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