Assessment of phenologic variability in Amazon tropical rainforests using hyperspectral hyperion and MODIS satellite data

Alfredo R. Huete, Youngwook Kim, Piyachat Ratana, Kamel Didan, Yosio E. Shimabukuro, Tomoaki Miura

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Scopus citations

Abstract

Phenology represents the seasonal timing and annual repetition of biologic life cycle events and is a characteristic property of ecosystem functioning and predictor of ecosystem processes. Shifts in phenology depict a canopy’s integrated response to environmental change and influence local biogeochemical processes, including nutrient dynamics, photosynthesis, water cycling, soil moisture depletion, and canopy physiology [1]. An understanding of vegetation phenology is prerequisite to interannual studies and predictive modeling of land surface responses to climate change [2-4].

Original languageEnglish (US)
Title of host publicationHyperspectral Remote Sensing of Tropical and Sub-Tropical Forests
PublisherCRC Press
Pages233-259
Number of pages27
ISBN (Electronic)9781420053432
ISBN (Print)9781420053418
Publication statusPublished - Jan 1 2008

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ASJC Scopus subject areas

  • Engineering(all)
  • Earth and Planetary Sciences(all)
  • Agricultural and Biological Sciences(all)
  • Environmental Science(all)

Cite this

Huete, A. R., Kim, Y., Ratana, P., Didan, K., Shimabukuro, Y. E., & Miura, T. (2008). Assessment of phenologic variability in Amazon tropical rainforests using hyperspectral hyperion and MODIS satellite data. In Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests (pp. 233-259). CRC Press.