ESA-PhiLab / PyRawSLinks
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/classificati…
☆87Updated 2 weeks ago
Alternatives and similar repositories for PyRawS
Users that are interested in PyRawS are comparing it to the libraries listed below
Sorting:
- Deep learning for Earth Observation☆54Updated last year
- ☆60Updated last year
- A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…☆51Updated 3 months ago
- Training and deployment of deep learning models for satellite & aerial imagery☆63Updated 3 months ago
- A Python package for Remote Sensing Data Analysis☆126Updated last year
- GeoPatch is a package for generating patches from remote sensing data☆55Updated 3 months ago
- Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.☆98Updated 8 months ago
- Earth observation framework for scaled-up processing in Python☆46Updated 2 months ago
- OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.☆106Updated 2 weeks ago
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆48Updated last year
- ☆74Updated last year
- An ecosystem of data, models and code pipelines to tackle flooding with ML🌊☆172Updated 3 months ago
- Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board☆55Updated 2 years ago
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆57Updated last week
- Hydro -- A Foundation Model for Water in Satellite Imagery☆57Updated 9 months ago
- Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Wo…☆39Updated 2 years ago
- ☆32Updated 10 months ago
- Resources for the GRSS IADF School 2023: Label-efficient Deep Learning in Remote Sensing☆12Updated 2 years ago
- Sensor Independent Cloud and Shadow Masking with Ambiguous Labels and Multimodal Inputs☆43Updated last year
- Earth Observation Data Analysis Library☆99Updated 7 months ago
- End-to-end workflow for generating high resolution cropland maps☆109Updated last month
- Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.☆159Updated last year
- A toolkit that enables building damage assessments from remotely sensed imagery.☆138Updated last month
- A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments☆221Updated this week
- On-Demand Earth System Data Cubes (ESDCs) in Python☆196Updated 6 months ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆105Updated last year
- This repository contains the classification module of the WorldCereal system.☆75Updated this week
- Examples of Earth observation workflows that extract valuable information from satellite imagery, giving you hints and ideas how to use t…☆51Updated 4 months ago
- Create time-series datacubes for supervised machine learning with ICEYE SAR images.☆84Updated 3 years ago
- ☆68Updated 3 months ago