152 Open source projects that are alternatives of or similar to Pyint

Open Data Cube analyses continental scale Earth Observation data through time

Distributed Scalable Geospatial Data Server

An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.

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

Data Preparation for Satellite Machine Learning

An interactive GUI for WhiteboxTools in a Jupyter-based environment

MODIS Assimilation and Processing Engine

Forecasting wildfire danger using deep learning.

使用deeplab_v3模型对遥感图像进行分割

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

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.

Rotational region detection based on Faster-RCNN.

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

Remote Sensing for Movement Ecology

a deep-learning-based river centerline extraction model

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

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

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

A python package that extends Google Earth Engine.

interactive notebooks from Planet Engineering

Google Earth Engine side projects and tutorial scripts

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).

GeoWombat: Utilities for geospatial data

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

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

A python library for geo-spatial processing and machine learning

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

The back-end of cross-modal retrieval system，wihch will contain services such as semantic location .etc

trends.earth - measure land change

Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery

Detect container ships in Planet imagery using machine learning

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

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

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

A repository of custom scripts to be used with Sentinel Hub

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

An open-source semi-automated processing chain for urban OBIA classification.

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

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

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

This program gets your external, & internal, IP addresses, checks them against your "saved" IP addresses and, if a difference is found, emails you the new IP(s). This is useful for servers at residential locations whose IP address may change periodically due to actions by the ISP.

List of datasets, codes, and contests related to remote sensing change detection

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

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

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

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

Hyperspectral image processing library

Tools for detecting deforestation and forest degradation

Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission

Python module for hyperspectral image processing

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Search and download Copernicus Sentinel satellite images

Deep networks for Earth Observation

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

The implementation of FDCNN in paper - A Feature Difference Convolutional Neural Network-Based Change Detection Method

We’ve built a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software. No knowledge of installation steps needed, just download and get started with SAR data processing. SARbian is free for use in research, education or operational work.