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

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

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
System: The UNT Digital Library
Selecting Inter-city Transportation Routes in Complex Terrains Using Quantitative Methods – A Case Study from Northern Yunnan, China (open access)

Selecting Inter-city Transportation Routes in Complex Terrains Using Quantitative Methods – A Case Study from Northern Yunnan, China

Article identifies inter-city transportation routes in complex terrains using quantitative methods in GIS.
Date: March 27, 2020
Creator: Dong, Pinliang; Xia, Jisheng & Zhao, Zhifang
System: The UNT Digital Library
Mapping forest height using photon-counting LiDAR data and Landsat 8 OLI data: A case study in Virginia and North Carolina, USA (open access)

Mapping forest height using photon-counting LiDAR data and Landsat 8 OLI data: A case study in Virginia and North Carolina, USA

Article is a study mapping forest height by combining photon-counting LiDAR data and Landsat OLI data.
Date: March 13, 2020
Creator: Pan, Feifei; Zhu, Xiaoxiao; Wang, Cheng; Nie, Sheng; Xi, Xiaohuan & Hu, Zhenyue
System: The UNT Digital Library
Using the Lonsdorf model for estimating habitat loss and fragmentation effects on pollination service (open access)

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

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
System: The UNT Digital Library
Extraction of Urban Objects in Cloud Shadows on the basis of Fusion of Airborne LiDAR and Hyperspectral Data (open access)

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

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: February 1, 2019
Creator: Man, Qixia & Dong, Pinliang
System: The UNT Digital Library