NH21C-2207 Gridded Population Data for India: Accuracy Assessment and a New Benchmark
Date and Time: Tuesday, 10 December 2024, 08:30 - 12:20
Location: Hall B-C (Poster Hall) (Convention Center)
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B31M-1453 Neural Networks for Predicting Deforestation in the Amazon for Policy Evaluation
Date and Time: Wednesday, 11 December 2024, 08:30 - 12:20
Location: Hall B-C (Poster Hall) (Convention Center)
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NH41F - Remote Sensing and Machine Learning for Flood Mapping and Impact Assessment I Poster
Date and Time: Thursday, 12 December 2024, 08:30 - 12:20
Location: Hall B-C (Poster Hall) (Convention Center)
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NH51C - Remote Sensing and Machine Learning for Flood Mapping and Impact Assessment II Oral
Date and Time: Friday, 13 December 2024, 08:30 - 10:00
Location: Independence D (Marriott Marquis)
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Looking for an Interesting Team to Collaborate With in Summer 2025
I am a third-year PhD student and after having completed my coursework, I am now actively seeking internship opportunities for Summer 2025. I bring over eight years of diverse experience in geospatial projects across academia, research, and industry.
My expertise lies in geospatial data analysis, machine learning, and building scalable workflows. Following are some of my publicly available content on machine learning and geospatial tools:
- Is CNN Equally Shiny on Mid-Resolution Satellite Data?
- Neural Network for Satellite Data Classification Using TensorFlow in Python
- Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels
- Deep learning approach for monitoring urban land cover changes
- Global Flood Mapper
- COINS - COntinuity IN Street networks
- pyrsgis - a Python package for remote sensing and GIS
Please find more about my professional background in my full CV: Pratyush Tripathy - CV.
If you are interested in this kind of work or learning more about the projects I am involved in, please check out the EDGE lab and MapSolve AI webpages.