Alternatives and similar repositories for Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-Detection

Users that are interested in Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-Detection are comparing it to the libraries listed below

• Chintan2108 / Object-Oriented-Deep-Learning-for-Building-Extraction
  This repository explores object detection and building extraction from high resolution satellite imagery. With Object Based Image Analysi…
  ☆7Updated 4 years ago
• japhethkimeu / deforestation_detection_using_deep_learning
  Project on detecting deforestation using deep learning algorithms
  ☆13Updated 2 years ago
• Kalit31 / Land-Cover-Analysis
  Land Cover Change Detection using Satellite Image Segmentation.
  ☆50Updated 6 months ago
• radiantearth / model_ecaas_agrifieldnet_gold
  AgriFieldNet Model for Crop Detection from Satellite Imagery
  ☆19Updated 2 years ago
• r-wenger / land-use-land-cover-datasets
  List of datasets and codes for remote sensing LULC applications.
  ☆45Updated 10 months ago
• diviningwater / Machine-Learning-Applications-in-Remote-Sensing-Data
  Farm Scale Soil Moisture using Remote Sensing and Water Budget Products
  ☆23Updated last year
• gicait / centroid-unet
  Centroid-UNet is deep neural network model to detect centroids from satellite images.
  ☆32Updated 3 years 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
• aj1365 / DeepForest-Wetland-Paper
  Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.
  ☆15Updated 3 years ago
• digitalearthafrica / FAO_crop_boundary
  Scalable workflow for crop boundary delineation using pre-trained deep learning model
  ☆10Updated 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 …
  ☆45Updated last year
• nasaharvest / kenya-crop-mask
  Annual and in-season crop mapping in Kenya
  ☆22Updated 4 years ago
• AI4EO / enhanced-sentinel2-agriculture-challenge
  Starter-pack for the AI4EO Food Security Challenge
  ☆21Updated 2 years ago
• bragagnololu / UNet-defmapping
  This repository presents the product of my master's thesis, which uses UNet to map deforestation using Sentinel-2 Level 2A images.
  ☆19Updated 3 years ago
• Orion-AI-Lab / EfficientBigEarthNet
  Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification
  ☆64Updated 2 years ago
• karimmamer / CropDetectionDL
  ☆52Updated last year
• alessandrosebastianelli / SentinelDataDownloaderTool
  A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.
  ☆20Updated last year
• ntelo007 / road_detection_mtl
  Road Detection from Remote Sensing Imagery using Deep Learning Techniques
  ☆19Updated 2 years ago
• Charly-tian / global-cropland-mapping
  using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data
  ☆13Updated 5 years ago
• chchang1990 / SAM_field_delineation
  Leveraging Segment-Anything Model (SAM) to delineate crop field boundaries on Sentinel-2 images
  ☆21Updated last year
• waldeland / deep_learning_forest_monitoring
  Estimate vegetation height from satellite images using deep learning.
  ☆21Updated 3 years ago
• sriramelango / CNN-Mosquito-Detection
  NASA SEES (2021): CNN Mosquito Detection Research
  ☆12Updated 3 years ago
• ellaampy / CropTypeMapping
  ☆35Updated 2 years ago
• orion29 / Satellite-Image-Segmentation-for-Flood-Damage-Analysis
  Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.
  ☆43Updated 4 years ago
• Orion-AI-Lab / S4A
  Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
  ☆99Updated 7 months ago
• Earth-Intelligence-Lab / uncertainty-quantification
  ☆12Updated this week
• simon-donike / Remote-Sensing-SRGAN
  ☆21Updated last month
• philipperufin / eepypr
  ☆9Updated last year
• behzad89 / Enhancement_of_MODIS_NIDVI
  Enhancement of MODIS NIDVI to 10m resolution using U-Net
  ☆30Updated 2 years ago
• ankit13sharma / DeepLearningForLandUseLandCoverClassification
  ☆13Updated 4 years ago