Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data
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.
Citation Information
| Publication Year | 2010 |
|---|---|
| Title | Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data |
| DOI | 10.3390/rs2020526 |
| Authors | Yingxin Gu, Jesslyn Brown, Tomoaki Miura, Willem van Leeuwen, Bradley Reed |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Remote Sensing |
| Index ID | 70188017 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Earth Resources Observation and Science (EROS) Center |