A workshop on migrating code from the raster package to the terra package in R

Positron, a next-generation data science IDE

Toolbox for Reducing Atmospheric InSAR Noise

An R client for the BioSIM Web API

Vectorisation of road network

Road corrections and measurements from ALS data

Nearest neighbor-based imputation on multivariate data

Template Repo for creating Strato Earth workflow tasks

Terraform version manager

A comma-separated-value file for matching FIA data with tree species names.

AWS JavaScript S3 Explorer is a JavaScript application that uses AWS's JavaScript SDK and S3 APIs to make the contents of an S3 bucket easy to browse via a web browser.

Techniques for deep learning with satellite & aerial imagery

This repo contains the executable of GCBM used in Chile

General purpose Synthetic Aperture Radar (SAR) postprocessing software package

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

Implementation of Ontario's growth and yield models

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

DeltaPy - Tabular Data Augmentation (by @firmai)

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors

GEDI L3 and L4 Tutorials

Geocomputation with R: an open source book

software for analysis of Lidar data from forest environment.

Quick STEP GEOBIA plugin for QGIS 3. Accuracy assessment of object-based image classification.

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.