J.C.F. Hodges

TL;DR: This product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP, and a supervised classification methodology is used that exploits a global database of training sites interpreted from high-resolution imagery in association with ancillary data.

TL;DR: The System for Terrestrial Ecosystem Parameterization (STEP) as discussed by the authors is a model for characterizing site biophysical, vegetation and landscape parameters to be used for algorithm training and testing and validation.

TL;DR: An assessment of an annual time series of tasseled cap features indicated their utility for detecting vegetation phenological cycles, and the temporal pattern of NBAR greenness was closely correlated with the Enhanced Vegetation Index (EVI), while NBAR brightness matched MODIS global broadband albedos.

TL;DR: The IGBP Validation Confidence Site database as discussed by the authors provides a set of 379 land-cover maps, each containing an IGSP Core Validation sample, each map is 448 km 2 in area and is delineated and labeled by photointerpretation of Landsat or SPOT satellite imagery at a scale of 1:125,000.

TL;DR: In this article, the authors describe the compilation and assessment of a new map of North American land cover produced through the application of advanced pattern recognition techniques to multitemporal satellite data.