Techniques for deep learning with satellite & aerial imagery

Satellite imagery for dummies.

Global shoreline mapping tool from satellite imagery

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

Spatiotemporal Arrays, Raster and Vector Data Cubes

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

A python package that extends Google Earth Engine.

A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

Satellite Image Classification using semantic segmentation methods in deep learning

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

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

DeepGlobe Land Cover Classification Challenge遥感影像语义分割

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

crop classification using deep learning on satellite images

Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.

A curated list on building detection from remote sensing images

Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.

ParaView plugins

[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator

Awesome projects, papers, and tools for working with hyperspectral imagery

Image and Telemetry decoder for some amateurs satellites (geoscan, sputnix platforms...)

Dealing with Multiplatform Satellite Images from Landsat, MODIS, and Sentinel

How to use machine learning to find interesting places on satellite maps

Automatically create machine learning datasets from satellite images

Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.

Pre-trained VGG-Net Model for image classification using tensorflow

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

Detect water leaks from satellite images using machine learning

Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