176 Open source projects that are alternatives of or similar to starfm4py

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

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

Xarray backend to Copernicus Sentinel-1 satellite data products

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

Simple Baseline for the IEEE GRSS Data Fusion Contest 2020

Search, download, and preprocess Landsat imagery 🛰️

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

Google Earth Engine side projects and tutorial scripts

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

Forecasting wildfire danger using deep learning.

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

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

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

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

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

a deep model that segments water on multispectral images

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

Earth Observation Data Access Gateway

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

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

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

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

A Python package for delineating nested surface depressions from digital elevation data.

A Python interface to the 6S Radiative Transfer Model

Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.

Image fusion using Discrete Wavelet Transformation

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

LiCSBAS: InSAR time series analysis package using LiCSAR products

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Global shoreline mapping tool from satellite imagery

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

A collection of Earth Engine Apps created using geemap, voila, and heroku

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.

Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

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

To transform, project, visualize, and read Digital Elevation Models (ASTERGDEMv2.0 and EUDEMv1.1). [简单实用] 数字高程模型的变换、投影、可视化和读取。

Command-line runner for Google Earth Engine Playground scripts

Miami InSAR time-series software in Python

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)

Open source remote sensing analysis tool

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.

Satellite image time series in R

A collection of Python packages for geospatial analysis with binder-ready notebook examples

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

python Toolbox for the Evaluation of Soil Moisture Observations

WhiteboxTools Python Frontend

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

generate masks from Landsat and MODIS land product QA band

🌐 List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

Python&GAMMA based interfermetry toolbox for single or time-series of InSAR data processing.

Satellite Image Classification using semantic segmentation methods in deep learning

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