Application of Hyperspectral Airborne Data for Discriminating Tree Species in Tropical Peat Swamp Forest, Indonesia

Hyperspectral remote sensing imaging, like HyMAP, offers extremely precise spectrum data. Therefore, by using a spectral angle mapper (SAM) technique, HyMap was ideal for differentiating tree species in remote places like tropical peat swamp forests in Indonesia. The results showed tree species of B...

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Bibliographic Details
Main Authors: Gandharum, Laju, Sadmono, Heri, Sencaki, Dionysius Bryan, Eugenie, Azalea, Prayogi, Hari, Cahyaningtiyas, Ilvi Fauziyah
Format: Conference Proceeding
Language:English
Subjects:
Forestry
HyMAP
hyperspectral
Image color analysis
Imaging
peat swamp forest
SAM
Spectroradiometers
Transforms
tree species
Vegetation
Visualization
Online Access:Request full text
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Summary:Hyperspectral remote sensing imaging, like HyMAP, offers extremely precise spectrum data. Therefore, by using a spectral angle mapper (SAM) technique, HyMap was ideal for differentiating tree species in remote places like tropical peat swamp forests in Indonesia. The results showed tree species of Bangka, Gercinia, and Balau were mapped more dominantly than others. At a threshold of 0.2 radians, these three species, in that order, dominated 56.69%, 29.18%, and 4.44% of the study area. The percentage of unclassified pixels was decreased by 3.72% by raising the threshold (from 0.2 to 0.3 radians).
ISSN:2771-6600
DOI:10.1109/AGERS56232.2022.10093651