Modeling stand volume of rubber (Hevea Brasiliensis) plantations in Malaysia using landsat TM / Mohd Nazip Suratman ... [et al.]

Suratman, Mohd Nazip and Bull, Gary and Leckie, Don and LeMay, Valerie and Marshall, Peter (2004) Modeling stand volume of rubber (Hevea Brasiliensis) plantations in Malaysia using landsat TM / Mohd Nazip Suratman ... [et al.]. Science Letters, 1 (1). pp. 65-71. ISSN 1675-7785

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Abstract

Effective management and appropriate policy for rubber trees (Hevea brasiliensis (Wild, ex Adr. de Juss.) Muell Arg.) require reliable forecasts of resource availability. This study was conducted to develop and validate models for estimating stand volume of rubber plantations in Malaysia. A total of 76 rubber stands were sampled and split into two independent groups: model-building and validation data sets. Regression analyses were used to explore relationships between rubber stand volume and Landsat TM bands and ratio-based indices. Statistically significant models for estimating stand volume were obtained. Coefficients of determination (R ) for the models were all higher than 0.70 and standard error of estimate (SEE) values were lower than 54 m3/ha. Thus, Landsat TM provides an acceptable data source for estimating stand volume of rubber plantations in Malaysia.

Metadata

Item Type: Article
Creators:
Creators
Email
Suratman, Mohd Nazip
nazip@salam.uitm.edu.my
Bull, Gary
UNSPECIFIED
Leckie, Don
UNSPECIFIED
LeMay, Valerie
UNSPECIFIED
Marshall, Peter
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
S Agriculture > SB Plant culture > Field crops > Gum and resin plants > Rubber plants > Malaysia
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Journal or Publication Title: Science Letters
UiTM Journal Collections: UiTM Journal > Science Letters (ScL)
ISSN: 1675-7785
Volume: 1
Number: 1
Page Range: pp. 65-71
Item ID: 11810
Uncontrolled Keywords: Landsat TM, modeling, rubber plantations, rubberwood, volume estimation
URI: https://ir.uitm.edu.my/id/eprint/11810

ID Number

11810

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