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Xiao-Peng Song

Researcher at Texas Tech University

Publications -  60
Citations -  4366

Xiao-Peng Song is an academic researcher from Texas Tech University. The author has contributed to research in topics: Land cover & Land use. The author has an hindex of 20, co-authored 49 publications receiving 2671 citations. Previous affiliations of Xiao-Peng Song include University of Maryland, College Park.

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Journal ArticleDOI

Global land change from 1982 to 2016.

TL;DR: Satellite data for the period 1982–2016 reveal changes in land use and land cover at global and regional scales that reflect patterns of land change indicative of a human-dominated Earth system.
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Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

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

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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Urban growth of the Washington, D.C.–Baltimore, MD metropolitan region from 1984 to 2010 by annual, Landsat-based estimates of impervious cover

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.