Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data

Yingxin Gu, Jesslyn F. Brown, Tomoaki Miura, Willem van Leeuwen, Bradley C. Reed

Research output: Contribution to journalArticle

27 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)526-544
Number of pages19
JournalRemote Sensing
Volume2
Issue number2
DOIs
StatePublished - Feb 2010

Fingerprint

NDVI
MODIS
time series
sensor
AVHRR
digital elevation model
land cover
climate
comparison

Keywords

  • Geographic framework
  • MODIS NDVI
  • Pheno-class
  • Phenological classification
  • Phenology
  • Remote sensing

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Phenological classification of the United States : A geographic framework for extending multi-sensor time-series data. / Gu, Yingxin; Brown, Jesslyn F.; Miura, Tomoaki; van Leeuwen, Willem; Reed, Bradley C.

In: Remote Sensing, Vol. 2, No. 2, 02.2010, p. 526-544.

Research output: Contribution to journalArticle

Gu, Yingxin ; Brown, Jesslyn F. ; Miura, Tomoaki ; van Leeuwen, Willem ; Reed, Bradley C. / Phenological classification of the United States : A geographic framework for extending multi-sensor time-series data. In: Remote Sensing. 2010 ; Vol. 2, No. 2. pp. 526-544.
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