Pinliang Dong

Previous Scheduled Teaching

Published Intellectual Contributions

Book

• Dong, P. (2024). Wang, C., Yang, X., Xi, X., Nie, S., Dong, P. Introduction to LiDAR Remote Sensing. CRC/Taylor & Francis, 2024..
• Dong, P., Chen, Q. (2018). Dong, P., and Chen, Q., 2018. LiDAR Remote Sensing and Applications. CRC Press/Taylor & Francis Group..

Book Chapter

• Dong, P. (2011). Dong, P. and Lin, P., 2011. China: Teacher Preparation for GIS in the National Geography Curriculum. Book chapters in Milson, Demirci, and Kerski, eds. International Perspectives on Teaching and Learning with GIS in Secondary Schools. Springer..
• Dong, P. (1995).
• Dong, P. (1995).
• Dong, P. (1995).
• Dong, P. (1995).
• Dong, P. (1995).
• Dong, P. (1995).
• Dong, P. (1993).
• Dong, P. (1992).

Journal Article

• Dong, P. (2024). Duan, D., Deng, Y., Zhang, J., Wang, J., Dong, P., 2024. Influence of VF and SOR filtering methods on tree height inversion using UAV-LiDAR data. Drones 2024, 8(4), 119. https://doi.org/10.3390/drones8040119..
• Dong, P. (2024). Li, B., He, R., Dong, P., Tian, J., 2024. Comparison of convolutional neural network and support vector machine for identification of forest types and burned areas. Journal of Applied Remote Sensing..
• Dong, P. (2024). Luan, G., Zhao, F., Xia, J., Huang, Z., Feng, S., Song, C., Dong, P., Zhou, X., 2023. Analysis of long-term spatio-temporal changes of plateau urban wetland reveals the response mechanisms of climate and human activities: A case study from Dianchi Lake Basin 1993–2020. Science of the Total Environment. Volume 912, 2024..
• Dong, P. (2024). Rahimi, E., Dong, P., Ahmadzadeh, F., 2024. Assessing climate niche similarity between Persian fallow deer (Dama mesopotamica) areas in Iran. BMC Ecology and Evolution..
• Dong, P. (2024). Rahimi, E., Dong, P., Ahmadzadeh, F., 2024. Energy-based corridor identification for mammals between protected areas in Iran. Ecology and Evolution..
• Dong, P. (2024). Ray, N., Dong, P., South, J., Liang, L., 2024. Wind-urban structure interplay in PM2.5 variation: Insights from multi-seasonal mobile air quality campaign. Transactions in Urban Data, Science, and Technology. https://doi.org/10.1177/27541231241248858..
• Dong, P. (2024). Wu, J., Man, Q., Yang, X., Dong, P., Ma, X., Liu, C., Han, C., 2024. Fine classification of urban tree species based on UAV-based RGB imagery and LiDAR data. Forests, 15(2), 390; https://doi.org/10.3390/f15020390..
• Dong, P. (2023). Huang, P., Zhao, X., Pu, J., Gu, Z., Feng, Y., Zhou, S., Shi, X., Tang, Y., Dong, P., 2023. Linking random forest and auxiliary factors for extracting the major economic forests in the mountainous areas of southwestern Yunnan Province, China. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2023.110025..
• Dong, P. (2023). Isazade, V., Qasimi, A.B., Dong, P., Kaplan, G., Isazade, E., 2023. Spatio-temporal modeling of COVID-19 outbreak in Qom and Mazandaran provinces, Iran. Modeling Earth Systems and Environment (in press)..
• Dong, P. (2023). Ma, X., Man, Q., Yang, X., Dong, P., Yang, Z., Wu, J., Liu, C., 2023. Urban feature extraction within a complex urban area with an improved 3D-CNN using airborne hyperspectral data. Remote Sensing 15(4). https://doi.org/10.3390/rs15040992..
• Dong, P. Rahimi, E., Dong, P., 2023. Identifying barriers and pinch-points of large mammal corridors in Iran. Journal of Environmental Studies and Sciences 13:285–297..
• Dong, P. (2023). Rahimi, E., Jahandideh, M., Dong, P., Ahmadzadeh, F., 2023. Potential anthropogenic and climatic factors affecting Iran’s international wetlands. Journal of Environmental Studies and Sciences. https://doi.org/10.1007/s13412-023-00846-5..
• Dong, P. (2023). Tian, J., Dong, P., Xing, Y., Shan, W., Wang, Q., Li, D., 2023. Comparison between biophysical analysis model and dimidiate pixel model for the estimation of forest canopy density. Journal of Applied Remote Sensing Vol. 17. https://doi.org/10.1117/1.JRS.17.014518..
• Dong, P. (2022). Chang, Z., Dong, P., Yuan, R., Hou, J., Li, J., Chang, H. 2022. The 2014 northern Thailand Mw 6.1 earthquake and its seismogenic tectonics. Acta Geologica Sinica (English Edition), 2022, 96(2): 648–660..
• Dong, P. (2022). Mao, Z., Fan, L., Dong, P., 2022. Modeling distance uncertainties in two-dimensional space. Measurement. https://doi.org/10.1016/j.measurement.2022.111818.
