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

• raoofnaushad / Land-Cover-Classification-using-Sentinel-2-Dataset
  Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …
  ☆92Updated last year
• Kalit31 / Land-Cover-Analysis
  Land Cover Change Detection using Satellite Image Segmentation.
  ☆50Updated 7 months ago
• nasaharvest / kenya-crop-mask
  Annual and in-season crop mapping in Kenya
  ☆24Updated 4 years ago
• r-wenger / land-use-land-cover-datasets
  List of datasets and codes for remote sensing LULC applications.
  ☆46Updated last year
• jonathanventura / urban-tree-detection
  ☆70Updated 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
• gicait / centroid-unet
  Centroid-UNet is deep neural network model to detect centroids from satellite images.
  ☆32Updated 3 years ago
• behzad89 / Enhancement_of_MODIS_NIDVI
  Enhancement of MODIS NIDVI to 10m resolution using U-Net
  ☆30Updated 2 years ago
• satellite-image-deep-learning / model-training-and-deployment
  Training and deployment of deep learning models for satellite & aerial imagery
  ☆62Updated this week
• gicait / DL-for-satellite-image-analysis
  This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
  ☆98Updated 3 years ago
• karimmamer / CropDetectionDL
  ☆52Updated last year
• diviningwater / Machine-Learning-Applications-in-Remote-Sensing-Data
  Farm Scale Soil Moisture using Remote Sensing and Water Budget Products
  ☆23Updated last year
• drivendataorg / stac-overflow
  Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition
  ☆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 …
  ☆45Updated 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
• 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
• agr-ayush / Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification
  LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…
  ☆59Updated 3 years ago
• chchang1990 / SAM_field_delineation
  Leveraging Segment-Anything Model (SAM) to delineate crop field boundaries on Sentinel-2 images
  ☆21Updated last year
• rudolfwilliam / satellite_image_forecasting
  Models for the EarthNet2021 challenge.
  ☆46Updated 10 months ago
• ridvansalihkuzu / hyperview_eagleeyes
  Soil parameter estimation from hyperspectral satellite images
  ☆26Updated 2 years ago
• AnnaXWang / deep-transfer-learning-crop-prediction
  Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.
  ☆65Updated 6 years ago
• ivanhykwong / Marine-Water-Quality-Time-Series-HK
  Analysis of Sentinel-2 satellite images using Google Earth Engine
  ☆27Updated 3 weeks ago
• SebastianHafner / DS_UNet
  [GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.
  ☆65Updated 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.
  ☆47Updated 4 years ago
• radiantearth / Nasa_harvest_field_boundary_competition
  ☆24Updated 2 years ago
• knwin / Building-Footprint-Extraction-From-Satellite-Images-With-Deep-Learning
  Practical Project for Semantic Segmentation of Building Footprint from Satellite Images
  ☆26Updated 3 years ago
• jonathanventura / urban-tree-detection-data
  Dataset for training and evaluating tree detectors in urban environments with aerial imagery
  ☆36Updated last year
• nasaharvest / cropharvest
  Open source remote sensing dataset with benchmarks
  ☆200Updated last year
• Doodleverse / segmentation_gym
  A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using http…
  ☆51Updated 2 weeks ago
• GeoAIAfrica / interactive_geospatial_mapping
  Intended for an AMLD 2024 workshop.
  ☆22Updated last year