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An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies

Description: Describes the development of a Spatial Population Updating System (SPUS) for updating the gridded population database of China based on remote sensing, GIS and spatial database technologies, with a spatial resolution of 1 km by 1 km.
Date: February 20, 2009
Creator: Yang, Xiaohuan; Huang, Yaohuan; Dong, Pinliang; Jiang, Dong & Liu, Honghui
Item Type: Refine your search to only Article
Partner: UNT College of Arts and Sciences
open access

Retreating Glaciers of the Himalayas: A Case Study of Gangotri Glacier Using 1990-2009 Satellite Images

Description: This paper discusses research on the spatial and temporal variation of the Gangotri Glacier, one of the largest glaciers in the Himalayas. The authors discuss how this influences the River Ganges and, consequently, the people of the Indian subcontinent.
Date: April 1, 2010
Creator: Ding, Jennifer & Dong, Pinliang
Item Type: Refine your search to only Paper
Partner: UNT Honors College
open access

A rich Internet application for automated detection of road blockage in post-disaster scenarios

Description: This paper presents the development of a rich Internet application for automated detection of road blockage in post-disaster scenarios using volunteered geographic information from OpenStreetMap street centerlines and airborne light detection and ranging (LiDAR) data.
Date: February 25, 2014
Creator: Liu, W.; Dong, Pinliang; Liu, S. & Liu, J.
Item Type: Refine your search to only Paper
Partner: UNT College of Arts and Sciences
open access

Comparison of different methods for monitoring glacier changes observed by Landsat images

Description: This paper presents three methods for classifying glacier boundaries, compares the three methods to provide advice on how to choose an appropriate method, and analyzes the relationship between glacier change and the trends of precipitation and temperature.
Date: March 18, 2014
Creator: Man, Qixia; Guo, Huadong; Liu, Guang & Dong, Pinliang
Item Type: Refine your search to only Paper
Partner: UNT College of Arts and Sciences
open access

LiDAR Data for Characterizing Linear and Planar Geomorphic Markers in Tectonic Geomorphology

Description: This paper provides a brief review of airborne light detection and ranging (LiDAR) data for characterizing linear and planar geomorphic markers in tectonic geomorphology, including traces of active faults and surface deformation caused by earthquakes. Challenges and opportunities of LiDAR for the study of tectonic geomorphology and coseismic deformation are also discussed.
Date: November 28, 2014
Creator: Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT College of Arts and Sciences
open access

Estimating Individual Tree Height and Diameter at Breast Height (DBH) from Terrestrial Laser Scanning (TLS) Data at Plot Level

Description: This article explores the methods of using terrestrial laser scanning (TLS) technology to obtain point cloud data and estimate individual tree height and diameter at breast height (DBH) at plot level in regions with complex terrain.
Date: July 4, 2018
Creator: Liu, Guangjie; Wang, Jinliang; Dong, Pinliang; Chen, Yun & Liu, Zhiyuan
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Spatial characteristics of physical environments for human settlements in Jinsha River watershed (Yunnan section), China

Description: Article examines the land in the Yunnan Jinsha River watershed to conduct an integrated analysis of environmental factors and human settlements and provides recommendations for urban planning, land use, and disaster management.
Date: January 10, 2019
Creator: Xia, Jisheng & Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT Libraries
open access

Extraction of Urban Objects in Cloud Shadows on the basis of Fusion of Airborne LiDAR and Hyperspectral Data

Description: This article, fused airborne LiDAR and hyperspectral data were used to extract urban objects in cloud shadows.The experimental results confirm that the proposed method is very effective for urban object extraction in cloud shadows and thus improve urban applications such as urban green land management, land use analysis, and impervious surface assessment.
Date: March 25, 2019
Creator: Man, Qixia & Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Assessing the Impact of the Built-Up Environment on Nighttime Lights in China

