Alternatives and similar repositories for marine_debris_ML

Users that are interested in marine_debris_ML are comparing it to the libraries listed below

• radiantearth / ml4eo-bootcamp-2021
  Machine Learning for Earth Observation Training of Trainers Bootcamp
  ☆100Updated 3 years ago
• nasaharvest / openmapflow
  Rapid map creation with machine learning and earth observation data.
  ☆72Updated 5 months ago
• marine-debris / marine-debris.github.io
  Quick Start Guide for MARIDA (Marine Debris Archive)
  ☆66Updated last year
• ytarazona / scikit-eo
  A Python package for Remote Sensing Data Analysis
  ☆126Updated 7 months ago
• Doodleverse / segmentation_gym
  A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…
  ☆48Updated last month
• isaaccorley / hydro-foundation-model
  Hydro -- A Foundation Model for Water in Satellite Imagery
  ☆56Updated 3 months ago
• cordmaur / SentinelDownloader
  SentinelDownloader is a high level wrapper to the SentinelSat api
  ☆32Updated 2 years ago
• nasaharvest / crop-mask
  End-to-end workflow for generating high resolution cropland maps
  ☆105Updated last month
• jonathanventura / urban-tree-detection
  ☆68Updated 11 months ago
• Open-EO / openeo-community-examples
  A community-driven effort to make examples, user-defined processes and code snippets available in a single place.
  ☆44Updated 3 weeks ago
• tsdataclinic / PMLDataPipeline
  A pipeline for detecting macro-plastics in coastal waters using Sentinel 2 data
  ☆23Updated 4 months ago
• MarcCoru / meteor
  ☆57Updated 10 months ago
• sentinel-hub / eo-grow
  Earth observation framework for scaled-up processing in Python
  ☆44Updated 2 months ago
• ESA-PhiLab / OST_Notebooks
  ☆32Updated 4 months ago
• gicait / DL-for-satellite-image-analysis
  This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
  ☆95Updated 3 years ago
• Akramz / end-to-end-gee
  Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.
  ☆78Updated 3 years ago
• samapriya / Earth-Engine-Datasets-List
  List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)
  ☆83Updated this week
• ESA-PhiLab / NGVEO
  Deep learning for Earth Observation
  ☆54Updated 9 months ago
• ESA-PhiLab / floatingobjects
  ☆33Updated last year
• FrontierDevelopmentLab / sat-extractor
  Extract Satellite Imagery from public constellations at scale
  ☆77Updated 2 years ago
• SatelliteShorelines / CoastSeg
  An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The m…
  ☆62Updated last month
• wekeo / ai4EM_MOOC
  ☆46Updated 2 months ago
• bioinfoUQAM / Canadian-cropland-dataset-github
  This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…
  ☆43Updated last year
• sentinel-hub / field-delineation
  Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
  ☆154Updated last year
• souravbhadra / raster4ml
  A geospatial raster processing library for machine learning
  ☆124Updated last year
• karimmamer / CropDetectionDL
  ☆52Updated last year
• Agri-Hub / Deep-Learning-for-Cloud-Gap-Filling-on-Normalized-Difference-Vegetation-Index
  A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …
  ☆44Updated 11 months ago
• ydoherty / CoastSat.PlanetScope
  Batch shoreline extraction toolkit for PlanetScope Dove satellite imagery
  ☆51Updated 2 weeks ago
• EOA-team / eodal_notebooks
  Sample Jupyter notebooks for EOdal
  ☆40Updated last year
• krisrs1128 / glacier_mapping
  Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.
  ☆37Updated last year