University of Connecticut

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Geography colloquium - Cindy Zhang

Friday, September 7, 2018
12:20pm – 1:15pm

Storrs Campus
AUST 434

Parcel-based urban land use classification in megacity using airborne LiDAR, high-resolution orthoimagery, and Google Street View.

Dr. Cindy Zhang, Professor and Department Head, Geography Department. Dr. Zhang is also affiliated with the Center for Environmental Sciences and Engineering (CESE)

Abstract: Urban land use information is increasingly important for a variety of purposes. With their increasing coverage and availability, airborne light detection and ranging (LiDAR) data, high resolution orthoimagery (HRO), and Google Street View (GSV) images are showing great potential for accurate land use classification. However, no study mapped land use in megacity using GSV-derived features or the three kinds of data together for land use classification. The main objectives of this study are (1) to test the performance of a parcel-based land use classification method using a Random Forest classifier with LiDAR data, HRO, and GSV images in a megacity, and (2) to explore the use of GSV in separating parcels of mixed residential & commercial buildings from other land use parcels.

Contact:

Scott Stephenson (stephenson@uconn.edu)

Geography Department (primary), Center for Environmental Science and Engineering, College of Agriculture, Health and Natural Resources, UConn Master Calendar

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