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Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology

Remote Sensing · 2010 · Vol. 2(10) · pp. 2369–2387
Takeshi MotohkaKenlo Nishida NasaharaHiroyuki OgumaSatoshi Tsuchida

Abstract

We evaluated the use of the Green-Red Vegetation Index (GRVI) as a phenological indicator based on multiyear stand-level observations of spectral reflectance and phenology at several representative ecosystems in Japan. The results showed the relationships between GRVI values and the seasonal change of vegetation and ground surface with high temporal resolution. We found that GRVI has the following advantages as a phenological indicator: (1) “GRVI = 0” can be a site-independent single threshold fordetection of the early phase of leaf green-up and the middle phase of autumn coloring, and (2) GRVI can show a distinct response to subtle disturbance and the difference of ecosystem types.

Remote Sensing in AgricultureLand Use and Ecosystem ServicesSpecies Distribution and Climate ChangePhenologyVegetation IndexEnvironmental scienceVegetation (pathology)EcosystemRemote sensingEnhanced vegetation indexPhysical geographyLeaf area indexEcology

Funding

  • Ministry of Education, Culture, Sports, Science and Technology
  • National Natural Science Foundation of China
  • National Institute for Environmental Studies
  • National Institute for Agro-Environmental Sciences
  • Japan Society for the Promotion of Science
  • Japan Agency for Marine-Earth Science and Technology
  • Japan Aerospace Exploration Agency
Citations
560
FWCI
9.26
field-weighted impact
References
26
Percentile
98%
vs. same field & year
Citations per year
References
Red and photographic infrared linear combinations for monitoring vegetation
Remote Sensing of Environment · 1979 · 11,147 citations
Monitoring vegetation phenology using MODIS
Remote Sensing of Environment · 2003 · 2,490 citations
The ASTER spectral library version 2.0
Remote Sensing of Environment · 2009 · 1,656 citations
Shifting plant phenology in response to global change
Trends in Ecology & Evolution · 2007 · 2,279 citations
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Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology · Scinovex