4.7 Article

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

期刊

REMOTE SENSING
卷 2, 期 2, 页码 526-544

出版社

MDPI
DOI: 10.3390/rs2020526

关键词

phenology; remote sensing; MODIS NDVI; geographic framework; phenological classification; pheno-class

资金

  1. USGS [08HQCN0007]
  2. USGS Geographic Analysis and Monitoring Program
  3. NASA [MEaSUREs NNX08AT05A]
  4. EOS [NNG04GL88G]

向作者/读者索取更多资源

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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