Supria Sarkar
PhD Candidate @ Geospatial Science | Planet Fellow | Soybean Seed | Data Science
- Role
- Research Assistant at Saint Louis University
- Location
- Carbondale, IL, US
- LinkedIn followers
- 500 followers
About Supria Sarkar
Geospatial Data Scientist working with satellite remote sensing and AI 🧠to estimate…
Experience
Research Assistant
Aug 2021 — Present · St Louis, MO, US
Developed crop phenotyping models using multiple satellite remote sensing data (i.e, Planet and Sentinel-2) using a suite of statistical machine learning (i.e, random forests, support vector machine, gradient boosting machine, etc.) and deep learning (i.e, LSTM, GRU) algorithms.• Devised a kernel-based deep neural network to enhance the spectral resolution of Planet products from Sentinel-2 images, which improved soybean seed composition estimation.• Administered field data collection to connect satellite and UAV images with agricultural decision making, such as, ground truth measurements, plot and field boundary, GPS data collection.• Automated ground truth plot boundary extraction for experimental fields using GIS and open-source Python tools.• Led Seed-AI project (funded by United Soybean Board) to estimate soybean seed composition from standing crops using high-resolution Planet satellite images and machine learning.• Secured a research funding from Planet Labs as Planet Fellow to conduct research using Planet images for geospatial applications.• Improved NDVI map support system to external clients for invasive plant tracking. Developed a Python-based automated vegetation index calculation pipeline from Planet API.
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.