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yangxhcaf's Projects

gears icon gears

Geospatial Ecology and Remote Sensing Lab

gee-ccdc icon gee-ccdc

Tools for CCDC on the Google Earth Engine

gee-ccdc-tools icon gee-ccdc-tools

Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm

gee_project icon gee_project

Data Science MSc Forestry Project using Google Earth Engine

geebulkfilter icon geebulkfilter

GEE API scripts to help bulk filter and pre-process remote sensing data. Applied to bulk retrieve and pre-process Landsat 8 SR imagery. Contains possible workarounds for minor bugs.

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

geemmm icon geemmm

This repository stores the code for the Google Earth Engine Mangrove Mapping Methodology. It is best used by following the links located in the ReadMe file. The GEEMMM is owned and managed by Blue Ventures Conservation.

geemonitor icon geemonitor

Google Earth Engine implementation of the popular R bfast package

geet icon geet

Google Earth Engine Toolbox - Library to write small EE apps or big/complex apps with a lot less code.

geeup icon geeup

Simple CLI for Google Earth Engine Uploads

geocompr icon geocompr

Forthcoming book on geographic data with R

geocube icon geocube

Tool to convert geopandas vector data into rasterized xarray data.

geomla icon geomla

Machine Learning algorithms for spatial and spatiotemporal data

geoscienceandremotesensing icon geoscienceandremotesensing

Here lies a repository for shared code amongst the Geoscience and Remote Sensing community. All are welcome to contribute and to use code

geoviews-geopython-2018 icon geoviews-geopython-2018

Material for my talk "Approaching geovisualization and remote sensing with GeoViews" @ GeoPython 2018.

getpixels icon getpixels

Grab time series of individual pixels from stacks of Landsat images and export as csv files

getspatialdata icon getspatialdata

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.

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