739 Open source projects that are alternatives of or similar to Awesome Satellite Imagery Datasets

Google Earth Engine side projects and tutorial scripts

Earth Observation Data Access Gateway

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

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

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

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

Xarray backend to Copernicus Sentinel-1 satellite data products

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

Awesome Spectral Indices in Python.

This is an collection of blog posts turned into a course format

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

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

Forecasting wildfire danger using deep learning.

Examples for a blog series on Geospatial Julia using ArchGDAL

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

To help quickstart impact work with Satellogic [hyperspectral] data

Blazing Fast JavaScript Raster Processing Engine

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

A Simple and Versatile Framework for Object Detection and Instance Recognition

Siamese Mask R-CNN model for one-shot instance segmentation

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

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

mmdetection源码注释

Detectorch - detectron for PyTorch

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

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

Search and download Copernicus Sentinel satellite images

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset

A python package that extends Google Earth Engine.

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

Search, download, and preprocess Landsat imagery 🛰️

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

Very simple API to download Landsat [1-5, 7, 8] data from Google

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

Detect container ships in Planet imagery using machine learning

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

A General Toolbox for Identifying Object Detection Errors

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Copy-paste augmentation for segmentation and detection tasks

Data Preparation for Satellite Machine Learning

Satellite Stereo Pipeline

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

interactive notebooks from Planet Engineering

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

Boundary-preserving Mask R-CNN (ECCV 2020)

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Mask R-CNN for object detection and instance segmentation on Pytorch

An open source framework for deep learning on satellite and aerial imagery.

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

Satellite imagery for dummies.

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator