11-17, 09:00–12:00 (Pacific/Auckland), WF502
Synthetic Aperture Radar(SAR) is an Imaging Radar that acquires images of a particular area in the microwave region and possesses all-weather,all-time imaging capabilities.This workshop deals with the processing of SAR Images and how these images can be beneficial in a variety of geographical applications.
Intended Audience : The workshop will be aimed at the audience belonging to any level of education. It will introduce them to the wonderful class of SAR images and how are these images useful from the perspective of various applications.
Expected Outcomes (after the workshop, the audience will be) :
i) Able to understand the acquisition of SAR imagery.
ii) Able to understand the types of datasets utilized in remote sensing
iii) Able to use the GDAL library to perform operations on images
iv) Able to efficiently process SAR imagery using Python
v) Able to draw a roadmap in order to utilize SAR imagery for various geographic applications
Outline
The workshop will be divided into the following sub-sessions :
Sub-Session-1: Introduction to Microwave Remote Sensing (30 minutes) - This part will discuss the foundations of Microwave Remote Sensing. Theoretical aspects regarding the acquisition of images, the formation of images encompassing the generation of complex images and ground range detected images will be discussed.
Sub-Session-2: Pythonic Way to SAR Image Processing (150 minutes): This part will focus on achieving the following Key points:
1) Basic utilization of GDAL, Numpy and Matplotlib Libraries for opening and visualizing Images(30 minutes)
2) Codes will be developed separately for calibration for each SAR sensor(esp. Sentinel-1, Radarsat-2) from scratch.(45 minutes)
3) Utilization of the codes developed in (2) for various applications such as Oceanography, Forestry, etc.(75 minutes)
Datasets: Free Imagery data sets of Sentinel-1 SAR will be utilized. In addition, Sample Data sets of Radarsat-2, RISAT- 1 which are freely downloadable will be utilized.The sample datasets will be provided. For better understanding of the datasets, the participants may download and utilize the Sentinel-1 SAR free Image dataset initially .Sentinel-1 Free SAR Imagery(https://browser.dataspace.copernicus.eu/)
Conduct of the workshop : The workshop will be conducted through the means of Jupyter Notebooks. Along with the sessions, the audience will be provided with the exercises to clear their concepts of SAR Imagery.
Total Duration
The duration of the workshop will be 3 hours.
Shubham Sharma is serving as Head of Data at GalaxEye Space, Bengaluru, India.His
experience consists of serving as a Remote Sensing and Data Scientist at Geospoc-OLA and Hexagon Geosystems and he has worked on the utilization of Python for satellite
image processing applications specifically in Radar Remote Sensing and served as
a Research Fellow on related projects with renowned space organizations such as ISRO. He
has also presented at leading Python conferences such as Pycon India and has mentored at
conferences such as Scipy. Further, he has also served as a Technical reviewer of books on
Python and has taken workshops related to Python programming for Satellite image
processing. He enjoys programming and strongly advocates outreach of Open Source
technologies in the Geospatial Sector.