1105 Open source projects that are alternatives of or similar to lightweight-temporal-attention-pytorch

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

MODIS Assimilation and Processing Engine

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

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

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"

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

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

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

Search and download Copernicus Sentinel satellite images

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

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

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

interactive notebooks from Planet Engineering

Google Earth Engine side projects and tutorial scripts

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

📡 Receive images from weather satellite Himawari-8 via HimawariCast.

GeoWombat: Utilities for geospatial data

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

A python package that extends Google Earth Engine.

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

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

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

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

Analyzes chronological patterns present in time-series data and provides human-readable descriptions

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

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

Detect container ships in Planet imagery using machine learning

To help quickstart impact work with Satellogic [hyperspectral] data

Data Preparation for Satellite Machine Learning

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

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

Satellite Stereo Pipeline

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

Anomaly detection tutorial on univariate time series with an auto-encoder

Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Code for Java Deep Learning Cookbook

Miami InSAR time-series software in Python

🛰️ Python library and CLI tools for processing geospatial imagery for ML

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

A Python interface to the 6S Radiative Transfer Model

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

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

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

A unified framework for machine learning with time series

Resources for working with time series and sequence data

Voice Activity Detection based on Deep Learning & TensorFlow

A machine learning toolkit dedicated to time-series data

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

Satellite image time series in R

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

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

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

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

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

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

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

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

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