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An interactive web app that enables users to plan for Landsat satellite imaging, providing satellite data and visualizations to help with Earth observation analysis by allowing them to select locations, view acquisition schedules, and access relevant Landsat Surface Reflectance (SR) data for informed planning and research.
This repo contains javascript code used in Google Earth engine to perform various Geospatial Data analysis tasks on satellite data. The code utilizes Google earth engines own archive of Satellite data.
This Repo holds a brief analysis on a Geospatial research project to assess vulnerability of Wetland Ecosytems by modelling their Vulnerability using landscape Metrics.
Using remote sensing data from Landsat, this project aims to identify areas in the ocean with favorable conditions for algae growth, indicating potential locations for kelp cultivation to capture carbon dioxide and mitigate climate change.
This app uses the Google Maps API in tandem with the NASA API to fetch the most recent LANDSAT 8 image of any location (address, city, state, country, landmark, etc.). The LANDSAT 8 satellite takes pictures of the entire earth every 16 days.
A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.