Integration of Simulation Models for Watershed Management and Data from Remote Sensing in Geographic Information Systems
نویسنده
چکیده
Recent simulation models for watershed management can predict the effect of management decisions on nutrient flows and water quality with reasonable accuracy depending upon on accessible data, such as topographic and hydrological datasets, estimates of point and non-point sources, land cover and soil datasets, weather data, information about management practices and a wide range of other optional parameters for setting and verification of model simulations. This paper deals with integration of the soil and water assessment tool (SWAT) model and the satellite images from the Landsat program. The scenes from Landsat (5, 7 and 8) are used to explore land cover changes through several decades. For land cover changes in the area of interest, supervised and unsupervised classifications are employed to find and compare spectral classes that are attached to the basic land cover types: artificial surfaces, agricultural areas, forests and semi-natural areas and water bodies. Spatial features from the classification can be arranged in map layers and stored in a data cube with two dimensions formed by the (x) and (y) spatial axis of the image display, and the third (z) formed by the time of acquisition of the image. The data cube can be complemented by spatial data for watershed modelling and by output layers for visualization of the simulation results. It provides both efficient storage of spatio-temporal data and data exchange by multiband read/write methods. The attached case study focused on long-term changes in nitrates in surface waters showing the nitrate contributions of various land-use classes to the hydrological components. This can provide quantitative information for the local authorities in making decisions for land cover and watershed management.
منابع مشابه
Decision support system (DSS) for site selection floodwater spreading schemes using remote sensing (RS) and geographical information systems (GIS)
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