Abstract: A device includes an image data receiving component, a vegetation index generation component, a spatial structure variance generation component, a classification component and a water budget component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a vegetation index based on the received multiband image data. The spatial structure variance generation component generates a spatial structure variance image band based on the received multiband image data. The classification component generates a land cover classification based on the received multiband image data, the vegetation index and the spatial structure variance image band. The water budget component generates a water budget of a portion of the geographic region based on the land cover classification.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a spatial structure variance generation component, a classification component and a water budget component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a vegetation index based on the received multiband image data. The spatial structure variance generation component generates a spatial structure variance image band based on the received multiband image data. The classification component generates a land cover classification based on the received multiband image data, the vegetation index and the spatial structure variance image band. The water budget component generates a water budget of a portion of the geographic region based on the land cover classification.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a GLC matrix component, a plurality of classifying components and a voting component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a normalized difference vegetation index based on the received multiband image data. The GLC matrix component generates a grey level co-occurrence matrix image band based on the received multiband image data. The classifying components generate land cover classifications based on the received multiband image data, the normalized difference vegetation index and the grey level co-occurrence matrix image band. The voting component generates a final land cover classification based a majority vote of the land cover classifications.

Abstract: A device includes an image data receiving component, a vegetation index generation component, a GLC matrix component, a plurality of classifying components and a voting component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a normalized difference vegetation index based on the received multiband image data. The GLC matrix component generates a grey level co-occurrence matrix image band based on the received multiband image data. The classifying components generate land cover classifications based on the received multiband image data, the normalized difference vegetation index and the grey level co-occurrence matrix image band. The voting component generates a final land cover classification based a majority vote of the land cover classifications.