google-deepmind / forest_typologyLinks
Datasets to protect Earth's forests and biodiversity
☆97Updated 7 months ago
Alternatives and similar repositories for forest_typology
Users that are interested in forest_typology are comparing it to the libraries listed below
Sorting:
- GeeFlow - generate and process large-scale geospatial datasets with Google Earth Engine.☆100Updated 3 weeks ago
- This repository contains the classification module of the WorldCereal system.☆78Updated this week
- A toolkit that enables building damage assessments from remotely sensed imagery.☆140Updated last month
- A toolkit for optimizing cloud GeoTIFF streaming in PyTorch. Achieves 20x throughput and 90% GPU utilization through optimized data loadi…☆52Updated 6 months ago
- ☆60Updated last year
- TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.☆190Updated this week
- This repository contains details of the release of the Prithvi-EO-2.0 foundation model.☆155Updated 9 months ago
- A catalogue of open access forest datasets☆199Updated last year
- ☆59Updated 6 months ago
- Manage, search, and download Earth Observation data with Φ-down from Copernicus missions with ease and efficiency.☆81Updated 2 weeks ago
- PlotToSat can extract time-series from Sentinel-1 and Sentinel-2 at multiple to thousands of plots (circular regions)☆33Updated 2 months ago
- Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.☆55Updated 7 months ago
- Code for running baseline models/experiments with the Fields of The World dataset☆111Updated last week
- A tutorial explaining how to run a unet segmentation in PyTorch using Geotiffs as input☆53Updated 11 months ago
- Hydro -- A Foundation Model for Water in Satellite Imagery☆57Updated 10 months ago
- Code to reproduce the experiments of ICML2024-paper: Estimating Canopy Height at Scale☆31Updated 3 weeks ago
- MapMiner is a powerful tool designed to efficiently extract and process geospatial data from various sources. Leveraging advanced technol…☆45Updated 2 weeks ago
- Towards Robust Evaluation for Geospatial Foundation Models☆236Updated 4 months ago
- Earth Observation Data Analysis Library☆99Updated 8 months ago
- Sentinel-1 & Sentinel-2 data cubes at large scale (bigger-than-memory) on any machine with integrated cloud detection, snow masking, harm…☆130Updated this week
- Tutorial describing how to run SAM2 on a geotiff-file and export the resulting masks to a georeferenced geopackage vector file☆20Updated 10 months ago
- williamlidberg / Mapping-drainage-ditches-in-forested-landscapes-using-deep-learning-and-aerial-laser-scanningThis project aims to map small ditches from high resolution LiDAR data using deep learning☆30Updated 2 years ago
- A Python package for Remote Sensing Data Analysis☆126Updated last year
- This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to es…☆171Updated 2 years ago
- Image segmentations of trees outside forest☆170Updated 11 months ago
- This a repository with the winners' code from the BioMassters challenge☆46Updated 2 years ago
- A Python package for Remote Sensing Data Analysis☆235Updated 2 months ago
- Sensor Independent Cloud and Shadow Masking with Ambiguous Labels and Multimodal Inputs☆43Updated last year
- The Galileo family of pretrained remote sensing models☆161Updated 2 months ago
- The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating add…☆98Updated 7 months ago