Abstract: Computer-based method and system for urban planning of a facility are described herein. The method and system facilitate a user, without any hard knowledge of geographic information system (GIS) to perform quick geo-spatial analysis with a fully automated, single step, and single input process including automatically determining one or more criteria corresponding to the facility based on the facility type defined by the user, automatically performing data analysis on a plurality of data-sets, automatically determining and presenting at least one suitable site within the geographic area for the facility based on the data analysis.

Abstract: Computer-based method and system for urban planning of a facility are described herein. The method and system facilitate a user, without any hard knowledge of geographic information system (GIS) to perform quick geo-spatial analysis with a fully automated, single step, and single input process including automatically determining one or more criteria corresponding to the facility based on the facility type defined by the user, automatically performing data analysis on a plurality of data-sets, automatically determining and presenting at least one suitable site within the geographic area for the facility based on the data analysis.

Abstract: Computer-based method and system for predicting Land Use Land Cover (LULC) classification of a geographic area using trained deep learning model are described herein. The method and system facilitate a user, without any hard knowledge of geographic information system (GIS) to get LULC classification of a geographic area with a fully automated, single step, and single input process.

Abstract: Computer-based method and system for geo-spatial analysis are disclosed herein. The method and system facilitate a user, without any hard knowledge of geographic information system (GIS) to perform quick geo-spatial analysis with a fully automated, single step, and single input process including automatically retrieving a first set of satellite images corresponding to a geographic area and a first time frame provided by the user, automatically processing the first set of satellite images to determine first values of one or more urban parameters corresponding to the geographic area for the first time frame, and automatically presenting a visualization depicting the first values of the one or more urban parameters.

Abstract: Computer-based method and system for geo-spatial analysis for determining groundwater potential zones within a geographic area are disclosed herein. The method and system facilitate a user, without any hard knowledge of geographic information system (GIS) to perform quick geo-spatial analysis with a fully automated, single step, and single input process including automatically retrieving a set of satellite images and digital elevation model (DEM) corresponding to a geographic area and a time frame provided by the user, automatically processing the set of satellite images and DEM to determine one or more spectral indices and topographic wetness index (TWI) corresponding to the geographic area and time frame, automatically determining the groundwater potential zones using the one or more spectral indices and the TWI and automatically presenting a visualization depicting the groundwater potential zones within the geographic area.