Abstract
Accurate and reliable near-real time information is needed for a sustainable oil palm plantation management, especially on plant quality and health. Airborne remote sensing provides the effective recent agricultural crop information for the oil palm plantation industry planning, management and sustainable development. A study on the characteristic of a matured oil palm plantation in UPM campus was conducted using airborne hyperspectral remote sensing technique. Airborne hyperspectral remote sensing can be used as an effective tool in monitoring the characteristic of oil palm plantation in order to predict and manage the oil palm production. The general objective of this study is to assess the capability and usefulness of UPM-APSB’s AISA airborne hyperspectral sensor to determine the characteristic of a matured oil palm plantation for its sustainable development while the specific objective is to identify, classify and produce the thematic map of matured oil palm plantation in the study site. The age of the oil palm plantation used in this study is 27 years old. Sobel filtering was used to enhance the image. Spectral Angle Mapper (SAM) analysis was then used to classify the characteristic of the plantation within the study area. A thematic map of 27 years old matured oil palm plantation was produced and the characteristic of the oil palm plantation in the study site was identified as 173 healthy, 7 dead, 9 stressed oil palm trees and open areas in the plantation with a mapping accuracy of 93.33%. This has shown that UPM-APSB’s AISA airborne hyperspectral sensor is capable of mapping a matured oil palm plantation with such characteristics for its sustainable management and future development.
Highlights
In Asia, the main oil palm producing countries are Malaysia; the Malaysian oil palm industry recorded an impressive performance in 2006
The entire digital image capturing process was taken by the Aeroscan Precision (M) Sendirian Berhad (APSB) which is located at the Forest Geospatial Information and Survey Lab, Lebuh Silikon, Universiti Putra Malaysia (UPM)
A thematic map of a matured oil palm plantation was developed from airborne hyperspectral imaging system to further plan for its sustainable management and palm oil production
Summary
In Asia, the main oil palm producing countries are Malaysia; the Malaysian oil palm industry recorded an impressive performance in 2006. The total exports of oil palm products were 20.13 million tonnes in 2006 This scenario trigger the export earnings of oil palm products rose to a record RM 31.8 billion in 2006. Due to the importance of oil palm to the country, accurate and reliable information is needed for oil palm plantation management, especially on plant quality, phenology, health and yield prediction. In the context of Malaysia, lack of data, cost effective and timely processing of information for oil palm management planning are major constraints, which hold up decision-making. Remote sensing was identified as effective recent agricultural crop information for the global oil palm plantation industry planning (http://www.gisdevelopment.net/aars/acrs/2000/ps3/ps302.asp)
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