Explore @wri Open Source projects

World Resources Institute (@wri)

wri

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Location 🇺🇸 United States
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global-power-plant-database

A comprehensive, global, open source database of power plants

gfw

Global Forest Watch: An online, global, near-real time forest monitoring tool

sentinel-tree-cover

Image segmentations of trees outside forest

Jupyter Notebook

carbon-budget

Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally

gfw-mapbuilder

Template for the GFW Map Builder that is available through ArcGIS Online, as a stand-alone web application, & a library to build custom Forest Atlas web applications

UrbanLandUse

Characterizing urban land use with machine learning

Jupyter Notebook

demographic-identifier

Deep learning approach to identifying demographics and topics of tweets

Jupyter Notebook

aqueduct30_data_download

Make the Aqueduct 3.0 database available for download

Jupyter Notebook

rw-dynamicworld-cd

A repository holding code and example notebooks for change detection methodology for the Dynamic World Land Cover product.

Jupyter Notebook

mmdetection-satellite-dinov2

mmdetection-satellite-dinov2

Jupyter Notebook

gfw-fires-app

The Global Forest Watch Fires app

Aqueduct30Docker

Jupyter Notebook

raster2points

CLI to convert raster data to points (CSV or Pandas Dataframe)

ReservoirWatchHack

UrbanHeatMitigation

Estimating surface reflectivity for multiple urban areas in the United States using machine learning

Jupyter Notebook

charm-global-level

CHARM, a model that estimates the GHG impacts and land-use requirements of forestry

gfw-data-api

ev-simulator

Python code backing WRI technical note "Simulator to Quantify and Manage Electric Vehicle Load Impacts on Low-voltage Distribution Grids"

gfw_forest_loss_geotrellis

Global Tree Cover Loss Analysis using Geotrellis and SPARK

cities-urbanshift

Jupyter Notebook

natural-lands-map

Documentation for creating the Natural Lands Map for SBTN Target Setting

Aqueduct40

Aqueduct 4.0 data and methodology

Jupyter Notebook

gfw-raster-analysis-lambda

GFW Raster Analysis in AWS Lambda

retrieveR

A system for automating information retrieval from a corpus of documents

global-pasture-watch

gee_toolbox

A convenience module and command line tool for GEE.

aqueduct-components

Aqueduct components is a collection of React components shared with all Aqueduct tools.

wri-bounds

Country shapefiles and boundaries for WRI

gfw-analysis

gfw_pixetl

GFW ETL for raster tiles

gfw-sync2

Tools to manage pushing source data to the GFW Platform

gppd-ai4earth-api

A package for ML models that estimate plant-level annual generation

cities-cities4forests-indicators

Jupyter Notebook

gfw-tile-cache

GFW Tile Cache Service

ndc

Climate Watch Explore NDCs module. Full text of NDCs in HTML coding.

wri-scl-data-public

Systems Change Lab public data repository

fti_api

OPEN TIMBER PORTAL API

gfw-datapump

Nightly batch process to generate summary statistics for user AOIs

ForestAtlasToolbox

Python Toolbox to translate domains, dataset alias, field alias and subtypes and manage metadata

glad-raster-analysis-lambda

POC of using AWS Lambda + Rasterio for raster calculations on S3

cities-cif

Jupyter Notebook

gfw-places-to-watch

Generate new places to watch data when GLAD is updated

gfw-forestlearn

A repository to hold code and examples for binary classification and regression relating to two AI4Earth projects: Mapping Global Carbon Mitigation and Predicting Future Deforestation in the Congo Basin

Jupyter Notebook

MAPSPAM

Process MAPSPAM data and make available in additional formats.

Jupyter Notebook

cities-dataportal-hazards

Jupyter Notebook

wri-list-tools

Python tools for analyzing large data lists.

jurisdictional-risk

glad_tiles_pipeline

Pipeline for GLAD tile processing

wri-terramatch-website

README info goes here :)

zonal-stats-app

gfw-water

otp-observations-tool

dl_jobs

CLI and Helper modules for managing Descartes Labs Tasks

wri-terramatch-api

comms-dev-documentation

Documentation and notes for dev projects

tree_canopy_fcn

tree canopy predictions

hansen_ee_processing

scripts for post processing hansen data on ee

wri_sites

gfw-iac-workshop

Materials needed for exercises associated with a Terraform/Infrastructure as Code workshop for the World Resources Institute (WRI).

earth-dashboard

gfw-commodities-app

Global Forest Watch Commodities app

template-python

Template repository for python-based projects

wri-wpsi

The Water, Peace and Security partnership website

cities-indicators-dashboard-urbanshift

wri-odp

The WRI Open Data Portal

harvest-fires

harvest fires in the last 24 hours and upload to cartodb

gfw-mapbuilder-georspo

biomass_tiles

GFW Climate: Biomass tiles

gfw_forest_loss_geotrellis_arcpy_client

Arcpy client for GFW Forest Loss Analysis

cities-OpenUrban

GlobAgri-WRR-Expansion

cities-heat-workspace

Jupyter Notebook

odp_front_end

HTML, CSS, JavaScript code to build a workable UI for the GFW Open Data Portal

spotutil

CLI tool to create a spot worker on AWS and launch processes

gfw-components

React component library for the Global Forest Watch project

ira-eligibility-enhancements

agriadapt

Web app for physical climate risk tool.

policy-toolkit

Massively multitask fine tuning of roBERTa for policy priority identification in unstructured text

Jupyter Notebook

glad-data-management

Update GLAD sqlite database, CSV exports and country stats

gfw-country-pages-analysis-2

Enrich GLAD and Fire data with contextual information in Hadoop, upload results to GFW API

gfw-dockerfiles

GFW Dockerfiles

template-public-documentation

Template for MkDocs-based public documentation, including the deployment pipeline to host on GitHub Pages using GitHub Actions.

cities-climatehazards-warmingscenarios

Jupyter Notebook

landmark

cities-socio-economic-vulnerability

UrbanTreeCanopy

Jupyter Notebook

gfw-aws-core-infrastructure

Terraform module for GFW Core infrastructure on AWS

cities-indicators

Jupyter Notebook

basemaps

ocean-watch

The Ocean Watch open data platform delivers science to policy makers developing sustainable ocean economies and operationalizing integrated ocean management.

urban_extent

urban extents from built-up

Jupyter Notebook

Vetting_Retro_Analysis_Code

Code written in R to track the key factors in scoring that predicted applicant success

cities-thermal-comfort-modeling

Jupyter Notebook