Phenological Classification of the United States: A Geographic Framework for Extending Multi-Sensor Time-Series Data

Author: Gu Yingxin   Brown Jesslyn F.   Miura Tomoaki   van Leeuwen Willem J.D.   Reed Bradley C.  

Publisher: MDPI

E-ISSN: 2072-4292|2|2|526-544

ISSN: 2072-4292

Source: Remote Sensing, Vol.2, Iss.2, 2010-02, pp. : 526-544

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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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