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Application of Remote Sensing to Assess the Biophysical Characteristics of Palm Oil Trees for Ecological Study

Authors
  • Sheriza, Mohd Razali1
  • Nurul, Musa Fatin1
  • Ainuddin, Nuruddin Ahmad1
  • 1 Universiti Putra Malaysia, Serdang, Selangor , (Malaysia)
Type
Published Article
Journal
Journal of Landscape Ecology
Publisher
De Gruyter Open Sp. z o.o.
Publication Date
Dec 01, 2020
Volume
13
Issue
3
Pages
63–78
Identifiers
DOI: 10.2478/jlecol-2020-0017
Source
De Gruyter
Keywords
License
Green

Abstract

Oil palms are an important crop for Malaysia as the main crop cultivated from agricultural lands for economic purposes. The livelihood of small growers is, in fact, very dependent on that industry. The present study employs the application of remote sensing of higher resolution to assess the biophysical characteristics of oil palms stands for a plantation in Lenggeng, Negeri Sembilan, Malay Peninsula. Band combination with the use of natural, red, blue bands and red-edge spectrum was employed to obtain early information on the oil palm stands at the site. We subsequently employed fish eye camera to collect information on leaf area index at the field. The study also measured the height and diameter at breast height of all plots established in the site. Finally, correlation was performed to establish the relationships between height-to-leaf area index relations. Diameter at breast height measuring points was scattered at the upper part of the line that formed negative relationships (R2 = -0.0313). Height was positively associated with leaf area index, a bit weaker (R2 = 0.2323). Interpolation found plots at varying elevation level. Maximum height of the trees was recorded at the highest elevation in the site, presumably due to the higher solar radiation that enhances photosynthesis. Our study demonstrates the usefulness of the finding for implementation elsewhere in assessing the biophysical characteristics of oil palm trees. The study leads to further understanding of oil palms, specifically the biophysical characteristics associated with plant productivity assessment.

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