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m89j's Projects

amazon icon amazon

Repository for Amazon biome classification codes.

desire2download icon desire2download

Download all of the content from the University of Waterloo's Desire2Learn LMS

earth-engine-datasets-list icon earth-engine-datasets-list

List of all datasets included in Google Earth Engine (generated from https://developers.google.com/earth-engine/datasets/catalog/)

earthengine-py-notebooks icon earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

eobrowser icon eobrowser

The Earth Observation Browser is a search tool for Sentinel-1, -2, -3, Landsat 5, 7, 8, Modis and Envisat satellite imagery

fsh icon fsh

This software performs the automated forest height inversion and mosaicking from spaceborne repeat-pass L-band HV-pol InSAR correlation magnitude data (e.g. JAXA’s ALOS-1/2, and the future NASA-ISRO’s NISAR) that have been pre-processed by JPL’s ROI_PAC and/or ISCE programs.

gdal icon gdal

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

gdalcubes icon gdalcubes

Earth observation data cubes from GDAL image collections

gee-tutorials icon gee-tutorials

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

gee-vegetation-change icon gee-vegetation-change

Reproducible remote sensing analysis using Google Earth Engine (GEE) to identify vegetation change in Columbia.

gee_gwlr icon gee_gwlr

Geographically Weighted Logistic Regression in Google Earth Engine

geonode icon geonode

GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.

geoweaver icon geoweaver

a web system to allow users to automatically record history and manage complicated scientific workflows in web browsers involving the online spatial data facilities, high-performance computation platforms, and open-source libraries.

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