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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
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages

Description: This article evaluates the targeting strategy of a national-level program in Mexico that distributed agricultural support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. The findings highlight the continued lack of financial support for smallholder agriculture in Mexico, despite program rules and priority statements that stress the vulnerability of this sector. The article also illustrates the important role of spatial targeting in… more
Date: July 15, 2021
Creator: LaFevor, Matthew C.; Ponette-González, Alexandra G.; Larson, Rebecca & Mungai, Leah M.
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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
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Fertility knowledge, contraceptive use and unintentional pregnancy in 29 African countries: a cross-sectional study

Description: Article examines the association between incorrect knowledge of ovulation and unintentional pregnancy/child among young women in sub-Saharan Africa countries.
Date: April 9, 2020
Creator: Oppong, Joseph R.; Iyanda, Ayodeji Emmanuel; Dinkins, Barbara J.; Osayomi, Tolulope; Adeusi, Temitope Joshua & Lu, Yongmei
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies

Description: 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
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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
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils

Description: Article asserts that urban tree canopies are a significant sink for atmospheric elemental carbon (EC)--and air pollutant that is a powerful climate-forcing agent and threat to human health. The authors' findings indicate that complex configurations of roads, buildings, and vegetation produce “urban edge trees” that contribute to heterogeneous EC deposition patterns across urban systems, with implications for greenspace planning.
Date: September 27, 2022
Creator: Ponette-González, Alexandra G.; Chen, Dongmei; Elderbrock, Evan; Rindy, Jenna E.; Barrett, Tate E.; Luce, Brett W. et al.
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Partner: UNT College of Science
open access

Accumulator, Transporter, Substrate, and Reactor: Multidimensional Perspectives and Approaches to the Study of Bark

Description: This article is a short review that explores different perspectives and approaches to the study of bark and what they reveal about the myriad ways bark surfaces influence the quality of sub-canopy precipitation.
Date: August 5, 2021
Creator: Ponette-González, Alexandra G.
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Estimating potential range shift of some wild bees in response to climate change scenarios in northwestern regions of Iran

Description: Article investigating the impact of climate change on distributional and habitat quality changes of five wild bees in northwestern regions of Iran under two representative concentration pathway scenarios (RCP 4.5 and RCP 8.5). This study uses species distribution models to predict the potential range shift of these species in the year 2070.
Date: August 14, 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

Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions☆

Description: Article describes how there is a growing need to apply geospatial artificial intelligence analysis to disparate environmental datasets to find solutions that benefit frontline communities. This research addresses these challenges by leveraging a strategically deployed, extensive low-cost sensor (LCS) network that was rigorously calibrated through an optimized neural network.
Date: May 18, 2023
Creator: Liang, Lu; Daniels, Jacob; Bailey, Colleen; Hu, Leiqiu; Phillips, Ronney & South, John
Item Type: Refine your search to only Article
Partner: UNT College of Science
open access

Linking random forest and auxiliary factors for extracting the major economic forests in the mountainous areas of southwestern Yunnan Province, China

Description: Article describes how forests are generally extracted from remotely sensed images based on the spectral features, ignoring other important auxiliary information, and the techniques of precise extraction need to be further improved. By using the Sentinel–2 image and auxiliary factors (AFs) including site conditions (SCs) and vegetation indices (VIs), the random forest model with AFs (RF–AFs) was adopted for the extraction of the economic forests in Lancang County, which is a mountainous area wit… more
Date: February 24, 2023
Creator: Huang, Pei; Zhao, Xiaoqing; Pu, Junwei; Gu, Zexian; Feng, Yan; Zhou, Shijie et al.
Item Type: Refine your search to only Article
Partner: UNT College of Science
open access

The utility of zooarchaeological data to guide listing efforts for an imperiled mussel species (Bivalvia: Unionidae: Pleurobema riddellii)

Description: Article presents research that demonstrates Pleurobema riddellii, Louisiana Pigtoe, was likely present in the Trinity River basin during the late Holocene, which indicates questions about its taxonomic validity or presence in this basin are unfounded.
Date: July 22, 2020
Creator: Wolverton, Steven J.; Randklev, Charles R.; Johnson, Nathan A.; Smith, Chase H.; DuBose, Traci P.; Robertson, Clinton R. et al.
Item Type: Refine your search to only Article
Partner: UNT College of Liberal Arts & Social Sciences
open access

Soil Erosion Vulnerability Mapping in Selected Rural Communities of uThukela Catchment, South Africa, Using the Analytic Hierarchy Process

Description: Article presents a study (i) assessing and modeling soil erosion vulnerability based on the Analytic Hierarchy Process (AHP) approach in Hoffenthal and KwaMaye communities within the uThukela Catchment, South Africa; and (ii) identifying the relevant sustainable interventions and remedial strategies to combat soil erosion in the study area.
Date: May 13, 2022
Creator: Ebhuoma, Osadolor; Gebreslasie, Michael; Ngetar, Njoya Silas; Phinzi, Kwanele & Bhattacharjee, Shwarnali
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Estimating landscape structure effects on pollination for management of agricultural landscapes

Description: Article estimating the effects of different scenarios of forest fragmentation to find an optimized pattern of forest patches for increasing pollination in an agricultural landscape. The authors use simulated agricultural landscapes and landscape metrics to estimate the relationship between pollination and landscape structure.
Date: September 7, 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

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

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
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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
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Partner: UNT College of Liberal Arts & Social Sciences
open access

Evaluating spatial patterns of seasonal ozone exposure and incidence of respiratory emergency room visits in Dallas-Fort Worth

Description: This article examines the relationships between spatial patterns of long-term ozone exposure and respiratory illness within Dallas-Fort Worth to better understand impacts on health outcomes.
Date: April 13, 2021
Creator: Northeim, Kari; Marks, Constant & Tiwari, Chetan
Item Type: Refine your search to only Article
Partner: University of North Texas
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