Shubham Sharma
Shubham Sharma is a Senior Data Scientist with more than ten years of experience at the convergence of Remote Sensing, Image Processing, Computer Vision, and Deep Learning. He has been an active contributor to the open-source scientific computing ecosystem, engaging with communities through conferences such as SciPy and as a past speaker at PyCon. His work includes significant experience in Synthetic Aperture Radar (SAR) image processing, and he is deeply committed to advancing knowledge of satellite image analysis using Python within the open source community.
He/him
Senior Data Scientist
Session
Remote Sensing has proved to be an important tool in monitoring our earth's ecosystem. Satellite imaging is a vital part of Remote Sensing. Predominantly, Satellite Imaging of the earth has been done in the optical domain and optical Images serve the majority of purpose for earth monitoring. But, these satellites do not have all-weather acquisition capability and this lacuna is filled by the satellite sensors working in the Microwave domain of the Electromagnetic spectrum. Synthetic Aperture Radar(SAR) is an Imaging Radar that acquires images of a particular area on Earth in the microwave region of electro-magnetic spectrum. This workshop deals with the processing of SAR Images and how these images can be beneficial in a variety of geographical applications.