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Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data

January 1, 2010

This study introduces a new geographic framework, phenological classification, for the conterminous United States based on Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time-series data and a digital elevation model. The resulting pheno-class map is comprised of 40 pheno-classes, each having unique phenological and topographic characteristics. Cross-comparison of the pheno-classes with the 2001 National Land Cover Database indicates that the new map contains additional phenological and climate information. The pheno-class framework may be a suitable basis for the development of an Advanced Very High Resolution Radiometer (AVHRR)-MODIS NDVI translation algorithm and for various biogeographic studies.

Citation Information

Publication Year 2010
Title Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data
DOI 10.3390/rs2020526
Authors Yingxin Gu, Jesslyn F. Brown, Tomoaki Miura, Willem J.D. van Leeuwen, Bradley C. Reed
Publication Type Article
Publication Subtype Journal Article
Series Title Remote Sensing
Series Number
Index ID 70188017
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center