PEMODELAN SPASIAL LAHAN KRITIS BERBASIS RASTER DI DAS MERAWU KABUPATEN BANJARNEGARA MELALUI INTEGRASI CITRA LANDSAT 7 ETM+ DAN SISTEM INFORMASI GEOGRAFIS
| Main Authors: | , BAMBANG SULISTYO, , Prof. Dr. Totok Gunawan, MS |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2011
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/89364/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=51596 |
Daftar Isi:
- The objective of the research was to develop raster-based spatial modeling of degraded land in Merawu Catchment in Banjarnegara Regency by integrating Landsat 7 ETM+ data and GIS analysis. Methods applied was by analysing all factors affecting the degraded land digitally. Globally, degraded land is formulated as (Erosion + Slope + Canopy Cover + Management), while erosion itself is determined by using USLE model and is formulated as A = R x K x LS x C x P. Monthly R factor was evaluated based on the formula developed by Abdurachman. K factor was determined using the formula developed by Wischmeier and Smith. R and K factors were then analyzed using spatial interpolation technique to get data in raster format. Slope and LS factor were derived directly from DEM and by taking into consideration flow direction from each pixel. C factor and Percentage of Canopy were analyzed by applying regression analysis between various vegetation indices of Landsat 7 ETM+ and C Factor and Percentage of Canopy measured directly on the field. In this study 11 vegetation indices were used, i.e. ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI and PVI. P factor was derived using criteria developed by Abdurachman. Another analysis was the creation of a map of bulk density and landcover change analysis. After data were analyzed, then could be calculated erosion of USLE model, gross erosion, erosion of Honda model and model validation. Then, correlation analysis between erosion and various vegetation indices were done to know the possibility for vegetation indices used as the main predictor for the occurence of degraded land. The next step was to build the formula of degraded land such that there is no redundancy in its parameter. Then, creation of maps of degraded land can be done using input either from erosion model of USLE or from erosion model of Honda. The final results were then validated by using a threshold value of 0.8 or � 80%. The research results show that: 1). fully raster-based erosion model of USLE, using vegetation indices for determining C Factor, have high correlation with actual erosion ( r = 0.835), and their absolute accuracy were also high, that were MSAVI (= 87.35%), TVI (= 85.05%), SAVI (= 84.97%), TSAVI (= 84.88%), VIF (= 84.66%) and the smallest was NDVI (= 84.41%)