Spectrometry of pasture condition and biogeochemistry in the Central Amazon

Gregory P. Asner; Alan R. Townsend; Mercedes M.C. Bustamante

doi:10.1029/1999GL900546

Spectrometry of pasture condition and biogeochemistry in the Central Amazon

Gregory P. Asner, Alan R. Townsend, Mercedes M.C. Bustamante

W. A. Franke College of Forestry and Conservation

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

Regional analyses of Amazon cattle pasture biogeochemistry are difficult due to the complexity of human, edaphic, biotic and climatic factors and persistent cloud cover in satellite observations. We developed a method to estimate key biophysical properties of Amazon pastures using hyperspectral reflectance data and photon transport inverse modeling. Remote estimates of live and senescent biomass were strongly correlated with plant-available forms of soil phosphorus and calcium. These results provide a basis for monitoring pasture condition and biogeochemistry in the Amazon Basin using spaceborne hyperspectral sensors.

Original language	English
Pages (from-to)	2769-2772
Number of pages	4
Journal	Geophysical Research Letters
Volume	26
Issue number	17
DOIs	https://doi.org/10.1029/1999GL900546
State	Published - 1999

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title = "Spectrometry of pasture condition and biogeochemistry in the Central Amazon",

abstract = "Regional analyses of Amazon cattle pasture biogeochemistry are difficult due to the complexity of human, edaphic, biotic and climatic factors and persistent cloud cover in satellite observations. We developed a method to estimate key biophysical properties of Amazon pastures using hyperspectral reflectance data and photon transport inverse modeling. Remote estimates of live and senescent biomass were strongly correlated with plant-available forms of soil phosphorus and calcium. These results provide a basis for monitoring pasture condition and biogeochemistry in the Amazon Basin using spaceborne hyperspectral sensors.",

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AU - Townsend, Alan R.

AU - Bustamante, Mercedes M.C.

PY - 1999

Y1 - 1999

N2 - Regional analyses of Amazon cattle pasture biogeochemistry are difficult due to the complexity of human, edaphic, biotic and climatic factors and persistent cloud cover in satellite observations. We developed a method to estimate key biophysical properties of Amazon pastures using hyperspectral reflectance data and photon transport inverse modeling. Remote estimates of live and senescent biomass were strongly correlated with plant-available forms of soil phosphorus and calcium. These results provide a basis for monitoring pasture condition and biogeochemistry in the Amazon Basin using spaceborne hyperspectral sensors.

AB - Regional analyses of Amazon cattle pasture biogeochemistry are difficult due to the complexity of human, edaphic, biotic and climatic factors and persistent cloud cover in satellite observations. We developed a method to estimate key biophysical properties of Amazon pastures using hyperspectral reflectance data and photon transport inverse modeling. Remote estimates of live and senescent biomass were strongly correlated with plant-available forms of soil phosphorus and calcium. These results provide a basis for monitoring pasture condition and biogeochemistry in the Amazon Basin using spaceborne hyperspectral sensors.

UR - https://www.scopus.com/pages/publications/0033387177

U2 - 10.1029/1999GL900546

DO - 10.1029/1999GL900546

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JO - Geophysical Research Letters

JF - Geophysical Research Letters

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ER -

Spectrometry of pasture condition and biogeochemistry in the Central Amazon

Abstract

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