2nd International Conference of Indonesian Society for Remote Sensing 2016 | |
The Utilization of Landsat 8 Multitemporal Imagery and Forest Canopy Density (FCD) Model for Forest Reclamation Priority of Natural Disaster Areas at Kelud Mountain, East Java | |
地球科学;计算机科学 | |
Himayah, S.^1 ; Hartono^2 ; Danoedoro, P.^3 | |
Remote Sensing, Geography Faculty, Gadjah Mada University, Yogyakarta | |
55281, Indonesia^1 | |
Cartography and Remote Sensing, Geography Faculty, Gadjah Mada University, Yogyakarta | |
55281, Indonesia^2 | |
PUSPICS, Yogyakarta | |
55281, Indonesia^3 | |
关键词: Biophysical conditions; Biophysical factors; Forest canopy densities; Forest reclamation; Multi-temporal imageries; Natural disasters; Priority levels; Temporal resolution; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/47/1/012043/pdf DOI : 10.1088/1755-1315/47/1/012043 |
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学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
Remote sensing has the advantage in terms of temporal resolution that can be used to examine changes of the forest canopy density as occurred in Kelud Mountain after the eruption of 2014. Canopy density changes then used as a consideration for forest reclamation priority. This study aims to assess the ability of Landsat 8 multitemporal imagery and Forest Canopy Density (FCD) modeling for canopy density changes at Kelud forest before and after the eruption, as well as take advantage of the canopy density changes from FCD and biophysical condition of forest to make a forest reclamation priority. This research using a Landsat 8 imagery (26 June 2013 and 4 September 2015). The method that used is FCD modeling to obtain canopy density. Forest reclamation priority is determined based on the canopy density change after the eruption and biophysical factors such as slope, soil fertility and native vegetation. Landsat 8 can used to determine the forest canopy density of Kelud before and after eruption with an accuracy of 83.73% and 81.14%. Kelud forest reclamation priorities are divided into nine classes based on priority level. The most prioritized class is 1a with an area of 865 ha and class 1b with an area of 2.085 ha. Then class 1c (0 ha), 1d (413 ha), and 1e that most dominate (5.454 ha). Beside that, there is class 2a (1.900 ha) and 2b (243 ha), and the last is class 3a (467 ha) and 3b (1.172 Ha).ntroduction.
【 预 览 】
Files | Size | Format | View |
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The Utilization of Landsat 8 Multitemporal Imagery and Forest Canopy Density (FCD) Model for Forest Reclamation Priority of Natural Disaster Areas at Kelud Mountain, East Java | 2269KB | download |