There are 0 repository under eo topic.
ESA Earth Observation Toolbox and Java Development Platform
On-Demand Earth System Data Cubes (ESDCs) in Python
Desktop GUI for SNAP based on NetBeans Platform
Lexcube: 3D Data Cube Visualization in Jupyter Notebooks
Search satellite Imagery Archive on aggregators like UP42, skywatch, EOS via their respective APIs
The GeoZarr specification has been transferred to the Zarr-developers repository. This spec aims to provides a geospatial extension to the Zarr specification.
Efficient analysis of spatial biodiversity datasets for global portfolios
GPU accelerated earth observation data processors
[DEFUNCT] Elegant OOP wrapper over the VersionEye API
A collection of Python notebooks and applications related to Earth Observation (EO) sector.
La nova reta vortaro — The new online dictionnary (for Esperanto)
Spectral recovery analysis for forested ecosystems in Python. Part of the PEOPLE-ER project.
Native Linux app to browse the Nova Reta Vortaro
Covers electro-optical data that represents a snapshot of the Earth. It could consist of cloud cover and multiple spectral bands, for example visible bands, infrared bands, red edge bands and panchromatic bands.
SNAP Microwave Toolbox
Efficient slippy map XYZ/WMS tileset priority fill/merging implementation with S3 and local filesystem support
SNAP Optical Toolbox
Simple Save Editor for 3DS Etrian Odyssey
SNAP development container definition for the VS Code Remote - Containers extension
Proposes the schema.org encoding for Earth Observation Collection, Services and Granule metadata and the mapping with the corresponding OGC17-003r2, OGC19-020r1 and OGC17-084r1 GeoJSON(-LD) metadata encodings.
Enhancement of The Esperanto Teacher by H. Fryer
An object-oriented, and, therefore, elegant implementation of filesystem in Go.
Get data from the old Reta Vortaro to the Nova Reta Vortaro
A geospatial variation of the classic Minesweeper game, based on satellite imagery provided by ESA
The k-NN tool is to provide a generic tool to conduct k Nearest Neighbour (k-NN) prediction of continuous forest target variables of interest. In the context of Ecosystem Restoration monitoring, the tool allows wall-to-wall propagation of the variables of interest using field reference data and provided EO datasets. Part of the PEOPLE-ER project.