Alternatives and similar repositories for forestcasting

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

• 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 2 years ago
• isikdogan / deepwatermap
  a deep model that segments water on multispectral images
  ☆154Updated 2 years ago
• nasaharvest / kenya-crop-mask
  Annual and in-season crop mapping in Kenya
  ☆24Updated 4 years ago
• isaaccorley / hydro-foundation-model
  Hydro -- A Foundation Model for Water in Satellite Imagery
  ☆58Updated 10 months ago
• nasaharvest / crop-mask
  End-to-end workflow for generating high resolution cropland maps
  ☆110Updated 2 months ago
• xinluo2018 / WatNet
  A deep learning model for surface water mapping based on satellite optical image.
  ☆114Updated 4 years ago
• drivendataorg / stac-overflow
  Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition
  ☆52Updated 2 years ago
• mortcanty / CRC4Docker
  Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
  ☆110Updated 3 years ago
• MarcCoru / meteor
  ☆60Updated last year
• multiply-org / atmospheric_correction
  Sentinel 2 and Landsat 8 Atmospheric correction
  ☆38Updated last year
• Kalit31 / Land-Cover-Analysis
  Land Cover Change Detection using Satellite Image Segmentation.
  ☆52Updated last year
• michaeltrs / DeepSatData
  Automatically create machine learning datasets from satellite images
  ☆44Updated 3 years ago
• 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 …
  ☆48Updated last year
• ESA-PhiLab / phileo-bench
  Repo for testing foundation models
  ☆55Updated last year
• sauer3 / crop-classification
  Crop classification of fields in South Africa using multispectral imagery
  ☆18Updated 3 years ago
• rudolfwilliam / satellite_image_forecasting
  Models for the EarthNet2021 challenge.
  ☆45Updated 3 months ago
• Orion-AI-Lab / S4A
  Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
  ☆107Updated last year
• cordmaur / Sentinel1-Flood-Finder
  ML Flood Finder Package from Sentinel 1 (SAR) Imagery
  ☆34Updated last year
• lhalloran / LandSurfaceClustering
  Land surface classification using remote sensing data with unsupervised machine learning (k-means).
  ☆34Updated 6 years ago
• rramosp / geetiles
  download Google Earth Engine datasets to tiles as geotiff arrays
  ☆74Updated 9 months ago
• spaceml-org / RaVAEn
  Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board
  ☆56Updated 2 years ago
• sentinel-hub / eo-grow
  Earth observation framework for scaled-up processing in Python
  ☆45Updated 3 months ago
• mayrajeo / tree-detection-evo
  Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networ…
  ☆105Updated 3 years ago
• ellaampy / CropTypeMapping
  ☆36Updated 2 years ago
• IPL-UV / DL-L8S2-UV
  Cloud masking for Landsat-8 & Sentinel-2
  ☆35Updated 3 years ago
• DPIRD-DMA / OmniCloudMask
  OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
  ☆116Updated this week
• jonathanventura / urban-tree-detection
  ☆78Updated last year
• aliFrancis / SEnSeIv2
  Sensor Independent Cloud and Shadow Masking with Ambiguous Labels and Multimodal Inputs
  ☆43Updated last year
• AI4EO / enhanced-sentinel2-agriculture-challenge
  Starter-pack for the AI4EO Food Security Challenge
  ☆21Updated 2 years ago
• Servir-Mekong / sentinel-1-pipeline
  Sentinel 1 pipeline using SNAP GPT 7.0
  ☆39Updated 3 years ago