Measurement of pasture parameters from reflectance data

K. R. McCloy, R. Schoneveld, D. Kemp

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Considerable effort has been expended in developing methods of estimating physical pasture parameters such as biomass and leaf area index from remotely-sensed data. Most of this work has transformed the remotely-sensed data into a vegetation index that is used to estimate the parameters using an empirically derived regression equation. Two problems with this approach are that a vegetation index can only estimate one independent parameter and the occurrence of brown material in the canopy seriously impairs the quality of the regression equation. A different approach has been hypothesised and evaluated in this article. This approach assumes that a pasture canopy is primarily a mixture of green and brown canopy, and soil background elements. The method derives multiple independent parameters that can be used to develop regression equations to estimate multiple independent physical parameters. This article reviews the theoretical basis and experimental work done to evaluate this hypothesis using reflectance data for one summer growing pasture community in which the main species is Mitchell Grass (Astrebla lappacea). The article finds that the method produces significantly better estimates of a number of pasture parameters than does the vegetation index approach.

Original languageEnglish
Pages (from-to)1107-1118
Number of pages12
JournalInternational Journal of Remote Sensing
Volume14
Issue number6
DOIs
Publication statusPublished - 1993

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pasture
reflectance
vegetation index
canopy
Biomass
Soils
leaf area index
parameter
grass
biomass
summer
method
soil

Cite this

McCloy, K. R. ; Schoneveld, R. ; Kemp, D. / Measurement of pasture parameters from reflectance data. In: International Journal of Remote Sensing. 1993 ; Vol. 14, No. 6. pp. 1107-1118.
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Measurement of pasture parameters from reflectance data. / McCloy, K. R.; Schoneveld, R.; Kemp, D.

In: International Journal of Remote Sensing, Vol. 14, No. 6, 1993, p. 1107-1118.

Research output: Contribution to journalArticle

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