R Package for Working with Satellite Data from Various Providers (Copernicus, GoogleEarthEngine)
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Updated
May 14, 2024 - R
R Package for Working with Satellite Data from Various Providers (Copernicus, GoogleEarthEngine)
Downloads satellite images from Google Maps.
This repository contains the codes used to reconstruct SMAP Sea Surface Salinity observations in the Gulf Stream. The paper can be found here:
Javascript NMEA Parser
Tools for beach volumetric and behavioral dynamics monitoring from multitemporal UAV-SfM datasets.
Cubesat Sollarium website, presentation, data access, storage and preview.
Code written for fellow lab members at San Francisco State University to visualize sea surface temperature data at their field sites located throughout the San Francisco Bay area.
acquire satelital decode data C/N margin dB level
The purpose of this guide is to provide individuals, not necessarily scientists, who are looking for the kind of data, that will allow them to create, defend or even debunk Legislation & Polices concerning factors that affect AQ, with the help of CAMS.
A python package to provide easy access to the Arlula Satellite Imagery Archive
Monitoring the Water Quality in Bhopal Region Using Satellite Imagery and GIS Techniques
Code used for the completion of my thesis - Improving Flood Maps by Increasing the Temporal Resolution of Satellites Using Hybrid Sensor Fusion - Video Interpolation Networks
The "Drought Early Warning System's DataHub" (DEWS-DH) is a satellite datahub which is used to show and store satellite image data. Metrics like the NDVI or SMI are calculated on demand. The images are imported into a PostGIS database were they can be requested by third-party software for further processing.
Dashboard for satellite tracking
Bu proje K-Means Clustering kullanılarak Uydu Görüntüleri üzerinde cluster sayısının (k) en optimum şekilde belirlenmesinde k değeri önerisi yapma ve çok bandlı uydu görüntülerinin segmantasyonu amacıyla oluşturulmuştur.
International Space Station (ISS) Tracker app project
Study of the sea level variation using radar altimetry and tide gauges' data.
ME975 - Satellite Data Assimilation and Analysis - Assignment 2021/22
This repo showcases the use of nightlight satellite data as well as gganimate to create a timelapse nightlight map of Europe (1992-2020). For a tutorial please visit https://milospopovic.net/animated-hexbin-map-of-nightlight-in-europe/
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