Crop type identification using multi-temporal and multi-spectral satellite images
Land use/land cover changes and their impacts on terrestrial ecosystems including forestry, agriculture and biodiversity have been identified as high priority issues at global, national, and regional levels. Vegetation cover change is the major land cover change in terms of occurrence as well as impact. Remote sensing and geographical information systems (GIS) are powerful tools for deriving accurate and timely information on the spatial distribution of land use/land cover changes over large areas. This approach was employed to map the crop cover of the watershed. In many instances related to soil conservation and erosion detailed information about the particular crop type is needed. There is much research identifying land use/land cover, using various techniques.. However, identifying the crop type, although very important, is not very well documented. The objective of this research is to investigate various approaches to identifying crop type at watershed level using satellite images.