S N Anua and Wong, Wilson Vun Chiong (2022) Utilizing Landsat 8 OLI for land cover classification in plantations area. In: 14th Seminar on Science and Technology 2021 (S&T 2021) (Virtual Conference), 8 - 9 September 2021, Virtually.
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Abstract
Identifying the land cover in plantations is crucial to assist the management of an area. Today, land cover classification can be achieved using free satellite data. The objective of this study is to perform a supervised classification using LANDSAT 8 OLI to differentiate the land cover in Brumas Camp which consists of non-vegetation, oil palm, forest, and forest plantations. The overall accuracy and Kappa’s coefficients were 71.64% and 0.62, respectively. We found out that the accuracy of classification for non-vegetation is relatively higher compared to vegetation land cover types. The non-vegetation land cover has distinct spectral reflectance which is useful to differentiate between non-vegetation and vegetation land covers.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keyword: | Natural forest , Plantations , Supervised classification , Landsat 8 OLI |
| Subjects: | S Agriculture > SD Forestry > SD1-669.5 Forestry > SD131-247.5 History of forestry. Forest conditions |
| Department: | FACULTY > Faculty of Tropical Forestry |
| Depositing User: | SAFRUDIN BIN DARUN - |
| Date Deposited: | 12 Oct 2022 10:25 |
| Last Modified: | 12 Oct 2022 10:45 |
| URI: | https://eprints.ums.edu.my/id/eprint/34417 |
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