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Land Inventory of Urban Agricultural Suitability in Detroit, MI

Authors: William DeLany*, University of Denver
Topics: Remote Sensing, Geographic Information Science and Systems, Agricultural Geography
Keywords: Urban Agriculture, Object Based Image Analysis, Remote Sensing
Session Type: Poster
Day: 4/8/2020
Start / End Time: 3:20 PM / 4:35 PM
Room: Virtual Track 3
Presentation File: No File Uploaded

Urban Agriculture (UA) is the practice of cultivating plants or animals within a city. UA represents an alternative land use for blighted land, has potential to impact food security, and has potential to create income for people who are engaged in it. UA has potential to greatly impact the city of Detroit, MI, due to the city’s high number of vacant properties, growing UA scene, and struggle with food security. Given the opportunities and needs within Detroit, I propose to create a replicable methodology for conducting a land inventory for UA suitability at the parcel-level within Detroit and use that dataset to create a web-based delivery system comprised of a searchable geodatabase and interactive web map. The web-delivery system will be referred to as the UA web map throughout this proposal. The methodology will consist of GIS analyzes to eliminate parcels before conducting an Object Based Image Analysis to classify land-cover types. This land-cover classification will be used to create a dataset which will then become part of the web-delivery system. The UA web map will be a free, open-source interface containing a searchable geodatabase and interactive web map, allowing users to freely and efficiently answer questions pertaining to UA suitability and food security in Detroit, MI.

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