easz / urban-tree
detect urban trees with the help of aerial images
☆10Updated last year
Alternatives and similar repositories for urban-tree:
Users that are interested in urban-tree are comparing it to the libraries listed below
- ☆66Updated 10 months ago
- Tutorial describing how to run SAM2 on a geotiff-file and export the resulting masks to a georeferenced geopackage vector file☆16Updated 3 months ago
- Annotation of datasets for deep learning applied to satellite and aerial imagery☆49Updated last week
- ODEON is a task-agnostic framework for deep learning applied to remote sensing☆22Updated 3 weeks ago
- Library to create Multi Seasonal remote sensing indexes composites☆27Updated last year
- Earth observation framework for scaled-up processing in Python☆44Updated last month
- Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained mo…☆94Updated last month
- ☆21Updated 3 weeks ago
- STAC Machine Learning Model (MLM) Extension to describe ML models, their training details, and inference runtime requirements.☆38Updated last week
- A toolkit that enables building damage assessments from remotely sensed imagery.☆115Updated 3 weeks ago
- Tools for detecting deforestation and forest degradation☆31Updated 2 years ago
- OrthoSeg makes it easy to train neural networks to segment orthophotos.☆32Updated 3 weeks ago
- Earth Observation Training Datasets☆28Updated this week
- A tutorial explaining how to run a unet segmentation in PyTorch using Geotiffs as input☆43Updated 3 months ago
- Notebook for the GRASS GIS for remote sensing data processing and analysis workshop at FOSS4G 2022 in Florence☆24Updated 2 years ago
- A curated list of Awesome Spectral Indices (ASI) resources☆20Updated last year
- GRASS GIS addons for Regionalverband Ruhr (RVR) related geodata processing☆13Updated 2 months ago
- SentinelDownloader is a high level wrapper to the SentinelSat api☆32Updated 2 years ago
- MapMiner is a powerful tool designed to efficiently extract and process geospatial data from various sources. Leveraging advanced technol…☆39Updated last month
- This is the official repository for the online course 'Cubes & Clouds'☆39Updated this week
- E-learning course on Time Series Analysis in Remote Sensing for Understanding Human-Environment Interactions☆28Updated last month
- Exploring the use of machine learning to convert a Digital Surface Model (e.g. SRTM) to a Digital Terrain Model☆67Updated 4 years 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☆27Updated last year
- Documents and tutorials regarding the ESA WorldCover datasets☆23Updated 2 years ago
- A list of STAC endpoints for the AWS Open Data Program☆26Updated 8 months ago
- The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating add…☆93Updated 2 weeks ago
- ☆33Updated last week
- Correct drone, aerial and satellite imagery to surface reflectance.☆23Updated 2 months ago
- A list of geospatial conferences for 2025☆84Updated this week
- Intended for an AMLD 2024 workshop.☆22Updated last year