Today large amount of satellite imagery and geospatial data collected from different sources is available at free of cost. Satellite imagery combined with power of Geographic information System can be a great tool for supporting environmental management, disasters, global climate change, natural resources, wildlife, land cover and many other applications.
Processing this vast amount of data in time and space efficient manner and deriving useful information and knowledge from data is one of the most challenging aspect of geospatial technology.
Curriculum
Overview of GIS and different geospatial data types
Overview to Python programming using
Raster data processing, resampling and analysis
Vector data processing and analysis
Familiarization to various open source geospatial data processing libraries e.g. GDAL, Geopandas etc.
Expected Outcome
At the end of this course participant must be able to
Write program in python to read, write and process different raster formats.
Write program in python to read, write and process different vector formats.
Write program to visualize geospatial data in form of maps, images etc.
Get insights from your spatial data
The candidates who want to participate in the course should be a student of final year undergraduate course or postgraduate course (any year).Technical/Scientific Staff of Central/State Government/Faculty/researchers at university/institutions are also eligible to apply for this course. Applications of participants have to be duly sponsored by university/institute and forwarded through coordinators from respective centres.
