S
Saurabh Channan
Researcher at University of Maryland, College Park
Publications - 34
Citations - 2465
Saurabh Channan is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Land cover & Satellite imagery. The author has an hindex of 15, co-authored 30 publications receiving 2051 citations.
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Journal ArticleDOI
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error
Joseph O. Sexton,Xiao-Peng Song,Min Feng,Praveen Noojipady,Anupam Anand,Chengquan Huang,Do-Hyung Kim,K. M. Collins,Saurabh Channan,C. Dimiceli,John R. Townshend +10 more
TL;DR: A global, 30-m resolution dataset of percent tree cover by rescaling the 250-m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) Tree Cover layer using circa- 2000 and 2005 Landsat images, incorporating the MODIS Cropland Layer to improve accuracy in agricultural areas.
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Global Characterization and Monitoring of Forest Cover Using Landsat Data: Opportunities and Challenges
John R. Townshend,Jeffrey G. Masek,Chengquan Huang,Eric Vermote,Feng Gao,Saurabh Channan,Joseph O. Sexton,Min Feng,Ramghuram Narasimhan,Do-Hyung Kim,Kuan Song,Dan-Xia Song,Xiao-Peng Song,Praveen Noojipady,Bin Tan,Matthew C. Hansen,Mengxue Li,Robert E. Wolfe +17 more
TL;DR: The methods to create global products of forest cover and cover change at Landsat resolutions are described and the creation and use of surface reflectance products, improved selection of scenes to reduce phenological differences, terrain illumination correction, and the use of information extraction procedures robust to errors in training data are evaluated.
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A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm
TL;DR: A global, 30-m-resolution inland surface water dataset with an automated algorithm using Landsat-based surface reflectance estimates, multispectral water and vegetation indices, terrain metrics, and prior coarse-resolution water masks is produced.
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Urban growth of the Washington, D.C.–Baltimore, MD metropolitan region from 1984 to 2010 by annual, Landsat-based estimates of impervious cover
Joseph O. Sexton,Xiao-Peng Song,Chengquan Huang,Saurabh Channan,Matthew E. Baker,John R. Townshend +5 more
TL;DR: In this paper, the authors developed an empirical method for retrieving annual, long-term continuous fields of impervious surface cover from the Landsat archive and applied it to the Washington, D.C.-Baltimore, MD megalopolis from 1984 to 2010.
Journal ArticleDOI
Characterizing the magnitude, timing and duration of urban growth from time series of Landsat-based estimates of impervious cover
TL;DR: In this article, a post-classification methodology was proposed to characterize the change in impervious surface cover (ISC) as a continuous field in space and time, and applied to a series of ISC maps of the Washington DC-Baltimore metropolitan region.