Youchen Shen (co822ee)

co822ee

Geek Repo

Company:Utrecht University

Location:Utrecht, the Netherlands

Home Page:https://co822ee.github.io/youchenshen.github.io/

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Youchen Shen's repositories

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LUR_optimization

LUR optimization

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PCR-GLOBWB_error-correction

This includes all scripts and analysis results for the research where random forests are used to correct errors in PCR-GLOBWB discharge predictions.

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EXPANSE_algorithm

single-year APM.

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Awesome-GEE

A curated list of Google Earth Engine resources

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awesome-gis

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

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BioshareCNOSSOS_EU

CNOSSOS_EU Road Traffic Noise Model (modified)

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corona-ee-dashboard

A dashboard to visualize COVID19 outbreak dynamics

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earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

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ee-code-editor-archive

Unsorted archived Earth Engine scripts

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era5_in_gee

Functions and Python scripts to ingest ERA5 data into Google Earth Engine

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eu_roadTraffic

Modelling of road traffic noise and air pollution exposure for health studies requires detailed information on annual average daily traffic (AADT) flows on all roads. Europe-wide estimates on AADT are not publicly available, and thus, we aimed to fill this gap by building a model framework to estimate Europe-wide AADT.

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expanse_shp

Shp file for the EXPANSE study area

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geeup

Simple CLI for Google Earth Engine Uploads

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GeoMLA

Machine Learning algorithms for spatial and spatiotemporal data

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HMS-Smoke

HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product

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Minor_Roads

A method to estimate importance of minor roads for traffic flow. See Morley & Gulliver (2016) Methods to improve traffic flow and noise exposure estimation on minor roads. https://doi.org/10.1016/j.envpol.2016.06.042

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OpenGeoHub2020

course materials for OpenGeoHub2020

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tensorflow-eo-training

Deep learning with TensorFlow and earth observation data.

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