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

نویسندگان

  • Yingxin Gu
  • Jesslyn F. Brown
  • Tomoaki Miura
  • Willem J. D. van Leeuwen
  • Bradley C. Reed
چکیده

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 phenoclasses, 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. OPEN ACCESS Remote Sens. 2010, 2 527

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عنوان ژورنال:
  • Remote Sensing

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2010