<abstract xmlns="http://www.w3.org/1999/xhtml">

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.
</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.

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

Institute of Tropical Forestry and Forest Products (INTROP),

Journal of Landscape Ecology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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...

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

Data publikacji: 28 gru 2020

Zakres stron: 63 - 78

Otrzymano: 15 lip 2020

Przyjęty: 05 paź 2020

DOI: https://doi.org/10.2478/jlecol-2020-0017

Słowa kluczowe
Oil palm, income generation, vegetation indices

© 2020 Mohd Razali Sheriza et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Data publikacji: 28 gru 2020

Zakres stron: 63 - 78

Otrzymano: 15 lip 2020

Przyjęty: 05 paź 2020

DOI: https://doi.org/10.2478/jlecol-2020-0017

Słowa kluczoweOil palm, income generation, vegetation indices

© 2020 Mohd Razali Sheriza et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Oil palm, income generation, vegetation indices