Dense Predictive Coding and UNet framework for satellite images time series segmentation

This study aims to develop ML- and DL-based frameworks for mapping five crucial crops using Sentinel-2 data. It employs RF, GBM, 1DTempCNNs, 1DSpecCNNs, and LSTM models to cater to beekeepers' need…

Smart Agriculture, Remote Sensing, GIS, geemap, leafmap, Computer Vision, LLMs

Urban Heat Island Detection and Forecasting Model

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Using Deep Learning and satellite imagery to detect Urban Heat Island (UHI) effects

Land Cover Change Detection using Satellite Image Segmentation.

Urban change model designed to identify changes across 2 timestamps

Collection of tools developed by GOST team for extracting information from SAR data

Downloader for GEE S2 bands

This code repository is an attachment for the article in Remote Sensing: Onačillová, K.; Gallay, M.; Paluba, D.; Péliová, A.; Tokarčík, O.; Laubertová, D. Combining Landsat 8 and Sentinel-2 Data in…

Web GIS application demonstrating the use of various libraries and frameworks in showin bus stops in Nairobi Central Business District

U-net for deforestation detection

A framework for land-use classification using open sourced python based geospatial modules.

Walk-through using u-net to detect clouds in satellite images.

version 2 of the forest alert system using an EfficientNet

Working with U-net in R

Image segmentations of trees outside forest

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Radar Deforestation detection system based on Google Earth Engine

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

A notebook gallery of the sits package

Code samples used on cloud.google.com

This repo is used to identify active agriculture lands