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

Remote Sensing
By: , and 

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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.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data
Series title Remote Sensing
DOI 10.3390/rs2020526
Volume 2
Issue 2
Year Published 2010
Language English
Publisher MDPI
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 19 p.
First page 526
Last page 544