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Watershed management with focus on reduction of runoff and soil erosion by design of location specific engineering structures is essential. Watershed Softguide is the software for design of three structures: bench terrace, farm pond and vegetated waterway, which are very important for conservation of natural resources in environmentally sensitive era. This software has been supported with database that contains data of 150 locations all over Maharashtra State in India to make the design location specific. The software is armed with database addition and editing facility. It also gives to-the scale diagram of the designed structure, which can be printed. Help-pan present on the screen makes it user-friendly. The software has been tested at developer"s level. Results obtained using software were compared with on-paper calculation and the results were found satisfactory. Watershed Softguide 1.0 software has lead to the simplification of the design of soil and water conservation structures is achieved to an extent that field officers and farmers can design those structures in their respective locations with easily and readily available information.

The present study determined the mango land suitability in Ratnagiri district with combine use of MCDM with GIS based AHP. There were five main criteria i.e. climate, topography, soil, erosion and conservation measures and eleven sub-criteria were used in the present study. The all main criteria maps were prepared in ArcGIS according to mango crop requirement. After preparing the various thematic maps, AHP process has been used to calculate the weights through pairwise comparison matrix. In order to accept the weighting results or judgments, a consistency ratio (CR) value was calculated to determine whether the pairwise comparison was consistent. Then the ‘Weighted Overlay’ tool in overlay toolset which is in spatial analyst tools in ArcGIS has been used to perform an overlay analysis. The results showed that 16.86 percent of the area was classified as highly suitable, while 67.93 percent, 10.03 percent, and 5.18 percent of the area were classified as moderately suitable, marginally suitable, and not suitable, respectively. As a result, a GIS-based AHP approach can provide better insights for improving capabilities and producing more realistic output scenarios.