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50 search results found

Techniques ⭐ 7,678

Techniques for deep learning with satellite & aerial imagery

Awesome Satellite Imagery Datasets ⭐ 3,381

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Robosat ⭐ 1,639

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Eo Learn ⭐ 1,064

Earth observation processing framework for machine learning in Python

Open Solution Mapping Challenge ⭐ 363

Open solution to the Mapping Challenge 🌎

Awesome_satellite_benchmark_datasets ⭐ 231

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.

Geospatial Machine Learning ⭐ 196

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Deep Learning for Satellite Imagery

Callisto Dataset Collection ⭐ 142

A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.

Skeyenet ⭐ 127

Road and Building Segmentation in Satellite Imagery

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

Ml4eo Bootcamp 2021 ⭐ 83

Machine Learning for Earth Observation Training of Trainers Bootcamp

Hyperspectral_image_analysis_simplified ⭐ 77

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Crop Type Detection Iclr 2020 ⭐ 62

Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020

Land Cover Classification Using Sentinel 2 Dataset ⭐ 58

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

Land Cover To Land Use Classification ⭐ 47

Satellite image processing pipeline to classify land-cover and land-use

Radiant Mlhub ⭐ 46

A Python client for the Radiant MLHub API (https://mlhub.earth).

Dubai Satellite Imagery Segmentation ⭐ 45

Multi-Class Semantic Segmentation on Dubai's Satellite Images.

Label Pixels ⭐ 42

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.

Downscale Satellitelst ⭐ 35

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

Deepdespeckling ⭐ 35

Unstructured Change Detection Using Cnn ⭐ 34

Unstructured Change detection in satellite imagery

Forecastveg ⭐ 34

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Waf_ml_tutorial_part1 ⭐ 33

Python code to assist in familiarizing meteorologists with machine learning

Data reader utilities for machine learning on satellite imagery and Earth science data

Weather4cast ⭐ 25

Code accompanying our IARAI Weather4cast Challenge

Lightweight Temporal Attention Pytorch ⭐ 23

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Planesnet Detector ⭐ 23

Detect airplanes in Planet imagery using machine learning

Ap Latam ⭐ 23

Detection of slums and informal settlements from satellite imagery

Mapflow Qgis ⭐ 22

Geoalert's public QGIS plugin for using Mapflow from inside QGIS.

Planesnet ⭐ 22

Labeled training data for detection of aircraft in Planet satellite imagery

Community Sprints ⭐ 19

This repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development

Shipsnet Detector ⭐ 19

Detect container ships in Planet imagery using machine learning

Orthoseg ⭐ 18

OrthoSeg makes it easy to train neural networks to segment orthophotos.

Python For Remote Sensing ⭐ 15

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Unmapped ⭐ 14

ConvNet finding unmapped roads in satellite imagery

Spaceapps Phenomena_detection ⭐ 12

Coastguard ⭐ 11

Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data

Frontlearning ⭐ 11

Using neural networks to identify glacier calving fronts from satellite imagery

Satsense ⭐ 10

Satsense is a Python library for land use/cover classification using satellite imagery

Satellite Imagery Road Extraction ⭐ 10

Developed a Software for semantic segmentation of remote sensing imagery using Fully Convolutional Networks (FCNs). Initially, this software developed for extracting the road network from high-resolution remote sensing imagery. And now, this software can be used to extract various features (Semantic segmentation of remote sensing imagery). This project can also extract from Vector Data. This is part of my Internship at ISRO (Indian SPace Research Organization)'s NRSC (National Remote Sensing Cen

Super Resolution for Satellite Imagery

Waf_ml_tutorial_part2 ⭐ 10

Python code to assist in familiarizing meteorologists with machine learning

Personal Blog ⭐ 9

📔 My personal blog contents.

Missing Pixel Filler ⭐ 7

missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.

Floating Marine Debris Data ⭐ 6

This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.

Machine Learning for Global Development Working Group

Remotesensing 14 03760 ⭐ 5

⛈️ Code for the paper "End-to-End Prediction of Lightning Events from Geostationary Satellite Images"

Semantic_segmentation_satellite_image ⭐ 5

This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images

S2cloudmask ⭐ 5

Sentinel-2 Cloud and Shadow Detection using Machine Learning

Marine Debris Ml Model ⭐ 5

Marine Debris Detection with Commercial Satellite Imagery and Deep Learning.

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