Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014 (open access)

Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014

Article examines the spatiotemporal characteristics of climate variables, such as humidity index, precipitation, and potential evapotranspiration (ET0) from 1961 to 2014 in the North China Plain (NCP).
Date: March 16, 2020
Creator: Dong, Wanlin; Li, Chao; Hu, Qi; Pan, Feifei; Bhandari, Jyoti & Sun, Zhigang
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
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
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