Poyang Hu (Jiangxi Province, P. R. of China) Area Variations between January 2004 and June 2006 Using ENVISAT Low and Medium Resolution Time Series

R. Andreoli, H. Yésou, Jiren Li, Y. Desnos, Shifeng Huang, P. Fraipont
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引用次数: 25

Abstract

Abstract Poyang Hu, one of the most regularly flooded areas in China, can be considered as a key hydrological element in flood control and reduction within the middle Changjiang basin. This area was selected as a major test site of the Flood DRAGON Project, part of the MOST-ESA DRAGON Programme. Over two and half years, water extent was monitored based on sixty-four ENVISAT low and medium resolution ASAR and MERIS FR images. It's the first time that such an amount of ENVISAT data was used in monitoring inland lake water extent variations. This original integration approach involves: lake surface variation analysis, yearly submersion time estimation, and a spatial recognition of three major hydrological sub-systems. The results highlight the great potential of ENVISAT, and more largely Earth Observation Medium Resolution data, for large inland water body monitoring and management. This approach can be applied worldwide in the context of global climate change.
基于ENVISAT低、中分辨率时间序列的2004年1月—2006年6月中国江西省鄱阳湖
鄱阳湖是中国洪涝最频繁的地区之一,是长江中游流域防洪减灾的关键水文要素。该地区被选为“洪水龙”项目的主要试验场,该项目是MOST-ESA“龙”计划的一部分。在两年半的时间里,根据64张ENVISAT低分辨率和中分辨率ASAR和MERIS FR图像监测了水域范围。这是第一次将如此大量的ENVISAT数据用于监测内陆湖水位变化。这种原始的整合方法包括:湖面变化分析、年淹没时间估算和三个主要水文子系统的空间识别。这些结果突出了ENVISAT的巨大潜力,更主要的是地球观测中分辨率数据,用于大型内陆水体监测和管理。在全球气候变化的背景下,这种方法可以在世界范围内应用。
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