Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data
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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.
| 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 |
| Google Analytic Metrics | Metrics page |