Land use change analysis using spectral similarity and vegetation indices and its effect on runoff and sediment yield in tropical environment

International Conference on Environmental Resources Management in Global Region 2017

地球科学;生态环境科学

Christanto, N.^1 ; Sartohadi, J.^1 ; Setiawan, M.A.^1 ; Shrestha, D.B.P.^2 ; Jetten, V.G.^2

Department of Environmental Geography, Faculty of Geography, Universitas Gadjah Mada, Indonesia^1

Faculty of Geo-Information Science and Earth Observation (ITC), Twente University, Netherlands^2

关键词: Field measurement;    Land use change analysis;    Land-cover change;    Runoff and sediment yields;    Spectral characteristics;    Spectral similarity;    Surface reflectance;    Tropical environments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/148/1/012017/pdf
DOI  :  10.1088/1755-1315/148/1/012017

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Land use change influences the hydrological as well as landscape processes such as runoff and sediment yields. The main objectives of this study are to assess the land use change and its impact on the runoff and sediment yield of the upper Serayu Catchment. Land use changes of 1991 to 2014 have been analyzed. Spectral similarity and vegetation indices were used to classify the old image. Therefore, the present and the past images are comparable. The influence of the past and present land use on runoff and sediment yield has been compared with field measurement. The effect of land use changes shows the increased surface runoff which is the result of change in the curve number (CN) values. The study shows that it is possible to classify previously obtained image based on spectral characteristics and indices of major land cover types derived from recently obtained image. This avoids the necessity of having training samples which will be difficult to obtain. On the other hand, it also demonstrates that it is possible to link land cover changes with land degradation processes and finally to sedimentation in the reservoir. The only condition is the requirement for having the comparable dataset which should not be difficult to generate. Any variation inherent in the data which are other than surface reflectance has to be corrected.