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A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions

Kian, Pang Tan and Kanniah, Kasturi Devi and Cracknell, Arthur Philip (2012) A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions. Progress in Physical Geography, 36 (5). pp. 655-679. ISSN 2158-2440

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Official URL: http://dx.doi.org/10.1177/0309133312452187

Abstract

Oil palm (Elaeis guineensisJacq.) cultivation has been expanding and has become one of the fastest developing agricultural crops in tropical regions. Therefore, it is critical to understand the carbon balance and dynamics within oil palm estates to determine its role in the global carbon cycle. Estimating oil palm productivity on a large scale is most feasible with remote sensing based models. Thus, the objective of this paper is to review existing remote sensing based models (i.e. CASA, GLO-PEM, VPM, C-Fix, TURC, EC-LUE, VI, TG, 3-PGS and MOD17) that use light use efficiency (LUE) logic, and subsequently to evaluate the suitability of these models for estimating oil palm productivity. This paper also highlights the limitation of current remote sensing based models for estimating oil palm productivity. From the review of existing literature, it is clear that the existing remote sensing based models need to be modified in terms of meteorological inputs, maximum LUE and environmental constraints in order to improve the estimation of oil palm productivity.

Item Type:Article
Uncontrolled Keywords:remote sensing, tropical regions
Subjects:G Geography. Anthropology. Recreation > G Geography (General) > G70.39-70.6 Remote sensing
Divisions:Geoinformation and Real Estate
ID Code:32841
Deposited By: Fazli Masari
Deposited On:16 Jul 2013 08:46
Last Modified:30 Nov 2018 14:31

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