EarthObservation's Repositories
32 repositories
adaf
No description
⭐ 12
🌐 Public
ARSET23
No description
⭐ 37
🌐 Public
clip_dem
Clips DEM from a VRT file.
⭐ 0
🌐 Public
dtsi
Digital Twin of Slovenia
⭐ 0
🌐 Public
EduServ23
No description
⭐ 0
🌐 Public
EduServ24
No description
⭐ 0
🌐 Public
floodsdl-mcube
Flood Mapping with Deep Learning for Multi Mission Mapper - mCube
⭐ 0
🌐 Public
GeoDev
GeoDev Slovenia Meetup
⭐ 3
🌐 Public
hand_index
Procedure for creating DEM normalised to drainage elevation, i.e. Height Above Nearest Drainage.
⭐ 2
🌐 Public
Image-stacking
Image stacking for lower SNR
⭐ 0
🌐 Public
iSLA-Backend
Flask restx API for iSLA starring authorization and authentication using JWT & crowdsourcing mnagement and administration + QGIS Server
⭐ 0
🌐 Public
iSLA-Frontend
No description
⭐ 0
🌐 Public
odz-shared-utils
This repository contains a collection of useful scripts, functions, and Jupyter notebooks developed by our department.
⭐ 0
🌐 Public
PyGNSS
PyGNSS - Analysis and visualization of precise GNSS orbits
⭐ 3
🌐 Public
raster_statistics
Compute raster statistics based on vectors
⭐ 0
🌐 Public
RVT
Relief Visualization Toolbox
⭐ 7
🌐 Public
rvt-arcgis-pro
ArcGIS Pro Relief Visualization Toolbox Raster Functions
⭐ 13
🌐 Public
rvt-qgis
No description
⭐ 19
🌐 Public
RVT_py
Relief Visualization Toolbox in Python
⭐ 39
🌐 Public
s2-composite
No description
⭐ 0
🌐 Public
S34I
S34I - Secure and Sustainable Supply of Raw Materials for EE Industry
⭐ 1
🌐 Public
s34i-docs
S34I Documentation
⭐ 0
🌐 Public
S34I-training
No description
⭐ 0
🌐 Public
satimagets
Tools for the generation and analysis of satellite image time series.
⭐ 1
🌐 Public
SciHUB_downloader
A collection of python routines for downloading Sentinel products from SciHub.
⭐ 2
🌐 Public
Sentinel-S1-S2-EOPatch-Workflow
The project uses eo-learn library to establish download/processing workflow for Sentinel 1 and 2 imagery with time series included
⭐ 0
🌐 Public
Sentinel-S1-S2-ML-patches-workflow
Python workflow that prepares Sentinel-1 and Sentinel-2 layer-stacks, described in the article "Machine learning-ready remote sensing data for Maya archaeology" by Kokalj et al.
⭐ 1
🌐 Public
shub_cloudless
Sentinel Hub configuration for downloading cloudless images from selcted extents in a selected time frame
⭐ 0
🌐 Public
slc_processing
Routines for processing of Sentinel-1 SLC data for project AiTLAS.
⭐ 2
🌐 Public
susa_indices
A series of routines used for aggregation of raster data into tables. Developed for the ARRS Susa project.
⭐ 0
🌐 Public
tat2022
SAR & Optical Remote Sensing for Agriculture
⭐ 1
🌐 Public
travniki25
No description
⭐ 0
🌐 Public