86 Open source projects that are alternatives of or similar to deep_typhoon

Core OSSIM (Open Source Software Image Map) package including C++ code for OSSIM library, command-line applications, tests, and build system

Decode satellite signals on Raspberry PI or any other 64-bit intel.

🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

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

Static website for viewing and analyzing GeoTIFF's in the browser

Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

A set of tools to use in Google Earth Engine Code Editor (JavaScript)

Display GeoTIFFs and soon other types of raster on your Leaflet Map

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

A Curated List of Python Resources for Earth Sciences

Satellite image time series in R

Search and download Copernicus Sentinel satellite images

A python package that extends Google Earth Engine.

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

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

Xarray backend to Copernicus Sentinel-1 satellite data products

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

Examples for a blog series on Geospatial Julia using ArchGDAL

Ground mobile data collection app for Android

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

Resources for deep learning with satellite & aerial imagery

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

Tools for Downloading, Customizing, and Processing Time Series of Satellite Images from Landsat, MODIS, and Sentinel

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)

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

TernausNetV2: Fully Convolutional Network for Instance Segmentation

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

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

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Google Earth Engine side projects and tutorial scripts

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Satellite Imagery Feature Detection (68 out of 419)

Global Forest Watch: An online, global, near-real time forest monitoring tool

A CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Earth Observation Data Access Gateway

A simple yet highly configurable bot that tweets geotagged aerial imagery of a random location in the world.

deck.gl layers and WebGL modules for client-side satellite imagery analysis

Satellite Stereo Pipeline

Awesome Spectral Indices in Python.

Satellite imagery for dummies.

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.

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Road and Building Segmentation in Satellite Imagery

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

Urban change model designed to identify changes across 2 timestamps

📡 Receive images from weather satellite GEO-KOMPSAT-2A (GK-2A).

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

Implementation of different techniques to find insights from the satellite data using Python.

Twitter bot that posts videos showcasing how random locations in the world have changed since 1984.

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

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

Road Detection from satellite images using U-Net.

A ninja python package that unifies the Google Earth Engine ecosystem.

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

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"