Pinel S., Bonnet Marie-Paule, Da Silva J. S., Moreira D., Calmant Stéphane, Satgé Frédéric, Seyler Frédérique. (2015). Correction of interferometric and vegetation biases in the SRTMGL1 spaceborne DEM with hydrological conditioning towards improved hydrodynamics modeling in the Amazon Basin. Remote Sensing, 7 (12), 16108-16130. ISSN 2072-4292.
Titre du document
Correction of interferometric and vegetation biases in the SRTMGL1 spaceborne DEM with hydrological conditioning towards improved hydrodynamics modeling in the Amazon Basin
Année de publication
2015
Auteurs
Pinel S., Bonnet Marie-Paule, Da Silva J. S., Moreira D., Calmant Stéphane, Satgé Frédéric, Seyler Frédérique
Source
Remote Sensing, 2015,
7 (12), 16108-16130 ISSN 2072-4292
In the Amazon basin, the recently released SRTM Global 1 arc-second (SRTMGL1) remains the best topographic information for hydrological and hydrodynamic modeling purposes. However, its accuracy is hindered by errors, partly due to vegetation, leading to erroneous simulations. Previous efforts to remove the vegetation signal either did not account for its spatial variability or relied on a single assumed percentage of penetration of the SRTM signal. Here, we propose a systematic approach over an Amazonian floodplain to remove the vegetation signal, addressing its heterogeneity by combining estimates of vegetation height and a land cover map. We improve this approach by interpolating the first results with drainage network, field and altimetry data to obtain a hydrological conditioned DEM. The averaged interferometric and vegetation biases over the forest zone were found to be -2.0 m and 7.4 m, respectively. Comparing the original and corrected DEM, vertical validation against Ground Control Points shows a RMSE reduction of 64%. Flood extent accuracy, controlled against Landsat and JERS-1 images, stresses improvements in low and high water periods (+24% and +18%, respectively). This study also highlights that a ground truth drainage network, as a unique input during the interpolation, achieves reasonable results in terms of flood extent and hydrological characteristics.
Plan de classement
Hydrologie [062]
;
Etudes, transformation, conservation du milieu naturel [082]
;
Télédétection [126]
Description Géographique
BRESIL ; AMAZONIE
Localisation
Fonds IRD [F B010066088]
Identifiant IRD
fdi:010066088
