Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies (open access)

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 (open access)

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
Changes in Deep Soil Water Content in the Process of Large-Scale Apple Tree Planting on the Loess Tableland of China (open access)

Changes in Deep Soil Water Content in the Process of Large-Scale Apple Tree Planting on the Loess Tableland of China

This article evaluates the effects of orchard development on deep soil water content (SWC) by using a meta-analysis of 162 sampling sites on the loess tableland from 44 peer-reviewed publications. The results showed that the deep SWC in orchards depended on stand age, planting density and annual precipitation.
Date: January 23, 2021
Creator: Wang, Yaping; Yan, Weiming; Han, Xiaoyang; Pan, Feifei; Cheng, Liping & Liu, Wenzhao
System: The UNT Digital Library
Object-Oriented Canopy Gap Extraction from UAV Images Based on Edge Enhancement (open access)

Object-Oriented Canopy Gap Extraction from UAV Images Based on Edge Enhancement

Article describes the efficient and accurate identification of canopy gaps is the basis of forest ecosystem research, which is of great significance to further forest monitoring and management. One major limitation of the traditional methods of remote sensing to map canopy gaps is that they cannot finely extract the complex edges of canopy gaps in mountainous areas. The authors proposed an object-oriented classification method that integrates multi-source information.
Date: September 23, 2022
Creator: Xia, Jisheng; Wang, Yutong; Dong, Pinliang; He, Shijun; Zhao, Fei & Luan, Guize
System: The UNT Digital Library