Description: Article describes study investigating the effects of the built-up environment on artificial light at night, focusing on construction region environments on nighttime brightness and variation with building heights and regional economic development level in China.
Date: July 19, 2019
Creator: Wang, Cheng; Qin, Haiming; Zhao, Kaiguang; Dong, Pinliang; Yang, Xuebo; Zhou, Guoqing et al.
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Systematic Comparison of Power Corridor Classification Methods from ALS Point Clouds

Description: Study examines factors that affect power corridor classification using LiDAR (light detection and ranging) point clouds, including the class distribution, feature selection, classifier type and neighborhood radius for classification feature extraction.
Date: August 21, 2019
Creator: Peng, Shuwen; Xi, Xiaohuan; Wang, Cheng; Dong, Pinliang; Wang, Pu & Nie, Sheng
Item Type: Refine your search to only Article
Partner: UNT College of Science
open access

A semi-automated method for extracting channels and channel profiles from lidar-derived digital elevation models

Description: Article introduces a semi-automated method for extracting stream channels and channel profiles from high-resolution digital elevation models (DEMs) using image processing techniques. The method is implemented as an ArcGIS Python add-in toolbar named Channel Extraction and demonstrated using a lidar-derived DEM in a study area along the San Andreas fault in California, USA.
Date: March 10, 2020
Creator: Dong, Pinliang; Zhong, Ruofei; Xia, Jisheng & Tan, Shucheng
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Description: This article maps the dynamics of PM2.5 concentrations at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus.
Date: July 8, 2020
Creator: Hart, Ronan; Liang, Lu & Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Automatic Extraction of Grasses and Individual Trees in Urban Areas Based on Airborne Hyperspectral and LiDAR Data

Description: 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
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Mapping Dragon Fruit Croplands from Space Using Remote Sensing of Artificial Light at Night

Description: Article using National Polar Partnership (NPP)-Visible Infrared Imaging Radiometer Suite (VIIRS) NTL remote sensing data to observe the seasonal variation of artificial lighting in dragon fruit cropland in Binh Thuan Province, Vietnam. The results suggest that the NTL remotely sensed data could be used to reveal some agricultural productive activities such as dragon fruits production accurately by monitoring the seasonal artificial lighting. This research demonstrates the application potential … more
Date: December 17, 2020
Creator: Wang, Ruirui; Shi, Wei & Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data

Description: This article presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Results can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities.
Date: January 19, 2021
Creator: Wang, Yanping; Dong, Pinliang; Zhu, Yueqin; Shen, Jun & Liao, Shunbao
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification

Description: This article considers positional shift and rotation angle deviation of the laser scanner and the inertial measurement unit (IMU) and presents a new method for calculating the incident angle based on the rigorous geometric measurement model for airborne light detection and range (LiDAR).
Date: February 1, 2021
Creator: Wu, Qiong; Zhong, Ruofei; Dong, Pinliang; Mo, You & Jin, Yunxiang
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Using the Lonsdorf model for estimating habitat loss and fragmentation effects on pollination service

Description: Article examining the effects of habitat loss and fragmentation on pollination separately according to the Lonsdorf model. Results show that the effects of habitat loss and fragmentation on pollination are completely different at the landscape and farm levels. This article shows that using the Lonsdorf model could lead to confusing results for the landscape ecologists and farmers who want to reduce the adverse effects of fragmentation on their products by creating new forest patches.
Date: March 22, 2021
Creator: Rahimi, Ehsan; Barghjelveh, Shahindokht & Dong, Pinliang
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Extracting Information on Rocky Desertification from Satellite Images: A Comparative Study

Description: This article uses three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT).
Date: June 26, 2021
Creator: Pu, Junwei; Zhao, Xiaoqing; Dong, Pinliang; Wang, Qian & Yue, Qifa
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

A New Method for Automated Measurement of Sand Dune Migration Based on Multi-Temporal LiDAR-Derived Digital Elevation Models

Description: This article proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data to overcome a major limitation of the existing method of pairs of source and target points (PSTP).
Date: August 6, 2021
Creator: Dong, Pinliang; Xia, Jisheng; Zhong, Ruofei; Zhao, Zhifang & Tan, Shucheng
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
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