Code Repository for my Final Project for Data Science Class
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Updated
Jun 18, 2019 - HTML
Code Repository for my Final Project for Data Science Class
Observing the expansion of the world's largest permafrost crater
Apresentação feita em R do meu estudo chamado "Are coexisting biomes in a heterogeneous tropical landscape alternative stable states?".
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.
Remote Sensing Data Fusion with Machine learning methods :An Instance of NDVI Sentinel and Landsat
Code for generating satellite imagery optimised for marine environment using Google Earth Engine
Kumbara: Inventory of Forest and Land Fires in Central Kalimantan Province 2014 - 2024 An application to visualise the severity of land fires using the NBR and dNBR methods and the potential level of land fires using Fire Information for Resource Management System (FIRMS) hotspot points in Central Kalimantan Province, Indonesia.
This repository contains a remote sensing project for Special Topics in Remote Sensing Lecture.
Contains python notebooks used for clipping of satellite data using Geojson AOI, calculating LST from Landsat 8 Images and Correlation analysis between CO and LST
This is the code used in my masters thesis research.
Use STAC API to Bulk Query NASA HLS Remote Sensing Data
This project is used to recognize flying aircraft from Landsat data
Implementation of Watershed segmentation in Python using GDAL and Scikit-image
Fourier and wavelet transform application
Deriving wavelength dependent parameters using relative spectral response (RSRs) for Landsat 8 and Sentinel 2.
Deep Learning based Cloud Segmentation in Satellite Imagery
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