Map digitization on 1:1 scale (1:3960)✓ Quality check and layout generation ✓ QC AND QA DATA AND PROCESS✓ Drawing to shape conversion✓ Geo-referencing of MP STATE Maps and updated according to the jurisdictional changes✓ BULTUP AREA CAPTURING OF MP STATE USING ESRI GOOGLE EARTH SATELLITE IMAGE AND QC AND QA OF CAPTURING OF DATA AND UPDATION..........PREPARATION OF DIFFERENT TYPES OF MAPS, AFTER 2011 CENSUS THE DIFFERENT JURISDICTIONAL CHANGES IN THE GEO SPATIAL DATA OF MADHYA PRADESH UPDATION ETC., DIFFERENT CENSUS RESEARCH WORK AND UPDATION REGARDING MAPS AND GEOSPATIALDATABASE OF MP.

DIGITIZATION WORK OF DIFFERENT TYPES OF LAYER WITH THE HELP OF BLUE-SKY SATELLITE IMAGE

 ATAL MISSION FOR REJUVENATION AND URBAN TRANSFORMATION (AMRUT) GOVT. OF INDIA PROJECT  Smart City : BHOPAL MASTER PLAN AND LANDUSE OF MP TOWNS

Data capturing from multiple sources, Processing of data, Database handling, GIS based tools & application handling, preparing various types of maps, working on ARC GIS, QUANTUM GIS, ERDAS IMAGINE.Read LAS Data in Microstation software, generate contour, Create surfaceModel of LAS Data and Classified LAS data in different classes, Convert LAZ file into LAS. Khasra Mapping ✓ Map digitization on 1:1 scale (1:3960)✓ Quality check and layout generation ✓ Drawing to shape conversion✓ Geo-referencing of digitized khasra data using Ortho-rectified satellite data Orthorectification & Image Processing of WV02 satellite data of M.P.Seamless base data creation (Ortho-rectification & Image processing)WV2 PSH images✓ Pan Sharpening WV02 (PAN, MSS) satellite images.✓ Photogrammetric Block Creation, Bundle block adjustment (at broad level) of entire MPState having (433 WV02 Mono images) which is appreciated by MAP_IT QC team – it is asuccessful adjusted block QC team has been seen having RMSE: 0.37 Pixel.✓ Seamless mosaic with color balancing.  Land use & Land cover mapping using Sentinel 2 dataEstablishment level-1 classification for entire Madhya Pradesh.✓ Image Classification, Image Enhancement✓ Image recode and post processing of classified satellite image. Crop Identification using LISS-IV & Sentinel-2 dataSeasonally crop identification using LISS-IV & Sentinel-2 data and other planning aspects. ✓ Image segmentation with suitable scale parameter.✓ Using different model- NDVI, LAI, RVI, GNDVI, SLAVI✓ Topography - Slope, Aspect, Hill shade generation. Image to Image Georeferencing ✓ Image Staking✓ Georeferencing Autosync

Point cloud data classification (building, trees, vehicles etc...)Mobile mapping using lidar data( Road, pole, street light, building, etc...)Contour, shading, DEM etc generation using point cloud data..

DYNAMICS OF URBAN EXPANSION: A CASE STUDY OF LUCKNOW CITY.

DYNAMICS OF VEGETATION COVER: A CASE STUDY OF DELHI REGION.