• Dong, P. (2022). Rahimi, E., Dong, P., 2022. Estimating the pollination supply of urban green spaces to determine suitable areas for urban agriculture in the City of Tehran. Urban Ecosystems. https://doi.org/10.1007/s11252-022-01289-6. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. (2022). Rahimi, E., Dong, P., 2022. What are the main human pressures affecting Iran's protected areas? Journal of Environmental Studies and Sciences 12: 682-691. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. (2022). Wang, Y., Dong, P., Liao, S., Zhu, Y., Zhang, D., and Yin, N., 2022. Urban expansion monitoring based on the digital surface model—A case study of the Beijing–Tianjin–Hebei Plain. Applied Sciences, 2022, 12, 5312. https://doi.org/10.3390/app12115312.
• Dong, P. (2022). Zhang, J., Wang, J., Dong, P., Ma, W., Liu, Y., Liu, Q., Zhang, Z., 2022. Tree stem extraction from point-cloud data of natural forests based on geometric features and DBSCAN. Geocarto International. https://doi.org/10.1080/10106049.2022.2034988.
• Dong, P. (2022). Xia, J., Wang, Y., Dong, P., He, S., Zhao, F., Luan, G., 2022. Object-oriented canopy gap extraction from UAV images based on edge enhancement. Remote Sensing. 14(19), 4762; https://doi.org/10.3390/rs14194762.
• Dong, P. Rahimi, E., Barghjelveh, S., Dong, P., 2022. A comparison of discrete and continuous metrics for measuring landscape changes. Journal of the Indian Society of Remote Sensing, 50: 1257–1273. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. Rahimi, E., Barghjelveh, S., Dong, P., 2022. Amount, distance-dependent and structural effects of forest patches on bees in agricultural landscapes: A review. Agriculture & Food Security. 11(10), https://doi.org/10.1186/s40066-022-00360-x. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. Rahimi, E., Barghjelveh, S., Dong, P., 2022. A review of diversity of bees, the attractiveness of host plants and the effects of landscape variables on bees in urban gardens. Agriculture & Food Security. 11(6), https://doi.org/10.1186/s40066-021-00353-2. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. (2021). Dong, P., Xia, J., Zhong, R., Zhao, Z., Tan, S., 2021. A new method for automated measurement of sand dune migration based on multi-temporal LiDAR-derived digital elevation models. Remote Sensing, 13, 3084. https:// doi.org/10.3390/rs13163084..
• Dong, P. (2021). Liu, H., Dong, P., and Wu, C., Wang, P., Fang, M., 2021. Individual tree identification using a new cluster-based approach with discrete-return airborne LiDAR data. Remote Sensing of Environment 258: 112382..
• Dong, P. (2021). Pu, J., Zhao, X., Dong, P., Wang, Q., Yue, Q., 2021. Extracting information on rocky desertification from satellite images: A comparative study. Remote Sensing 13(13), 2497..
• Dong, P. (2021). Rahimi, E., Barghjelveh, S., Dong, P., 2021. Estimating potential range shift of some wild bees in response to climate change scenarios in northwestern regions of Iran. Journal of Ecology and Environment, 45(14), https://doi.org/10.1186/s41610-021-00189-8.. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. (2021). Rahimi, E., Barghjelveh, S., Dong, P., 2021. How effective are artificial nests in attracting bees? A review. Journal of Ecology and Environment, 45(16), https://doi.org/10.1186/s41610-021-00192-z. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. Rahimi, E., Barghjelveh, S., Dong, P., 2021. Using the Lonsdorf and ESTIMAP models for large-scale pollination mapping (case study: Iran). Environmental Resources Research, 9: 235-251, DOI: 10.22069/IJERR.2021.18872.1332.. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. (2021). Rahimi, E., Barghjelveh, S., Dong, P., 2021. Using the Lonsdorf model for estimating habitat loss and fragmentation effects on pollination service. Ecological Processes, 12. https://doi.org/10.1186/s13717-021-00291-8. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. (2021). Wu, Q., Zhong, R., Dong, P., Mo, Y., Jin, Y., 2021. Airborne LiDAR intensity correction based on a new method for incidence angle correction for improving land-cover classification. Remote Sensing, 13(3), 511; https://doi.org/10.3390/rs13030511.
