Table of Contents
Remote Sens., Volume 10, Issue 1 (January 2018)
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Cover Story (view full-size image) Advances in computing power and the increased availability of high-resolution remote sensing data [...] Read more. Advances in computing power and the increased availability of high-resolution remote sensing data products have made it possible to map lake surface area at the global scale and monitor changes over time. However, because lake surface area changes seasonally, we must use images acquired from a consistent season in order to isolate long-term changes. At the global scale, this means identifying the hydrological season independently at each location. The LakeTime algorithm uses global hydrological data and a simple water balance model to identify a consistent, ideal lake mapping time for each Landsat tile (Cover Image). When combined with the Landsat archive, we are able to provide nearly complete, seasonally consistent, global coverage for circa 2000 Landsat Enhanced Thematic Mapper Plus (ETM+) and circa 2014 Landsat Operational Land Imager (OLI) imagery. View this paper