Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus

Online brower implementation of StoryFlow

Using machine learning to predict Georgia Tech bus arrival times

Toolbox for categorical time-series analysis.

Publishing and analysing time series on the Semantic Web with Matrix Profile techniques

This code repository is an attachment for the IGARSS 2023 proceeding paper: Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine".

Google Earth Engine tool to generate multi-modal and multi-temporal datasets, including spatially and temporally aligned Sentinel-1 SAR data, Sentinel-2 multispectral data, weather and DEM-based data. A supplementary material for Paluba et al. 2024: "Identification of Optimal Sentinel-1 SAR Polarimetric Parameters for Forest Monitoring in Czechia

Google Earth Engine offers a catalog of satellite imagery and geospatial datasets, a powerful API, and a code editor for geospatial analysis.

Using time-series ARIMA model to analyze the water quality from remote sensing satellite images data and raise public awareness through web development. Site deployed on netlify platform : https://skavithaqua.netlify.app

An interactive visual tool for time series analysis

MODIS NDVI data is processed to create a time series visualization for the Nyando catchment area within the Lake Victoria Basin.

This repository contains the source code for the server of the Time Series Prediction project.

personal Blog

Backend for Drive Analytics

A React/Flask application for displaying stock data fetched from IEX (EDIT: this no longer works due to the IEX API being deprecated)

Notebook for Applied Time Series Analysis Course.

In this repository, all the product are developed during participating my GIS Practicum course (Geog778).

COVID-19 has changed life as we know it. This deadly virus is an active crisis that is affecting people all over the globe leaving a large number of people unemployed. We are focusing on USA and India and aim to create a useful visualization about the spread and effects of COVID-19 in these countries.