Publikasi

@article{Saleh2021,

title = {Canopy cover estimation in lowland forest in South Sumatera, using LiDAR and landsat 8 OLI imagery},

author = {Muhammad Buce Saleh and Rosima Wati Dewi and Lilik Budi Prasetyo and Nitya Ade Santi},

doi = {10.7226/JTFM.27.1.50},

issn = {20892063},

year  = {2021},

date = {2021-01-01},

journal = {Jurnal Manajemen Hutan Tropika},

volume = {27},

number = {1},

pages = {50–58},

abstract = {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},

keywords = {canopy cover, Landsat 8 OLI, LiDAR, Vegetation indices},

pubstate = {published},

tppubtype = {article}

}