Monitoring rainforest dynamics in the Amazon with MODIS land products

Alfredo R. Huete; Steve Running; Ranga Myneni

doi:10.1109/IGARSS.2006.72

Monitoring rainforest dynamics in the Amazon with MODIS land products

Alfredo R. Huete, Steve Running, Ranga Myneni

W. A. Franke College of Forestry and Conservation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The metabolism and phenology of Amazon rainforests significantly influence global dynamics of climate, carbon and water, but remain poorly understood. In this study we utilized Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial ecosystem variables to analyze Amazon rainforest dynamics utilizing the satellite products; vegetation indices (VI), leaf area index (LAI), fraction of absorbed photosynthetically-active radiation (FPAR), and gross primary production (GPP). We found the MODIS products to greatly facilitate analyses and monitoring of ecosystem metabolism in both intact and disturbed rainforests.

Original language	English
Title of host publication	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages	263-265
Number of pages	3
DOIs	https://doi.org/10.1109/IGARSS.2006.72
State	Published - 2006
Event	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States Duration: Jul 31 2006 → Aug 4 2006

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Country/Territory	United States
City	Denver, CO
Period	07/31/06 → 08/4/06

Keywords

Amazon ecosystems
Gross primary production
LAI/FPAR
MODIS
Vegetation indices

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IGARSS.2006.72

Cite this

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title = "Monitoring rainforest dynamics in the Amazon with MODIS land products",

abstract = "The metabolism and phenology of Amazon rainforests significantly influence global dynamics of climate, carbon and water, but remain poorly understood. In this study we utilized Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial ecosystem variables to analyze Amazon rainforest dynamics utilizing the satellite products; vegetation indices (VI), leaf area index (LAI), fraction of absorbed photosynthetically-active radiation (FPAR), and gross primary production (GPP). We found the MODIS products to greatly facilitate analyses and monitoring of ecosystem metabolism in both intact and disturbed rainforests.",

keywords = "Amazon ecosystems, Gross primary production, LAI/FPAR, MODIS, Vegetation indices",

author = "Huete, {Alfredo R.} and Steve Running and Ranga Myneni",

year = "2006",

doi = "10.1109/IGARSS.2006.72",

language = "English",

isbn = "0780395107",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "263--265",

booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",

note = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 31-07-2006 Through 04-08-2006",

}

Huete, AR, Running, S & Myneni, R 2006, Monitoring rainforest dynamics in the Amazon with MODIS land products. in 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS., 4241219, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 263-265, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, United States, 07/31/06. https://doi.org/10.1109/IGARSS.2006.72

Monitoring rainforest dynamics in the Amazon with MODIS land products. / Huete, Alfredo R.; Running, Steve; Myneni, Ranga.
2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006. p. 263-265 4241219 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Monitoring rainforest dynamics in the Amazon with MODIS land products

AU - Huete, Alfredo R.

AU - Running, Steve

AU - Myneni, Ranga

PY - 2006

Y1 - 2006

N2 - The metabolism and phenology of Amazon rainforests significantly influence global dynamics of climate, carbon and water, but remain poorly understood. In this study we utilized Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial ecosystem variables to analyze Amazon rainforest dynamics utilizing the satellite products; vegetation indices (VI), leaf area index (LAI), fraction of absorbed photosynthetically-active radiation (FPAR), and gross primary production (GPP). We found the MODIS products to greatly facilitate analyses and monitoring of ecosystem metabolism in both intact and disturbed rainforests.

AB - The metabolism and phenology of Amazon rainforests significantly influence global dynamics of climate, carbon and water, but remain poorly understood. In this study we utilized Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial ecosystem variables to analyze Amazon rainforest dynamics utilizing the satellite products; vegetation indices (VI), leaf area index (LAI), fraction of absorbed photosynthetically-active radiation (FPAR), and gross primary production (GPP). We found the MODIS products to greatly facilitate analyses and monitoring of ecosystem metabolism in both intact and disturbed rainforests.

KW - Amazon ecosystems

KW - Gross primary production

KW - LAI/FPAR

KW - MODIS

KW - Vegetation indices

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U2 - 10.1109/IGARSS.2006.72

DO - 10.1109/IGARSS.2006.72

M3 - Conference contribution

AN - SCOPUS:34948847551

SN - 0780395107

SN - 9780780395107

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 263

EP - 265

BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

Y2 - 31 July 2006 through 4 August 2006

ER -

Monitoring rainforest dynamics in the Amazon with MODIS land products

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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