Satellite remote sensing of large lakes and reservoirs: from elevation and area to storage

被引:81
|
作者
Gao, Huilin [1 ]
机构
[1] Texas A&M Univ, Dept Civil Engn, College Stn, TX 77843 USA
来源
关键词
WATER-LEVEL CHANGES; SURFACE-WATER; ARAL SEA; ALTIMETRY; TOPEX/POSEIDON; MANAGEMENT; FLUCTUATIONS; VARIABILITY; INVENTORY; ABUNDANCE;
D O I
10.1002/wat2.1065
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The majority of liquid surface freshwater globally is stored in large lakes and reservoirs. However, consistent observations of lakes and reservoirs are very limited, which makes it challenging to assess the surface water effect on global weather forecasting, earth system modeling, water management planning, and ecosystem sustainability. The advance of satellite remote sensing has offered a unique opportunity for monitoring large lakes and reservoirs from space. This article provides a comprehensive review of the satellite remote sensing approaches for estimating lake/reservoir elevations, areas, and storage variations. These include: (1) measuring surface water elevations using radar and laser altimeters; (2) estimating lake/reservoir areas using threshold-based and image classification-based approaches at visible and/or near infrared frequencies; and (3) combining elevation and area information to infer storage and storage variations. Different algorithms (as well as satellite sensors) applicable for these purposes are compared in terms of their advantages and limitations. Future direction and opportunities for more comprehensive data products with improved spatial and temporal resolutions are discussed. (C) 2015 Wiley Periodicals, Inc.
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页码:147 / 157
页数:11
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