sertit/eoreader
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Topic: sentinel-3
34 repositories
nmileva/starfm4py
The STARFM fusion model for Python
olivierhagolle/peps_download
Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr
sentinel-hub/sentinelhub-js
Download and process satellite imagery in JavaScript or TypeScript using Sentinel Hub services.
DHI-GRAS/creodias-finder
A Python API for data discovery on Copernicus Data Space Ecosystem
wekeo/wekeo4oceans
Consolidated repository of Jupyter Notebooks for learning about EUMETSAT satellite data for marine applications. This code is a partial mirror of the repositories on https://gitlab.eumetsat.int/eumetlab/oceans/ocean-training
wekeo/learn-olci
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 OLCI sensor for marine applications.
AlexeyPechnikov/satellite-spectrogram
Compare Spectrograms of Hyperspectral and Multispectral Satellite Missions
LorenzoStucchi/SEN-ET_automatization
Automatization of the SEN-et SNAP plugin for multi-temporal analysis
wekeo/learn-sral
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SRAL sensor for marine applications.
Prikaziuk/S3_loader
Automatization of ESA Sentinel-3 images query and download
rifatSDAS/satellite_machine_learning
Unsupervised and supervised learning for satellite image classification
aalling93/ECNN-on-SAR-data-and-Radiometry-data
Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model
eumetsat/learn-slstr
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SLSTR sensor for marine applications.
wekeo/liege-colloquium-23
Repository of WEkEO Jupyter Notebooks for machine learning applications with EUMETSAT Copernicus marine data, in support of the 2020 Liege Colloquium.
rifatSDAS/satellite_optical_indices
Mostly used optical indices with satellite images for studying earth surface and different features and their changes in spatio-temporal scale.
JoshuaBillson/SentinelExplorer.jl
A pure Julia package for querying and downloading Sentinel data.
wekeo/learn-slstr
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SLSTR sensor for marine applications.
rufernan/SRS3
codes for JSTARS paper: Sentinel-3 Super-Resolution based on Dense Multi-Receptive Channel Attention
vlevasseur073/CopernicusData.jl
CopernicusData is a framework for Earth Observation satellite data processing
eumetsat/learn-sral
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SRAL sensor for marine applications.
cgi-italy-insula-processors/processor-eumon
Sentinel-3 pre-processing chain for eutrophication monitoring
eumetsat/learn-olci
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 OLCI sensor for marine applications.
cgi-italy-insula-processors/processor-gdaevapotranspiration-earthcode
The processor estimates Daily Evapotranspiration from Sentinel-2 and Sentinel-3 morning acquisition(s) based on the Two-Source Energy Balance Algorithm (TSEB) and machine learning sharpened Land Surface Temperature, utilizing Sen-ET project as baseline.
DSorlov/badtemperatur
Home Assistant integration for bathing water temperature from Copernicus Marine satellite data (Sentinel-3)
rufernan/S3L2Mosaicing
codes for JSTARS paper: Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
rufernan/PixelS3
codes for JSTARS paper: Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions
eunicewly/GEOL0069week4
The week 4 codes for GEOL0069
grammaloreto-archive/OceanColor
Chl-tsm with C2RCC processor (OLCI-Sentinel 3). SNAP Guide
jgomezdans/canada_datastore
Quick data visualisation of thermal data for airborne campaign planning