Tree / Orchard Detection & Counting from High-Resolution Satellite Images
An end-to-end density-map regression U-Net pipeline to detect and count individual trees and orchards from high-resolution satellite imagery.
Posts by Collection
portfolio
DeepSlide: Landslide Detection & Segmentation
An application for automated landslide detection from multi-source satellite imagery using 13+ deep learning models.
Deep Residual U-Net for Building Footprint Extraction
A reproducible PyTorch pipeline trained on the SpaceNet Rio de Janeiro dataset for extracting building footprints from high-resolution satellite imagery.
publications
Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions
Published in arXiv preprint arXiv:2507.01123v2, 2025
Seasonal and Spatial Assessment of the Urban Heat Island Effect and Land Surface Temperature in Nagpur Using Landsat Remote Sensing
Published in EarthArXiv preprint, 2025
talks
Google Summer of Code (GSoC) Info Session
Published:
Delivered a talk at Bennett University’s Google Summer of Code (GSoC) Info Session, sharing practical insights on open-source contributions, choosing the right organizations, and writing proposals. The session covered the GSoC selection process, getting started with open-source, and included a live Q&A.