Canopy Cover Estimation in Lowland Forest in South Sumatera, Using LiDAR and Landsat 8 OLI imagery
| Autor: | Muhammad Buce Saleh, Rosima Wati Dewi, Lilik Budi Prasetyo, Nitya Ade Santi |
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| Jazyk: | English<br />Indonesian |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Jurnal Manajemen Hutan Tropika, Vol 27, Iss 1, Pp 50-58 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2087-0469 2089-2063 |
| DOI: | 10.7226/jtfm.27.1.50 |
| Popis: | Canopy cover is one of the most important variables in ecology, hydrology, and forest management, and useful as a basis for defining forests. LiDAR is an active remote sensing method that provides the height information of an object in three-dimensional space. The method allows for the mapping of terrain, canopy height and cover. Its only setback is that it has to be integrated with Landsat to cover a large area. The main objective of this study is to generate the canopy cover estimation model using Landsat 8 OLI and LiDAR. Landsat 8 OLI vegetation indices and LiDAR-derived canopy cover estimation, through First Return Canopy Index (FRCI) method, were used to obtain a regression model. The performance of this model was then assessed using correlation, aggregate deviation, and raster display. Lastly, the best canopy cover estimation was obtained using equation, FRCI = 2.22 + 5.63Ln(NDVI), with R2 at 0.663, standard deviation at 0.161, correlation between actual and predicted value at 0.663, aggregate deviation at -0.182 and error at 56.10%. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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