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Representative lake water extent mapping at continental scales using multi-temporal Landsat-8 imagery

Author:
Sheng, Yongwei, Song, Chunqiao, Wang, Jida, Lyons, Evan A., Knox, Benjamin R., Cox, Joshua S., Gao, Feng
Source:
Remote Sensing of Environment 2016
ISSN:
0034-4257
Subject:
Landsat, algorithms, cartography, case studies, data analysis, hydrologic cycle, image analysis, lakes, remote sensing, temporal variation, Pacific Ocean Islands
Abstract:
Inland lakes, important water resources, play a crucial role in the global water cycle and are sensitive to climate change and human activities. There clearly is a pressing need to understand temporal and spatial variations of lakes at global and continental scales. The recent operation of Landsat 8 extends the unprecedented Landsat record to over 40 years, allowing long-term, large-scale lake dynamicsmapping at high resolutions. Using our circa-2000 lake product derived from Landsat 7 images as a reference, this research produces a circa-2015 map of representative lake extents and distributions, and addresses seasonal and inter-annual lake area variability using Landsat 8 images acquired in lake stable seasons at a continental scale. Oceania is chosen here as a case study as it contains a large group of salt lakes that exhibit high area variability and has the most intensive image coverage during the first 2.5-year operation of Landsat 8. Accordingly, this paper describes an adaptive algorithm to automate lake mapping for various surface conditions using images acquired during lake stable seasons and a compositing scheme in the vector domain to generate a representative continental mosaic of lake extents from multi-temporal mapping. Our results demonstrate that these strategies and methods produce a highly reliable and representative composite of highly-variable lake extents across Oceania, and are potentially applicable to other large-scale lake mapping projects using multi-temporal data.
Agid:
61853
Handle:
10113/61853