PDFM Embeddings: location-based vectors for geo-spatial analysis.

Python version of some usefuly Google Earth Engine utilities (migrated from /users/gena/packages JavaScript)

Non Local Means (NLM) python implementation.

Sentinel 1 pipeline using SNAP GPT 7.0

Slum mapping using segmentation models and multispectral images

Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation

Slums detection through VHR and MR imagery

Mumbai slum segmentation and change detection on statellite images.

A simple, fully convolutional model for real-time instance segmentation.

Farmponds is a repository for a machine learning application that can recognize, label and estimate area of farm ponds based on farm ponds in Western India.

Models and examples built with TensorFlow

The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical …

Manipulation and analysis of geometric objects on the sphere.

Course website for DataViz 2102 for the fall semester of 2024

Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

[RSE 2024] 🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 🌍🛰️

Python toolbox to process large vector files faster.

OrthoSeg makes it easy to train neural networks to segment orthophotos.

An Xarray extension for Google Earth Engine

A lightweight Python package, and accompanying API, that can be used to access all of the world's most up-to-date and accurate ISO 3166-2 subdivision data, including: name, local name, code, parent…

Sonification Tools and Resources for Analysis Using Sound Synthesis

Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Work with Sentinel 1 with only python...

A CNN to perform semantic segmentation of SAR images to identify oil spills.

Detection Network for Extracting Marine Oil Spills from SAR Images

Implementation of Image Processing Segmentation techniques and algorithms for Oil Spill detection in SAR images

Segmenting oil slicks with a panoptic segmentation transformer architecture

detecting oil slicks from satellite imagery

A list of resources to get you started with Deep Learning based despeckling of Synthetic Aperture Radar(SAR) images