NASA-IMPACT / marine_debris_MLLinks
Marine debris detection with commercial satellite imagery and deep learning.
☆100Updated 3 years ago
Alternatives and similar repositories for marine_debris_ML
Users that are interested in marine_debris_ML are comparing it to the libraries listed below
Sorting:
- Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which cor…☆86Updated last year
- Machine Learning for Earth Observation Training of Trainers Bootcamp☆102Updated 3 years ago
- Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.☆159Updated last year
- ☆74Updated last year
- Earth observation framework for scaled-up processing in Python☆46Updated last month
- Examples of Earth observation workflows that extract valuable information from satellite imagery, giving you hints and ideas how to use t…☆49Updated 3 months ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆161Updated 2 years ago
- Rapid map creation with machine learning and earth observation data.☆76Updated 11 months ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆101Updated 4 years ago
- An ecosystem of data, models and code pipelines to tackle flooding with ML🌊☆172Updated 2 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
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆55Updated 2 weeks ago
- Download and access remote sensing data from any platform☆158Updated 2 years ago
- Water Detect Algorithm☆211Updated 5 months ago
- Collection of TensorFlow 2.0 code for Earth Observation applications☆94Updated 2 years ago
- Earth Observation Data Analysis Library☆99Updated 7 months ago
- 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
- AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.☆206Updated this week
- List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)☆84Updated this week
- An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The m…☆69Updated last month
- End-to-end workflow for generating high resolution cropland maps☆109Updated 2 weeks ago
- ☆32Updated 9 months ago
- Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.☆98Updated 7 months ago
- 📦🐍 Python package to model and forecast the risk of deforestation☆129Updated 2 months ago
- A geospatial raster processing library for machine learning☆125Updated last year
- A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments☆218Updated 2 weeks ago
- 🛰️ List of earth observation companies and job sites☆156Updated last year
- ☆60Updated last year
- OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.☆105Updated 2 weeks ago