Oil palm phenological monitoring using landsat TM image

Ibrahim S. and Zainal A. H. and Mariamni K. (2003) Oil palm phenological monitoring using landsat TM image. [Proceedings Paper]

The aim of this paper is to investigate the relationship between Landsat Thematic Mapper (TM) relative radiance and oil palm phenological information with special emphasis on planting age from 1 to 22 years. The variables considered are the six Landsat TM bands (1,2,3, visible), 4 (near infrared) and (5 & 7, middle infrared), derived indices Shadow Canopy Index (SD), Bare Soil Index (BIO), Normalised Vegetation index (NDVI) and Advanced Vegetation Index (AVI). The relative radiance recorded by Landsat TM bands for oil palm were negatively correlated with phenological status. Middle Infrared wavebands (MIR) band 7 and 5 of Landsat TM image showed high correlation (> 0. 7 4) and more discriminating power (Lambda Wilk's coefficient) to discriminate the oil palm phenology classes. However, the visible and Near Infrared bands displayed insignificant correlation (<-0.05). 6 types of oil palm phenological classes were successful mapped using SI index: The classes are (1). One year old after planting, (2). 2 years old after planting, (3). 3 years old after planting, (4). 4 to 8 years after planting, (5). 9 to 18 years old after planting and (6). More than 18 years old after planting. It is concluded that satellite remote sensing imagery was able to produce reasonably accurate oil palm phenological information at estate level.

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Abstract

The aim of this paper is to investigate the relationship between Landsat Thematic Mapper (TM) relative radiance and oil palm phenological information with special emphasis on planting age from 1 to 22 years. The variables considered are the six Landsat TM bands (1,2,3, visible), 4 (near infrared) and (5 & 7, middle infrared), derived indices Shadow Canopy Index (SD), Bare Soil Index (BIO), Normalised Vegetation index (NDVI) and Advanced Vegetation Index (AVI). The relative radiance recorded by Landsat TM bands for oil palm were negatively correlated with phenological status. Middle Infrared wavebands (MIR) band 7 and 5 of Landsat TM image showed high correlation (> 0. 7 4) and more discriminating power (Lambda Wilk's coefficient) to discriminate the oil palm phenology classes. However, the visible and Near Infrared bands displayed insignificant correlation (<-0.05). 6 types of oil palm phenological classes were successful mapped using SI index: The classes are (1). One year old after planting, (2). 2 years old after planting, (3). 3 years old after planting, (4). 4 to 8 years after planting, (5). 9 to 18 years old after planting and (6). More than 18 years old after planting. It is concluded that satellite remote sensing imagery was able to produce reasonably accurate oil palm phenological information at estate level.

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Item Type:	Proceedings Paper
Additional Information:	Available at Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. TP684 P3I61 2003 Call Number
AGROVOC Term:	oil palm > oil palm Prefer using Elaeis guineensisElaeis guineensis
AGROVOC Term:	remote sensing
AGROVOC Term:	plant growth
AGROVOC Term:	sampling
AGROVOC Term:	image analysis
AGROVOC Term:	satellite observation
AGROVOC Term:	researchers > researchers Prefer using scientistsscientists
AGROVOC Term:	growth stages > growth stages Prefer using developmental stagesdevelopmental stages
Geographical Term:	Malaysia
Depositing User:	Nor Hasnita Abdul Samat
Date Deposited:	04 Aug 2024 09:58
Last Modified:	04 Aug 2024 09:58
URI:	http://webagris.upm.edu.my/id/eprint/887

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