Publikasi Penelitian

The Potential of Remote Sensing for Assessment of Land Susceptibility to Degradation: A Case Study in Tapan Micro Catchment


Abstrak (Indonesia):
-
Abstract (English) :
Assessment of land susceptibility is essensitial for watershed management planning. For a regional planning, characterization of land does not only collects biophysical data but also provides spatial information. In this regards, data derived from remote sensing is well recognized to provide spatially distributed and time series data. The study is attended to explore potential of open source remotely sensed data to assess land suseptibility to degradation. A case study was carried out in Tapan micro catchment, Karanganyar District, Central Java Province. The possible parameters data derived from remote sensing are slope, rock outcrop, morphoerosion, land cover, and soil conservation practices. The slope was derived from DEM (Digital Elevation Model) of ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) imagery, and the other remotely sensed data were obtained from Google Earth using certain capture method. The parameters were classified and scored for each land unit to obtain its susceptibility level of degradation. The result shows that the catchment is dominated by forest area (51%) with steep slope (25 to 45%). Total accuracy for slope and land cover classification are 79.5% and 70.3%, respectively. In general, soil conservation techniques, such as bench terraces can be recognized from Google Earth, however detail information have to be identified on the ground. The rock outcrop and morphoerosion of the study area are less than 10 %. Based on the measurements, the catchment area is categorized as slightly sucesstible to degradation. The utility of open sources imageries which provide good accuracy is an alternative to renew information of land cover which is dynamic.
Media Publikasi :
PROCEEDINGS OF THE 2nd INAFOR 2013
Penulis :
Tyas Mutiara Basuki, Dr., Ir., M.Sc., Nining Wahyuningrum, Ir., M.Sc.
Ukuran Berkas :
1.7 MB

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