• Dong, P. (2021). Wang, Y., Dong, P., Zhu, Y., Liao, S., and Shen, J., 2021. Geomorphic analysis of Xiadian buried fault zone in eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data. Geomatics, Natural Hazards and Risk, Vol. 12, No. 1, pp. 261-278..
• Dong, P. Rahimi, E., Barghjelveh, S., Dong, P., Pirlar, M.A., and Jahanbakhshian, M.M., 2021. PollMap: A software for crop pollination mapping in agricultural landscapes. Journal of Ecology and Environment, 45(27), https://doi.org/10.1186/s41610-021-00210-0.(I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. Rahimi, E., Barghjelveh, S., Dong, P., 2021. Quantifying how urban landscape heterogeneity affects land surface temperature at multiple scales. Journal of Ecology and Environment, 45(22), https://doi.org/10.1186/s41610-021-00203-z. (I am a co-advisor of E. Rahimi, doctoral student at the Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran)..
• Dong, P. (2020). Dong, P., Zhong, R., Xia, J., and Tan, S., 2020. A semi-automated method for extracting channels and channel profiles from lidar-derived digital elevation models. Geosphere, Vol.16, No.3, pp. 806-816..
• Dong, P. (2020). Hart, R., Liang, L., and Dong, P., 2020. Monitoring, mapping, and modeling spatial-temporal patterns of PM2.5 for improved understanding of air pollution dynamics using portable sensing technologies. International Journal of Environmental Research and Public Health. Vol. 17, No. 14, 4914; https://doi.org/10.3390/ijerph17144914..
• Dong, P. (2020). Liu, M., Dong, P., and Zhong, R., 2020. A rapid method for estimating the angle of repose and volume of grain piles using terrestrial laser scanning. Remote Sensing Letters, Vol. 11, No. 7, pp. 707-713..
• Dong, P. (2020). Man, Q., Dong, P., Yang, X., Wu, Q., and Han, R., 2020. Automatic extraction of grasses and individual trees in urban area based on airborne hyperspectral and LiDAR data. Remote Sensing,12(17), 2725; https://doi.org/10.3390/rs12172725..
• Hart, R., Liang, L., Dong, P. (2020). Monitoring, Mapping, and Modeling Spatial-Temporal Patterns of PM(2.5)for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies. International Journal of Environmental Research and Public Health. 17 (14)
• Dong, P. (2020). Wang, R., Shi, W., and Dong, P., 2020. Mapping dragon fruit croplands from space using remote sensing of artificial light at night. Remote Sensing, 12(24), 4139; https://doi.org/10.3390/rs12244139..
• Dong, P. (2020). Xia, J., Dong, P., and Zhao, Z., 2020. Selecting inter-city transportation routes in complex terrains using quantitative methods: A case study from Northern Yunnan, China. Promet - Traffic & Transportation. Vol. 32, No. 2, pp. 269-277..
• Dong, P. (2019). Peng, S., Xi, X., Wang, C., Dong, P., Wang, P., Nie, S.,2019. Systematic comparison of power corridor classification methods from ALS point clouds. Remote Sensing, 11, 1961; doi:10.3390/rs11171961...
• Dong, P. (2019). Wang, Y., Dong, P., and Liao, S., 2019. Geomorphic analysis of the Beijing Plain based on ZY3 DEM and SRTM data. Quaternary Sciences, Vol. 39, No., 5, pp. 1211-1221..
• Dong, P. (2019). Xia, J., Li, J., Dong, P., Yang, K., 2019. An ArcGIS add-in for spatiotemporal data mining in climate data. Earth Science Informatics, DOI: 10.1007/s12145-019-00404-0...
• Dong, P. (2019). Wang, C., Qin, H., Zhao, K., Dong, P., Yang, X., Zhou, G., Xi, X., 2019. Assessing the impact of the built- up environment on nighttime lights in China. Remote Sensing, 11, 1712; doi:10.3390/rs11141712..
• Dong, P. (2019). Dong, P., Sadeghinaeenifard, F., Xia, J., and Tan, S., 2019. Zonal lacunarity analysis: A new spatial analysis tool for geographic information systems. Landscape Ecology, Vol. 34, No. 10, pp. 2245-2249.. Landscape Ecology.
• Dong, P. (2019). Man, Q. and Dong, P., 2019. Extraction of urban objects in cloud shadows based on fusion of airborne LiDAR and hyperspectral data. Remote Sensing, 11, 713; doi:10.3390/rs11060713...
• Dong, P. Sadeghinaeenifard, F. and Dong, P., 2019. Comparison of longitude-latitude and Euclidean distance shape descriptors for determining tree crown shapes derived from LiDAR data. International Journal of Remote Sensing, Vol. 40, No. 22... International Journal of Remote Sensing.
• Dong, P. Xia, J., and Dong, P., 2019. Spatial characteristics of physical environments for human settlements in Jinsha river watershed (Yunnan section), China. Geomatics, Natural Hazards and Risk. Vol. 10., pp. 544-561..
