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

Huete, AR; Kim, Y; Ratana, P; Didan, K; Shimabukuro, YE; Miura, T

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

Huete, AR

Kim, Y Ratana, P

Didan, K Shimabukuro, YE Miura, T

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Publication Type:: Chapter
Citation:: Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests, 2008, pp. 233 - 259
Issue Date:: 2008-01-01

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Field	Value	Language
dc.contributor.author	Huete, AR https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.author	Kim, Y	en_US
dc.contributor.author	Ratana, P https://orcid.org/0000-0002-1853-2860	en_US
dc.contributor.author	Didan, K	en_US
dc.contributor.author	Shimabukuro, YE	en_US
dc.contributor.author	Miura, T	en_US
dc.date.issued	2008-01-01	en_US
dc.identifier.citation	Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests, 2008, pp. 233 - 259	en_US
dc.identifier.isbn	9781420053418	en_US
dc.identifier.uri	http://hdl.handle.net/10453/14293
dc.description.abstract	© 2008 by Taylor & Francis Group, LLC. 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].	en_US
dc.relation.ispartof	Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests	en_US
dc.title	Assessment of phenologic variability in Amazon tropical rainforests using hyperspectral hyperion and MODIS satellite data	en_US
dc.type	Chapter
utslib.for	090905 Photogrammetry and Remote Sensing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2008 by Taylor & Francis Group, LLC. 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].

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http://hdl.handle.net/10453/14293