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DOI	10.1016/j.rse.2020.112065
	High-resolution mapping of floodplain topography from space: A case study in the Amazon
	Fassoni-Andrade A.C.; Paiva R.C.D.D.; Rudorff C.D.M.; Barbosa C.C.F.; Novo E.M.L.D.M.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Terrain elevation is essential for land management, navigation, and earth science applications. Remote sensing advancements have led to an increase in the availability of a range of digital elevation models with global to quasi-global land coverage. However, the generation of these models in water bodies requires specialized approaches, such as the delimitation of the shorelines (isobaths) of lakes over time. Therefore, the processing costs are high in complex areas with many lakes. Currently, there is no systematic topographic mapping of lakes and channels in large and complex floodplains using remote sensing data. We present here the first high-resolution topographic mapping (30 m) of the non-forested portion of the middle-lower Amazon floodplain using a new method based on in-situ Amazon river water levels and a flood-frequency map derived from the Landsat Global Surface Water Dataset. Validation using locally derived bathymetry showed a root mean square error (RMSE) of 0.89 m for floodplain elevation and a good representation of spatial patterns with Pearson's correlation coefficient of 0.77. Our approach for improving topographic representation in open water areas is an alternative to SRTM3 DEM or MERIT DEM, which represents these areas as a flat surface. We also generated the Amazon River bathymetry using nautical charts from the Brazilian Navy (average RMSE of 7.5 m and bias of 5 m), and floodplain depths maps corresponding to the high- and low-water periods of the river flood wave. The results show that the storage volume in the open-water floodplain varies 104.3 km3 on average each year (from 11.9 km3 in low-water to 116.2 km3 in high-water). The method can be applied to any temporarily flooded area to provide the often missing underwater digital topographic data required for hydrological, ecological, and geomorphological studies. The data set developed in this study can be found at https://doi.org/10.17632/vn599y9szb.1. © 2020 Elsevier Inc.
英文关键词	Altimetry; Amazon; Digital elevation model; Flood frequency; Floodplain; Geomorphology changes; Global surface water; Google earth engine; ICESat; Lakes; Landsat; MERIT; SRTM; Storage volume; Topography; Water level
语种	英语
scopus关键词	Banks (bodies of water); Bathymetry; Correlation methods; Digital storage; Lakes; Mapping; Maps; Mean square error; Remote sensing; Rivers; Space optics; Surveying; Topography; Water levels; Digital elevation model; Geomorphological studies; High-resolution mapping; Pearson's correlation coefficients; Remote sensing data; Root mean square errors; Science applications; Topographic representation; Floods; bathymetry; digital elevation model; floodplain; lacustrine environment; Landsat; open water; remote sensing; river channel; topographic mapping; Amazon River
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179126
作者单位	Institute of Hydraulic Research, Federal University of Rio Grande do Sul (UFRGS), Caixa Postal 15029, Av. Bento Gonçalves, 9500, Porto Alegre, RS CEP 91501-970, Brazil; Institut de Recherche pour le Développement (IRD), Universidade de Brasília (UnB), Brasília, Brazil; National Center for Monitoring and Early Warning of Natural Disasters, São José dos Campos, São Paulo, Brazil; Image Processing Division, National Institute for Space Research (INPE), São José dos Campos, SP, Brazil; Remote Sensing Division, National Institute for Space Research (INPE), São José dos Campos, SP, Brazil
推荐引用方式 GB/T 7714	Fassoni-Andrade A.C.,Paiva R.C.D.D.,Rudorff C.D.M.,et al. High-resolution mapping of floodplain topography from space: A case study in the Amazon[J],2020,251.
APA	Fassoni-Andrade A.C.,Paiva R.C.D.D.,Rudorff C.D.M.,Barbosa C.C.F.,&Novo E.M.L.D.M..(2020).High-resolution mapping of floodplain topography from space: A case study in the Amazon.Remote Sensing of Environment,251.
MLA	Fassoni-Andrade A.C.,et al."High-resolution mapping of floodplain topography from space: A case study in the Amazon".Remote Sensing of Environment 251(2020).