spaceml-org / GIBS-Downloader
GIBS Downloader is a command-line tool which facilitates the downloading of NASA satellite imagery and offers different functionalities in order to prepare the images for training in a machine learning pipeline.
☆45Updated 3 years ago
Alternatives and similar repositories for GIBS-Downloader:
Users that are interested in GIBS-Downloader are comparing it to the libraries listed below
- Dynamically create image chips from STAC items☆29Updated last week
- Simple STAC Catalogs discovery tool.☆26Updated last week
- Jupyter notebooks for API and basic SAR change detection☆24Updated 7 months ago
- Extract Satellite Imagery from public constellations at scale☆77Updated 2 years ago
- Earth observation framework for scaled-up processing in Python☆42Updated 2 weeks ago
- Geospatial ML Model Catalog Spec☆52Updated 3 years ago
- EO/Geo and geo-related podcast list☆20Updated last year
- Earth Search information and issue tracking☆33Updated 10 months ago
- A Python package for simple STAC queries☆65Updated 2 years ago
- ☆32Updated 2 months ago
- Reconstruction of surface water dynamics in global reservoirs☆51Updated last year
- This is the official repository for the online course 'Cubes & Clouds'☆38Updated last week
- Relative Elevation Model in Python using xarray☆68Updated 2 years ago
- Python Open-Source Ecosystem for GIS and Earth Observation☆20Updated last year
- A repository of documents and notebooks related to Sentinel-5P☆30Updated last year
- An Item and Collection extension to describe machine learning (ML) models that operate on Earth observation data.☆37Updated 4 months ago
- Spectral endmembers and unmixing tools for satellite land cover mapping.☆24Updated last year
- Google Earth Engine Feature Collections via Dask Dataframes☆65Updated 3 weeks ago
- A Python module for spatial data handling☆30Updated last week
- A library of multivariate, high-dimensional statistics, and time series algorithms for spatial-temporal stacks.☆19Updated 4 years ago
- This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.☆37Updated 2 years ago
- Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio☆23Updated 8 years ago
- Interactive Code Editor-style reprs for Earth Engine objects in a Jupyter notebook☆34Updated last month
- STAC in Jupyter Notebooks☆35Updated 2 years ago
- Documents and tutorials regarding the ESA WorldCover datasets☆21Updated 2 years ago
- A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement …☆25Updated 3 weeks ago
- Machine learning on Landsat satellite data using open source tools☆14Updated 9 months ago
- Synthetic Aperture Radar (SAR) Level-1 GRD python mapper for efficient xarray/dask based processing☆29Updated 3 weeks ago
- Python package to call processed EE objects via the REST API to local data☆37Updated 9 months ago
- ☆25Updated last year