Multisensor Hydrologic Assessment of a Freshwater Wetland

Töyrä, Jessika; Pietroniro, Alain; Martz, Lawrence W.

doi:10.1016/s0034-4257(00)00164-4

Cited by 104 publications

(29 citation statements)

References 15 publications

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“…A smaller incidence angle shortens the path through canopy and reduces the canopy attenuation on the radar signal, allowing it to penetrate deeper [57]. Töyrä et al [58] showed similar results for radar backscattering from flooded willow, grasses and sedges in the Peace-Athabasca Delta, Canada.…”

Section: Surface Characteristics Of Modern Dtlbs (0-50 Years Since Drmentioning

confidence: 81%

Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data

et al. 2012

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Drained thermokarst lake basins accumulate significant amounts of soil organic carbon in the form of peat, which is of interest to understanding carbon cycling and climate change feedbacks associated with thermokarst in the Arctic. Remote sensing is a tool useful for understanding temporal and spatial dynamics of drained basins. In this study, we tested the application of high-resolution X-band Synthetic Aperture Radar (SAR) data of the German TerraSAR-X satellite from the 2009 growing season (July-September) for characterizing drained thermokarst lake basins of various age in the ice-rich permafrost region of the northern Seward Peninsula, Alaska. To enhance interpretation of patterns identified in X-band SAR for these basins, we also analyzed the Normalized Difference Vegetation Index (NDVI) calculated from a Landsat-5 Thematic Mapper image acquired on July 2009 and compared both X-band SAR and NDVI data with observations of basin age. We found significant logarithmic relationships between (a) TerraSAR-X backscatter and basin age from 0 to 10,000 years, (b) Landat-5 TM NDVI and basin age from 0 to 10,000 years, and (c) TerraSAR-X backscatter and basin age from 50 to 10,000 years. OPEN ACCESSRemote Sens. 2012, 4 3742NDVI was a better indicator of basin age over a period of 0-10,000 years. However, TerraSAR-X data performed much better for discriminating radiocarbon-dated basins (50-10,000 years old). No clear relationships were found for either backscatter or NDVI and basin age from 0 to 50 years. We attribute the decreasing trend of backscatter and NDVI with increasing basin age to post-drainage changes in the basin surface. Such changes include succession in vegetation, soils, hydrology, and renewed permafrost aggradation, ground ice accumulation and localized frost heave. Results of this study show the potential application of X-band SAR data in combination with NDVI data to map long-term succession dynamics of drained thermokarst lake basins.

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Section: Surface Characteristics Of Modern Dtlbs (0-50 Years Since Drmentioning

confidence: 81%

Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data

et al. 2012

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“…Several other remote sensing instruments had already been used in the literature for flood mapping ( [1,[24][25][26][27][28][29][30][31]). Some of them have much higher spatial resolution (Landsat imagery, ASAR on Envisat, Radarsat instrument) but none has a combination of the following advantages for flood monitoring: a continuity of homogeneous data over a long period of time, a global coverage of the Earth over a short recurrent period (daily/weekly), and a free service.…”

Section: Methodology To Detect Water Over the Ind With Modis And Valimentioning

confidence: 99%

Inundations in the Inner Niger Delta: Monitoring and Analysis Using MODIS and Global Precipitation Datasets

Bergé-Nguyen

Crétaux

2015

Remote Sensing

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A method of wetland mapping and flood survey based on satellite optical imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra instrument was used over the Inner Niger Delta (IND) from 2000-2013. It has allowed us to describe the phenomenon of inundations in the delta and to decompose the flooded areas in the IND into open water and mixture of water and dry land, and that aquatic vegetation is separated from bare soil and "dry" vegetation. An Empirical Orthogonal Function (EOF) analysis of the MODIS data and precipitation rates from a global gridded data set is carried out. Connections between flood sequence and precipitation patterns from the upstream part of the Niger and Bani river watersheds up to the IND are studied. We have shown that inter-annual variability of flood dominates over the IND and we have estimated that the surface extent of open water varies by a factor of four between dry and wet years. We finally observed an increase in vegetation over the 14 years of study and a slight decrease of open water.

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“…Spatial and temporal patterns of inundation areas can be inferred from multi-temporal satellite images : visible/infrared (IR) or SAR sensors are used to delineate floodplains (Mertes et al, 1995 ;Smith, 1997 ;Töyrä et al, 2001 ;Hess et al, 2004). In addition, the potential of satellite radar altimetry for monitoring water levels of large rivers has already been demonstrated (Birkett, 1998 ;Oliveira Campos et al, 2001 ;Maheu et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels

Frappart

Seyler

Martinez

et al. 2005

Remote Sensing of Environment

204

110

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. Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels. Remote Sensing of Environment, Elsevier, 2005, 99, pp.387-399 Abstract : The objective of this study is to determine spatio-temporal variations of water volume over inundated areas located in large river basins using combined observations from the Synthetic Aperture Radar (SAR) onboard the Japanese Earth Resources Satellite (JERS-1), the Topex/Poseidon (T/P) altimetry satellite, and in-situ hydrographic stations. Ultimately, the goal is to quantify the role of floodplains for partitioning water and sediment fluxes over the great fluvial basins of the world. SAR images are used to identify the type of surface (open water, inundated areas, forest) and, hence, the areas covered with water. Both radar altimetry data and in-situ hydrographic measurements yield water level time series. The basin of the Negro river, the tributary which carries the largest discharge to the Amazon river, was selected as a test site. By combining area estimates derived from radar images classification with changes in water level, variations of water volume (focusing on a seasonal cycle) have been obtained. The absence of relationship between water volume and inundated area, reflecting the diverse and widely dispersed floodplains of the basin, is one of the main result of this study.

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Multisensor Hydrologic Assessment of a Freshwater Wetland

Cited by 104 publications

References 15 publications

Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data

Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data

Inundations in the Inner Niger Delta: Monitoring and Analysis Using MODIS and Global Precipitation Datasets

Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels

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