lake or river with the presence of small waves.…”

Section: Lake Specific Retracker (Lake1)mentioning

confidence: 99%

“…But since only the first three are available for both satellite, we only used these. There are no retracker available for land, rivers or lakes and most authors use one of the ice retrackers (Zhang et al, 2010;Da Silva et al, 2012;Zheng et al, 2016). As we observed frequent problems with the available retrackers, we build one specifically for lakes of calm water (very large lakes tend to have waves similar to oceans).…”

Section: Water Level Determinationsmentioning

confidence: 99%

“…Satellite altimetry was originally developed mostly for the study of ocean topography and phenomena like "El Niño" and "La Ninã" but is being increasingly used for applications in coastal and inland waters (Da Silva et al, 2012). Numerous studies have been published in recent years to demonstrate the application of satellite altimetry for measuring water levels in rivers, lakes and reservoirs.…”

Section: Introductionmentioning

confidence: 99%

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An Original Processing Method of Satellite Altimetry for Estimating Water Levels and Volume Fluctuations in a Series of Small Lakes of the Pantanal Wetland Complex in Brazil

Costa¹,

Pereira²,

Maillard³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Satellite altimetry is becoming a major tool for measuring water levels in rivers and lakes offering accuracies compatible with many hydrological applications, especially in uninhabited regions of difficult access. The Pantanal is considered the largest tropical wetland in the world and the sparsity of in situ gauging station make remote methods of water level measurements an attractive alternative. This article describes how satellites altimetry data from Envisat and Saral was used to determine water level in two small lakes in the Pantanal. By combining the water level with the water surface area extracted from satellite imagery, water volume fluctuations were also estimated for a few periods. The available algorithms (retrackers) that compute a range solution from the raw waveforms do not always produce reliable measurements in small lakes. This is because the return signal gets often "contaminated" by the surrounding land. To try to solve this, we created a "lake" retracker that rejects waveforms that cannot be attributed to "calm water" and convert them to altitude. Elevation data are stored in a database along with the water surface area to compute the volume fluctuations. Satellite water level time series were also produced and compared with the only nearby in situ gauging station. Although the "lake" retracker worked well with calm water, the presence of waves and other factors was such that the standard "ice1" retracker performed better on the overall. We estimate our water level accuracy to be around 75 cm. Although the return time of both satellites is only 35 days, the next few years promise to bring new altimetry satellite missions that will significantly increase this frequency.

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“…Multispectral remote sensing data have been successfully used in the past to monitor and map lakes [14][15][16][17] and to monitor coastline changes [18][19][20][21][22][23]. Lake levels can be measured directly by radar altimetry [24][25][26][27] or indirectly by combining topographic data and water-land boundaries [16,[28][29][30][31][32][33]. Indirect reconstruction of lake volumes or levels has been accomplished using aerial photos [33] and medium-resolution data [16,28].…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series

Heine

Stüve

Kleinschmit

et al. 2015

Water

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Groundwater-fed lakes in northeastern Germany are characterized by significant lake level changes, but for only a few lakes are in situ water level measurements available. In this study, we test the potential of RapidEye satellite images for indirectly reconstructing lake level changes. The lake levels are derived by intersecting water-land borders with a high-resolution digital elevation model (DEM). Based on Lake Fürstenseer (LF), we define requirements and limitations of the method. Water-land borders were extracted automatically from the 37 RapidEye images available for the period between 2009 and 2014. Otsu's threshold was used for the NIR band and for the normalized difference water index (NDWI). The results were validated with in situ gauging, contour lines from the DEM, and in situ Differential Global Positioning System (DGPS) measurements of the shoreline. Using an ideal shoreline subset, the lake levels could be reconstructed with decimeter accuracy using the NIR water-land border, but the levels were systematically underestimated by 0-20 cm. The accuracy of the reconstructed lake level retrieval strongly depends on the precision of the water-land border retrieval, on the accuracy of the DEM, and on the lake level itself. A clear shift of the water-land border with increasing lake level is also essential for the unambiguous reconstruction of different levels. This shift needs to be several times larger than the pixel size. The biggest challenges OPEN ACCESSWater 2015, 7 4176 for lake level reconstruction are the presence of vegetation at the shorelines, the quality of the topographic data in the underwater area, the slope of the shoreline, and shadows in combination with low solar angles.

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Water level dynamics of Amazon wetlands at the watershed scale by satellite altimetry

Cited by 57 publications

References 55 publications

Amazon river flow regime and flood recessional agriculture: Flood stage reversals and risk of annual crop loss

Amazon river flow regime and flood recessional agriculture: Flood stage reversals and risk of annual crop loss

An Original Processing Method of Satellite Altimetry for Estimating Water Levels and Volume Fluctuations in a Series of Small Lakes of the Pantanal Wetland Complex in Brazil

Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series

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