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

  • Yongwei Sheng
  • , Chunqiao Song
  • , Jida Wang
  • , Evan A. Lyons
  • , Benjamin R. Knox
  • , Joshua S. Cox
  • , Feng Gao

Research output: Contribution to journal › Article › peer-review

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 dynamics mapping 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.

Original languageEnglish (US)
Pages (from-to)129-141
Number of pages13
JournalRemote Sensing of Environment
Volume185
DOIs
StatePublished - Nov 1 2016
Externally publishedYes

Keywords

  • Adaptive mapping
  • Inter-annual variation
  • Salt lakes
  • Seasonal variability
  • Water body identification

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

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