ESA-PhiLab

Pinned Repositories

eo4ai
Earth Observation dataset preprocessing tools for Deep Learning
Language:Python37 5 35
hypernet
Language:Jupyter Notebook49 9 314
iris
Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Language:JavaScript141 11 3042
Major-TOM
Expandable Datasets for Earth Observation
Language:Jupyter Notebook159 13 512
NGVEO
Deep learning for Earth Observation
Language:Python54 6 212
OpenSarToolkit
High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.
Language:Python216 16 6053
OST_Notebooks
Language:Jupyter Notebook32 7 415
phileo-bench
Repo for testing foundation models
Language:Jupyter Notebook43 0 04
PyRawS
Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which corresponds to a decompressed version of Level-0 data with additional metadata. The software is demonstrated on the first Sentinel-2 dataset containing raw data for warm temperature hotspots detection/classification.
Language:Jupyter Notebook70 4 128
radiometric-slope-correction
Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine
Language:Jupyter Notebook49 5 219

ESA-PhiLab's Repositories

ESA-PhiLab/OpenSarToolkit
High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.
Language:Python216 16 6053
ESA-PhiLab/Major-TOM
Expandable Datasets for Earth Observation
Language:Jupyter Notebook159 13 512
ESA-PhiLab/iris
Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Language:JavaScript141 11 3042
ESA-PhiLab/PyRawS
Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which corresponds to a decompressed version of Level-0 data with additional metadata. The software is demonstrated on the first Sentinel-2 dataset containing raw data for warm temperature hotspots detection/classification.
Language:Jupyter Notebook70 4 128
ESA-PhiLab/NGVEO
Deep learning for Earth Observation
Language:Python54 6 212
ESA-PhiLab/hypernet
Language:Jupyter Notebook49 9 314
ESA-PhiLab/phileo-bench
Repo for testing foundation models
Language:Jupyter Notebook43 0 04
ESA-PhiLab/eo4ai
Earth Observation dataset preprocessing tools for Deep Learning
Language:Python37 5 35
ESA-PhiLab/OST_Notebooks
Language:Jupyter Notebook32 7 415
ESA-PhiLab/QNN4EO
Language:Jupyter Notebook31 6 111
ESA-PhiLab/floatingobjects
Language:Python30 5 112
ESA-PhiLab/WorldCrops
Precision agriculture in the embedding space
Language:Jupyter Notebook21 5 06
ESA-PhiLab/RobustMFSRforEO
Language:Jupyter Notebook12 5 32
ESA-PhiLab/Learning_from_Unlabeled_Data_for_Domain_Adaptation_for_Semantic_Segmentation
Learning from Unlabeled Data: Domain Adaptation for Semantic Segmentation
Language:Python10 3 01
ESA-PhiLab/AI4EO-Challenge-Building-Sustainability
AI4EO Challenge BiDS 2023 - Building Sustainability: Using AI for Estimating Construction Year from multi-modal street-view - EO dataset
Language:Jupyter Notebook9 4 02
ESA-PhiLab/ESA-UNICEF_DengueForecastProject
A reproducible ensemble machine learning approach to forecast dengue outbreaks
Language:Jupyter Notebook6 3 12
ESA-PhiLab/phileo-dataset
PhilEO Dataset
Language:Python6 0 0
ESA-PhiLab/SemanticAlignNet
http://arxiv.org/pdf/2404.11302 - A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching - Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini
Language:JavaScript6 0 01
ESA-PhiLab/buried-archaeology
Task generating and task run processing scripts as well as task presenter HTMLs for the Buried Archaeology crowdsourcing project hosted on PyBossa.
Language:HTML4 2 0
ESA-PhiLab/snerf
Shadow Neural Radiance Fields
Language:Python4 3 02
ESA-PhiLab/MapYourCity
http://platform.ai4eo.eu/map-your-city - AI4EO Challenge MapYourCity - Multi-modal street-view - EO dataset
Language:Jupyter Notebook3 0 01
ESA-PhiLab/QML4EO-tutorial
Language:Jupyter Notebook2 2 01
ESA-PhiLab/CAS_Confidence_Assessment
CAS: Confidence Assessments of classification algorithms for Semantic segmentation of EO data
Language:Python1 0 0
ESA-PhiLab/NovaManager
Language:JavaScript0 3 00
ESA-PhiLab/variational_hs_ms_fusion
Language:C++0 4 00
ESA-PhiLab/racetic
Language:Python1 0
ESA-PhiLab/TestCase_1
Language:Python2 0
ESA-PhiLab/TestCase_2
Language:JavaScript2 0
ESA-PhiLab/TestCase_3
SeasFire Project
Language:Jupyter Notebook2 0
ESA-PhiLab/TestCase_4
Intellibee
Language:HTML2 0