Global shoreline mapping tool from satellite imagery
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Updated
Jul 12, 2024 - Jupyter Notebook
Global shoreline mapping tool from satellite imagery
Code for generating satellite imagery optimised for marine environment using Google Earth Engine
Master Thesis Project on modelling Evapotranspiration with SEBAL
Fourier and wavelet transform application
Remote sensing data processing
Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A pure Julia package for querying and downloading Landsat data.
A sensor invariant Atmospheric Correction (SIAC)
Implementation of Watershed segmentation in Python using GDAL and Scikit-image
Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
SAme DAy SAtellite DAta Mosaics
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.
Sentinel 2 and Landsat 8 Atmospheric correction
NASA's visualization challenge project of the dynamic climate trends in the Los Glaciares National Park, Argentine. Leveraging Landsat 8/9 imagery from 2013 to 2024, the visual highlights warming temperatures and diminishing snow cover percentage.
Scripts to download images from the Landsat series sensors through the google earth engine API
Deep Learning based Cloud Segmentation in Satellite Imagery
Flask extension for Brazil Data Cube to collect satellite imagery from multiple providers.
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