• Liu, G., Wang, J., Dong, P., Chen, Y., Liu, Z. (2018). Liu, G., Wang, J., Dong, P., Chen, Y., and Liu, Z., 2018. Estimating individual tree height and diameter at breast height (DBH) from terrestrial laser scanning (TLS) data at plot level. Forests, 9(398)..
• Dong, P., Zhong, R., Yigit, A. (2018). Dong, P., Zhong, R., Yigit, A., 2018. Automated parcel-based building change detection using multitemporal airborne LiDAR data.. Surveying and Land Information Science.
• Dong, P. (2017). Dong, P., 2017. Automated accuracy assessment for ridge and valley polylines using high resolution digital elevation models. 13 (6) 2078-2084.
• Dong, P. (2017). Nie, S., Wang, C., Dong, P., Li, G., and Xi, X., Luo, S., and Qin, H., 2017. A novel model for terrain slope estimation using ICESat/GLAS waveform data.. PP (99) 1-11.
• Nie, S. (2017). Nie, S., Wang, C., Dong, P., Xi, X., Luo, S., and Qin, H., 2017. A revised progressive TIN densification for filtering airborne LiDAR data. Measurement. 104 70-77.
• Li, D. (2016). Li, D., Guo, H.D., Wang, C., Dong, P., and Zuo, Z., 2016. Improved bore-sight calibration for airborne LiDAR using planar patches.
• Nie, S. (2016). Nie, S., Wang, C., Dong, P., Xi, X., Luo, S., and Zhou, H., 2016. Estimating leaf area index of maize using airborne discrete-return LiDAR data.
• Xia, J., Dong, P. (2016). Xia, J., and Dong, P., 2016. A GIS add-in for automated measurement of sand dune migration using LiDAR-derived multi-temporal and high-resolution digital elevation models.
• Dong, P. (2015). Xia, J., Dong, P., and Tang, J., 2015. Efficient rendering of natural hazards data in mobile GIS. 7 (5) 1726-1730.
• Dong, P. (2015). Dong, P., 2015. Automated measurement of sand dune migration using multi-temporal LiDAR data and GIS. 36 (21) 5426-5447.
• Dong, P. (2015). Nie, S., Wang, C., Dong, P., and Xi, X., 2015. Estimating leaf area index of maize using airborne full-waveform LiDAR data. 7 (2) 111-120.
• Dong, P. (2015). Man, Q., Dong, P., and Guo, H.D., 2015. Pixel- and feature-level fusion of hyperspectral and LiDAR data for urban land use classification. 36 (6) 1618-1644.
• Dong, P. (2014). Liu, H., and Dong, P., 2014. A new method for generating canopy height models from discrete-return LiDAR point clouds. Remote Sensing Letters. (in press).
• Dong, P. (2014). Xiao, Y., Wang, C., Li, J., Zhang, W., Xi, X., Wang, C., and Dong, P., 2014. Building segmentation and modeling from airborne LiDAR data. International Journal of Digital Earth. (in press).
• Dong, P. (2014). Zheng, S., Dong, P., Wang, C., Xi, X., and Lu, Y., 2014. Lacunarity analysis of LiDAR point clouds for tree crowns. Remote Sensing of Land Resources. (in press).
• Dong, P. (2014). Man, Q., Guo, H., Liu, G., and Dong, P., 2014. Comparison of different methods for monitoring glacier changes observed by Landsat images. 17
• Dong, P. (2014). Dong, P., 2014. LiDAR data for characterizing linear and planar geomorphic markers in tectonic geomorphology. 4 (136)
• Dong, P. (2014). Liu, W., Dong, P., Liu, S., and Liu, J., 2014. A rich Internet application for automated detection of road blockage in post-disaster scenarios. 18
• Dong, P. (2014). Man, Q., Dong, P., and Guo, H.D., Liu, G., and Shi, R., 2014. LiDAR and hyperspectral data for estimation of forest biomass: A review. 8 (1)
• Dong, P. (2013). Dong, P., Wang, C., and Ding, J., 2013. Estimating glacier volume loss using digital elevation data, remotely sensed images and GIS modeling. International Journal of Remote Sensing. Vol. 34, No. 24, pp. 8881-8892..
• Dong, P. (2013). Liu, W., Dong, P., Liu, J.B., and Guo, H.D., 2013. Evaluation of three-dimensional shape signatures for automated assessment of post-earthquake building damage. Earthquake Spectra. Vol. 29, No. 3, pp. 897-910..
• Dong, P. (2013). Tang, S., Dong, P., and Buckles, B., 2013. Three-dimensional surface reconstruction of tree canopy from LiDAR point clouds using a region-based level set method. International Journal of Remote Sensing. Vol. 34, No. 4, pp. 1373-1385..
• Dong, P. (2012). Dong, P., 2012. Editorial: Applications of Light Detection and Ranging (LiDAR) in Geosciences. Journal of Geology and Geosciences. 1:e102. doi:10.4172/jgg.1000e102.
