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

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A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions. / Tan, Kian Pang; Kanniah, Kasturi Devi; Cracknell, Arthur Philip.

In: Progress in Physical Geography, Vol. 36, No. 5, 10.2012, p. 655-679.

Research output: Contribution to journalScientific review

Harvard

Tan, KP, Kanniah, KD & Cracknell, AP 2012, 'A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions' Progress in Physical Geography, vol 36, no. 5, pp. 655-679.

APA

Tan, K. P., Kanniah, K. D., & Cracknell, A. P. (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), 655-679doi: 10.1177/0309133312452187

Vancouver

Tan KP, Kanniah KD, Cracknell AP. A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions. Progress in Physical Geography. 2012 Oct;36(5):655-679.

Author

Tan, Kian Pang; Kanniah, Kasturi Devi; Cracknell, Arthur Philip / A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions.

In: Progress in Physical Geography, Vol. 36, No. 5, 10.2012, p. 655-679.

Research output: Contribution to journalScientific review

Bibtex - Download

@article{e93d6c4a3b034f4d9df3f7825c9fe451,
title = "A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions",
author = "Tan, {Kian Pang} and Kanniah, {Kasturi Devi} and Cracknell, {Arthur Philip}",
year = "2012",
volume = "36",
number = "5",
pages = "655--679",
journal = "Progress in Physical Geography",
issn = "0309-1333",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A review of remote sensing based productivity models and their suitability for studying oil palm productivity in tropical regions

A1 - Tan,Kian Pang

A1 - Kanniah,Kasturi Devi

A1 - Cracknell,Arthur Philip

AU - Tan,Kian Pang

AU - Kanniah,Kasturi Devi

AU - Cracknell,Arthur Philip

PY - 2012/10

Y1 - 2012/10

N2 - <p>Oil palm (Elaeis guineensis Jacq.) 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.</p>

AB - <p>Oil palm (Elaeis guineensis Jacq.) 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.</p>

U2 - 10.1177/0309133312452187

DO - 10.1177/0309133312452187

M1 - Scientific review

JO - Progress in Physical Geography

JF - Progress in Physical Geography

SN - 0309-1333

IS - 5

VL - 36

SP - 655

EP - 679

ER -

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