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Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies
This article employs nighttime light (NTL) information as a proxy indicator of gross domestic product(GDP), and a future land use simulation model (FLUS) to simulate the land use patterns in Guangzhou from 2015 to 2018 and 2018 to 2035 by incorporating planning policies. This study demonstrates that NTL is a suitable and feasible proxy indicator of GDP for the land use simulations, providing a scientific basis for the development of urban planning and construction policy.
Date:
May 23, 2020
Creator:
Lao, Jieying; Wang, Cheng; Wang, Jinliang; Pan, Feifei; Xi, Xiaohuan & Liang, Lei
System:
The UNT Digital Library
Automatic Extraction of Grasses and Individual Trees in Urban Areas Based on Airborne Hyperspectral and LiDAR Data
This article proposes a three-dimensional (3D) vegetation extraction workflow to extract urban grasses and trees at individual tree level in urban areas using airborne LiDAR and hyperspectral data. Results suggest that two- and three-dimensional urban vegetation extraction could play a significant role in spatial layout optimization and scientific management of urban vegetation.
Date:
August 23, 2020
Creator:
Man, Qixia; Dong, Pinliang; Yang, Xinming; Wu, Quanyuan & Han, Rongqing
System:
The UNT Digital Library