

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
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
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.
Related content








By Waldner François Lambert Marie-Julie Li Wenjuan Weiss Marie Demarez Valérie Morin David Marais-Sicre Claire Hagolle Olivier Baret Frédéric Defourny Pierre
Remote Sensing, Vol. 7, Iss. 8, 2015-08 ,pp. :


By Behling Robert Roessner Sigrid Segl Karl Kleinschmit Birgit Kaufmann Hermann
Remote Sensing, Vol. 6, Iss. 3, 2014-03 ,pp. :