• Dong, P. (2012). Dong, P., and Guo, H.D., 2012. A framework for automated assessment of post-earthquake building damage using geospatial data. International Journal of Remote Sensing.Vol. 33, No. 1, pp. 81-100..
• Dong, P. (2012). Dong, P., and J. Liu, 2012. Hyperspectral image classification using support vector machines with an efficient principal component analysis scheme. Advances in Intelligent and Soft Computing. Vol. 122, pp. 131-140..
• Dong, P. (2012). Tang, S., Dong, P., Buckles, B.P., 2012. A new method for extracting trees and buildings from sparse LiDAR data in urban areas. Remote Sensing Letters. [formerly Research Letters in the International Journal of Remote Sensing ], Vol. 3, No. 3, pp. 211-219..
• Dong, P. (2012). Wolverton, S., Nagaoka, L., Dong, P., and Kennedy, J., 2012. On behavioral depression in white-tailed deer . Journal of Archaeological Method and Theory. Vol. 19, pp. 462-489..
• Dong, P. (2012). Zaragozí, B., Giménez, P., Navarro, J. T., Dong, P., Ramón, A.,2012. Development of free and opensource GIS software for cartographic generalization and occupancy area calculations, Ecological Informatics. Vol. 8, pp. 48-54..
• Dong, P. (2010). Dong, P., 2010. Sensitivity of LiDAR-derived three-dimensional shape signatures for individual tree crowns: A simulation study. Remote Sensing Letters. [formerly Research Letters in the International Journal of Remote Sensing ]. Vol. 1, No. 3, pp. 159-167..
• Dong, P. (2010). Dong, P., Ramesh, S., and Nepali, A., 2010. Evaluation of small area population estimation using LiDAR, Landsat TM and parcel data. International Journal of Remote Sensing. Vol. 31, No. 21, pp. 5571-5586..
• Dong, P. (2010). Tang, S., Dong, P., Buckles, B.P., 2010. Comparison of two classification methods for feature extraction from LiDAR data in urban areas. The 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'10). Las Vegas, USA. July 12-15, 2010. pp. 533-538. (peer-reviewed conference paper, acceptance rate: 28%)..
• Dong, P. (2009). Dong, P., 2009. Characterization of individual tree crowns using three-dimensional shape signatures derived from LiDAR data. International Journal of Remote Sensing. Vol. 30, No. 24, pp. 6621-6628..
• Dong, P. (2009). Dong, P., 2009. Lacunarity analysis of raster datasets and 1D, 2D, and 3D point patterns. Computers and Geosciences, Vol. 35, pp. 2100-2110..
• Dong, P. (2009). Yang, X., Huang, Y., Dong, P., Jiang, D., and Liu, H., 2009. An updating system for the gridded population database of China based on remote sensing, GIS and spatial database technologies. Sensors. Vol. 9, No. 2, pp. 1128-1140..
• Dong, P. (2008). Dong, P., 2008. Fractal signatures for multiscale processing of hyperspectral image data. Advances in Space Research, Vol. 41, pp. 1733-1743..
• Dong, P. (2008). Dong, P., 2008. Generating and updating multiplicatively weighted Voronoi diagrams for point, line and polygon features in GIS. Computers and Geosciences, Vol. 34, pp. 411-421..
• Dong, P. (2008). Huang, Y., Chen, C., and Dong, P., 2008. Modeling herds and their evolvements from trajectory data. GIScience 2008-the 5th International Conference on Geographic Information Science, Park City, Utah, September 23-26, 2008, pages 90-105. Lecture Notes in Computer Science 5266 Springer 2008, ISBN 978-3-540-87472-0..
• Dong, P. (2005). Dong, P., 2005, Development of a GIS/GPS Based Emergency Response System. Geomatica, Vol. 59, pp. 427-434. .
• Dong, P. (2005). Dong, P., 2005. Development of a GIS/GPS Based Emergency Response System. The 13th International Conference on Geoinformatics. Toronto, Canada. August 17-19, 2005..
• Dong, P. (2004). Dong, P., and Leblon, B., 2004, Rock unit discrimination on Landsat-TM, SIR-C and RADARSAT images using spectral and textural information. International Journal of Remote Sensing, Vol. 25, pp.3745-3768..
• Dong, P. (2000). Dong, P., 2000, Lacunarity for spatial heterogeneity measurement in GIS. Journal of Geographical Information Sciences, Vol. 6, pp. 20-26..
• Dong, P. (2000). Dong, P., 2000, Test of a new lacunarity estimation method for image texture analysis. International Journal of Remote Sensing. Vol. 21, pp. 3369-3373..
• Dong, P. (1997). Dong, P., 1997, Implementation of mathematical morphological operations for spatial data processing. Computers & Geosciences, Vol. 23, pp. 103-107..
• Dong, P. (1993).
• Dong, P. (1992).

