27 Open source projects that are alternatives of or similar to PSTCR

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

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

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

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Google Earth Engine application that finds Sentinel-2 images that are cloud-free in a particular area of interest.

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

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

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.

The STARFM fusion model for Python

SIAC GEE version

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

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

Summary of open source code for deep learning models in the field of traffic prediction

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

An R package for space-time anomaly detection using scan statistics.

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

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Visual Relation Grounding in Videos (ECCV'20, Spotlight)

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

Python scripts for creating time lapse videos and gifs from Sentinel-2 images

Urban change model designed to identify changes across 2 timestamps

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.

Cloud Removal for High-resolution Remote Sensing Imagery based on Generative Adversarial Networks.