Classification of Sentinel-2 dataset using Gradient Tree Boost Classifier characterising Wetland Encroachment Potential for Tamil Nadu.
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Updated
Dec 2, 2021
Classification of Sentinel-2 dataset using Gradient Tree Boost Classifier characterising Wetland Encroachment Potential for Tamil Nadu.
rgee workshop applied to epidemiological studies ⚕️🌎🌍🌏. rgee is an R binding package for calling Google Earth Engine API from within R.
This repository contains the Google Earth Engine javascript (main code) and R file (pearson trend analysis test)
The repository analyzes EarthEngine App source codes provided by the ee-appshot (https://github.com/samapriya/ee-appshot) repository.
Half-hourly IMERG rainfall during landslide event
Projects created during my master's program in GIS at the University of Denver.
Extreme rainfall monitoring, will it trigger a flood?
This streamlit app provides an object and method filter which allows the users to quickly get to the app functionality they are interested in.
My personal website
Supplementary material for the article "Automatic classification of forests using Sentinel-2 multispectral satellite data and machine learning methods in Google Earth Engine"
A streamlit web app for mapping global surface water
An exploration of NDVI and wine quality using Google Earth Engine and geemap in a Jupyter notebook environment.
Extreme rainfall monitoring, will it trigger a flood?
This Repository contains scripts used to investigate carbon storage with remote sensing
Functions to assist with aligning samples collected at specific dates with remotely sensed data from as close to the same date as possible.
Monitoring water quality in the Santa Monica Bay using Landsat 8 OLI satellite data.
Easy access to administrative boundary defined by FAO GAUL from Python scripts
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