文章基本信息

标题：High-Resolution Surface Water Classifications of the Xingu River, Brazil, Pre and Post Operationalization of the Belo Monte Hydropower Complex
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作者：Margaret Kalacska ; Oliver Lucanus ; Leandro Sousa 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2020
卷号：5
期号：3
页码：75-86
DOI：10.3390/data5030075
出版社：MDPI Publishing
摘要：We describe a new high spatial resolution surface water classification dataset generated for the Xingu river, Brazil, from its confluence with the Iriri river to the Pimental dam prior to construction of the Belo Monte hydropower complex, and after its operationalization.This river is well-known for its exceptionally high diversity and endemism in ichthyofauna.Pre-existing datasets generated from moderate resolution satellite imagery (e.g., 30 m) do not adequately capture the extent of the river.Accurate measurements of water extent are important for a range of applications utilizing surface water data, including greenhouse gas emission estimation, land cover change mapping, and habitat loss/change estimates, among others.We generated the new classifications from RapidEye imagery (5 m pixel size) for 2011 and PlanteScope imagery (3 m pixel size) for 2019 using a Geographic Object Based Image Analysis (GEOBIA) approach.
关键词：Altamira; endemic; freshwater fish; land cover change; PlanetScope; RapidEye; reservoir; Worldview 1; Hypancistrus zebra; dam