Contracts, Grants and Sponsored Research

Grant - Research

• Dong, P. (Principal), Pan, F. (Co-Principal), Liang, L. (Co-Principal), "Multiscouce Remote Sensing Approach for Identifying Environmentally Sensitive Areas in Denton," sponsored by City of Denton, Local, $25000 Funded. (2023 - 2024).
• Dong, P. (Other), "Tree-level forests biomass estimation in Northwest Yunnan by combining ULS and TLS LiDAR point clouds (PI: Jinliang Wang, Senior Personnel: Pinliang Dong)," sponsored by National Natural Science Foundation of China, International, $57900 Funded. (2020 - 2023).
• Dong, P. (Principal), "International Research and Engagement in Yunnan, China (cancelled due to pandemic)," sponsored by University of North Texas, University of North Texas, $3000 Funded. (2019 - 2020).
• Dong, P. (Principal), "Yunnan University Collaboration Research Grant (to support research activities in Yunnan and visiting students at UNT)," sponsored by Yunnan University, China, International, $23807 Funded. (2018 - 2018).
• Dong, P. (Principal), "Automated extraction of dune morphometric parameters from LiDAR data," sponsored by Chinese Academy of Sciences, International, $12903 Funded. (2016 - 2017).
• Dong, P. (Other), "Tree-level forests biomass estimation in Northwest Yunnan by combining ULS and TLS LiDAR point clouds (PI: Jinliang Wang, Senior Personnel: Pinliang Dong)," sponsored by National Natural Science Foundation of China, International, Funded. (2020 - 2023).
• Dong, P. (Principal), "Yunnan University Collaboration Research Grant (to support research activities in Yunnan and visiting students at UNT)," sponsored by Yunnan University, China, International, Funded. (2018 - 2018).

Grant - Service

• Tiwari, C. (Principal), Dong, P. (Principal), "Justice for Sexual Assault Survivors," sponsored by City of Denton, LG, Funded. (2019 - 2022).