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

Yingxin Gu·Jesslyn F. Brown·Tomoaki Miura·Willem van Leeuwen·Bradley C. Reed
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Abstract

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.

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Yingxin Gu, Jesslyn F. Brown, Tomoaki Miura, Willem van Leeuwen, Bradley C. Reed. 2010-02-11. Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data. https://doi.org/10.3390/rs2020526

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