Application of SAR data for oil palm tree discrimination

9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Kee, Y.W.^1 ; Shariff, A.R.M.^1 ; Sood, A.M.^2 ; Nordin, L.^3

Department of Biological and Agricultural Engineering, Faculty of Engineering, University Putra Malaysia, UPM Serdang, Selangor

43400, Malaysia^1

Department of Forest Management, Faculty of Forestry, University Putra Malaysia, UPM Serdang, Selangor

43400, Malaysia^2

Geoprecision Tech Sdn. Bhd., Lot 2-4 Innovation House, Technology Park Malaysia, Leboh Raya Puchong - Sg Besi, Bukit Jalil, Kuala Lumpur

57000, Malaysia^3

关键词: Backscatter coefficients;    Color classification;    Field parameters;    Oil palm tree;    Open sources;    Roughness of surface;    SAR data processing;    Weed species;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/169/1/012065/pdf
DOI  :  10.1088/1755-1315/169/1/012065

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Oil palm tree discrimination is an important step for tree counting. In order for proper planning and management of the plantation, it is important to identify and classify oil palm tree species distinctively from other tree species and weeds. As oil palm trees are green leafy plants, it is difficult to differentiate between oil palm trees and weeds through color classification alone. Tree height can be determined through proper photogrammetric method. However, it is time consuming. SAR data processing is becoming a promising technology in the field of geospatial. Backscatter coefficient value is influenced by the roughness of surface, type of target and moisture content of target. The aim of this research is to utilize L-band ALOS PALSAR-2 dataset and open source C-band Sentinel-1 SAR datasets to discriminate oil palm trees from weeds as there is significant height difference between them. This research determines the backscatter coefficient value range of oil palm trees and weeds, it investigates the suitability of utilizing C-band and L-band SAR data on oil palm tree discrimination. Several existing oil palm field parameters are tested based on the backscatter value of SAR image. The results and discussion of backscatter value ranges between oil palm tree species and weed species will be further discussed in the paper.