Chengquan Huang

TL;DR: The National Land Cover Database (NLCD) as discussed by the authors is a multi-layer, multi-source database that provides consistent land cover for all 50 States, and provides a data framework which allows flexibility in developing and applying each independent data component to a wide variety of other applications.

TL;DR: An introduction to the theoretical development of the SVM and an experimental evaluation of its accuracy, stability and training speed in deriving land cover classifications from satellite images are given.

TL;DR: In this article, a highly automated algorithm called vegetation change tracker (VCT) has been developed for reconstructing recent forest disturbance history using Landsat time series stacks (LTSS).

TL;DR: In this article, a tasselled cap transformation based on Landsat 7 at-satellite reflectance was developed for regional applications where atmospheric correction is not feasible, and the brightness, greenness and wetness of the derived transformation collectively explained over 97% of the spectral variance of individual scenes used in the individual scenes.

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.