US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC): 1-m Pixel Land Cover Class Definitions and Guidance.

Andrew Pilant,Keith Endres,Daniel Rosenbaum,Gillian Gundersen

doi:10.3390/rs12121909

Abstract

This article defines the land cover classes used in Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset developed for 30 US communities for the United States Environmental Protection Agency (US EPA) EnviroAtlas. MULC data categorize the landscape into these land cover classes: impervious surface, tree, grass-herbaceous, shrub, soil-barren, water, wetland and agriculture. MULC data are used to calculate approximately 100 EnviroAtlas metrics that serve as indicators of nature's benefits (ecosystem goods and services). MULC, a dataset for which development is ongoing, is produced by multiple classification methods using aerial photo and LiDAR datasets. The mean overall fuzzy accuracy across the EnviroAtlas communities is 88% and mean Kappa coefficient is 0.84. MULC is available in EnviroAtlas via web browser, web map service (WMS) in the user's geographic information system (GIS), and as downloadable data at EPA Environmental Data Gateway. Fact Sheets and metadata for each MULC Community are available through EnviroAtlas. Some MULC applications include mapping green and grey infrastructure, connecting land cover with socioeconomic/demographic variables, street tree planting, urban heat island analysis, mosquito habitat risk mapping and bikeway planning. This article provides practical guidance for using MULC effectively and developing similar high resolution (HR) land cover data.

Highlights

Land cover (LC) data indicate the type, extent and configuration of the physical materials present at earth’s surface and are essential to informed, effective stewardship of community landscapes, supporting decision making that integrates ecological, social, and economic factors
The United States Environmental Protection Agency (US EPA) created EnviroAtlas, a collection of interactive geospatial tools and resources that allows users to explore the many benefits people receive from nature, often referred to as ecosystem goods and services (EGS) [1]
Meter-Scale Urban Land Cover (MULC) data and more than one hundred sustainability, health, and ecosystem goods and services metrics have been developed for 30 US communities

Summary

Introduction

Land cover (LC) data indicate the type, extent and configuration of the physical materials present at earth’s surface (e.g., vegetation, built surfaces) and are essential to informed, effective stewardship of community landscapes, supporting decision making that integrates ecological, social, and economic factors. Toward this integration, the United States Environmental Protection Agency (US EPA) created EnviroAtlas (www.epa.gov/enviroatlas), a collection of interactive geospatial tools and resources that allows users to explore the many benefits people receive from nature, often referred to as ecosystem goods and services (EGS) [1]. The size of the Ssmimaillleasrt dheigtehctaspblaetfieaaltureressovluatriioesn, d(eHpRen)dlianngdlacrgoevleyron(LthCe)sdpaectatraplraondduspctastiahlacvoentbraesetnofdtheevtealrogpeet d by otheraggaroinuspt ist,s tbraacnksglraotuenddt.oImMagUeLqCu,alaitnyd, diantceoarnpdoartamteodspihnetroicEcnovndiriotiAontlsaasr.e Talhsoesfeacetoxrtse.rnal sources are the UniveSrismitiylarohfiVghersmpaotinatl rSepsoaltuiatilonA(nHaRly) slaisndLcaobv,eSro(LnCo)mdataVpergodMuactps,htahvee SbteaetnedoefveIloowpead, bCyhoetshaepr eake

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