Publications

 

  1. Jahangeer J., Zhang, L., Tang, Z., 2023, Evaluating Wetland Hydrological Performance under Three Different Conservation Programs in Nebraska, U.S.A. During 2018-2021, Journal of the American Water Resources Association (JAWRA)http://doi.org/10.1111/1752-1688.13160   
  2. Jahangeer J., Zhang, L., Tang, Z., 2024, Assessing Salinity Dynamics of Saline Wetlands in Eastern Nebraska using Continuous Data from Wireless Sensors,  The ASCE's Journal of Hazardous, Toxic, and Radioactive Waste,  28(1): 04023035. https://doi.org/10.1061/JHTRBP.HZENG-1263
  3. Qiu, B., Hu, X., Yang, P., Tang, Z., Wu, W., Li, Z., 2023, A robust approach for large-scale cropping intensity mapping in smallholder farms from vegetation, brownness indices and SAR time series, ISPRS Journal of Photogrammetry and Remote Sensing, 203:328-344. https://doi.org/10.1016/j.isprsjprs.2023.08.007
  4. Qiu, B., Lin, D., Chen, C., Yang, P., Tang, Z., Jin, Z., Ye, Z., Zhu, X., Duan, M., Huang, H., Zhao, Z., Xu, W., Chen, Z., 2022, From cropland to cropped field: A robust algorithm for national-scale mapping by fusing time series of Sentinel-1 and Sentinel-2, International Journal of Applied Earth Observation and Geoinformation, 113: 103006.
  5. Qiu, B., Hu, X., Chen, C., Tang, Z., Yang, P., Zhu, X., Yan, C., Jian, Z., Maps of cropping patterns in China during 2015–2021, Scientific Data, 9:479  https://doi.org/10.1038/s41597-022-01589-8
  6. Zhang, L., Hu, Q., Tang, Z., 2022, Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018–2021, Remote Sensing, 14, 4382. https://doi.org/10.3390/rs14174382
  7. Zhang, L., Hu, Q., Hayes, M., Burbach, M., Messer, T., Zhou, Y., Tang, Z.,  2022,   Evaluating Nebraska’s Local Comprehensive Plans to Achieve the National Wetland Conservation Missions in the USA, Ecosystem Health and Sustainability, 8(1): https://doi.org/10.1080/20964129.2022.2070550
  8. Qiu, B., Ye, Z., Chen, C., Tang, Z., Chen, Z., Huang, H., Zhao, Z., Xu, W., Berry, J., 2022, Dense canopies browning overshadowed by global greening dominant in sparse canopies, Science of the Total Environment, 826: 154222.
  9. Zhang, L., Hu. Q., Tang, Z., 2022, Assessing the Contemporary Status of Nebraska’s Eastern Saline Wetlands by Using a Machine Learning Algorithm on the Google Earth Engine Cloud Computing Platform, Environmental Monitoring and Assessment, 194:193, https://doi.org/10.1007/s10661-022-09850-8
  10. Hu, Q., Woldt, W., Neale, C., Zhou, Y., Drahota, J., Varner, D., Bishop, A., LaGrange, T., Zhang, L., Tang, Z., 2021, Utilizing unsupervised learning, multi-view imaging, and CNN-based attention facilitates cost-effective wetland mapping, Remote Sensing of Environment, 267: 112757, https://doi.org/10.1016/j.rse.2021.112757
  11. Qiu, B., Jiang, F., Chen, C., Tang, Z., Wu, W., Berry, J., 2021, Phenology-pigment based automated peanut mapping using sentinel-2 images, GIScience & Remote Sensing, https://doi.org/10.1080/15481603.2021.1987005
  12. Li, R., Rahaman, M.M., Tang, Z., Zhao, L., 2021, Assessing Social Media Communications of Local Governments in Fast-Growing U.S. Cities, The Professional Geographer, DOI: 10.1080/00330124.2021.1933547
  13. Wang, L., Zhou, Y., Hu, Q., Tang, Z., Ge, Y., Smith, A., Awarda, T., Shi, Y., 2021, Early Detection of Encroaching Woody Juniperus virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms, Remote Sensing, 2021, 13, 1975, https://doi.org/10.3390/rs13101975 
  14. Qiu, B., Yan, X.,, Chen, C., Tang, Z., Wu, W., Xu, Wei, Zhao, Z., Yan, C., Berry, J., Huang, W., Chen, F., 2021, The Impact of Indicator Selection on Assessment of Global Greening, GISsicence & Remote Sensing,   https://doi.org/10.1080/15481603.2021.1879494
  15. Smith, KH., Tyre, AJ, Tang, Z., Hayes, MJ, Akyuz, FA, 2020, Calibrating Human Attention as Indicator Monitoring #drought in the Twittersphere, Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-19-0342.1
  16. Barrios, R., Akbariyeh, S., Liu, C., G, M., Kovalchuk, M., Li, X., Li, Y., Snow, D., Tang, Z., Gates, Bartelt-Hunt, S., 2020, Climate change impacts the subsurface transport of atrazine and estrone originating from agricultural production activities, Environmental Pollution, 265:115024.
  17. Qiu, B., Yan, X., Tang, Z., Chen, C., Li, H., Berry, J., 2020, Urban Expansion or Poor Productivity: Explaining Regional Differences in Cropland Abandonment in China during the Early 21st Century, Land Degradation & Development,  31: 2540–2551.
  18. Qiu, B., Li, H., Tang, Z., Chen, C., Berry, J., 2020, How Cropland Losses Shaped by Unbalanced Urbanization Process? Land Use Policy, 96: 104715
  19. Zhang, H., Tang, Z., Bishop, A., Drahota, J., LaGrange, T., Varner, D., 2020, Conservation Significantly Improves Wetland Conditions: Evaluation of Playa Wetlands in Different Conservation Status, Wetlands Ecology and Management, 28:85–102.
  20. Xue, Y., Tang, Z., Hu, Q., Drahota, J., 2020, Using the Electromagnetic Induction Survey Method to Examine the Depth to Clay Soil Layer (Bt horizon) in Playa Wetlands, Journal of Soils and Sediments, 20: 556–570.
  21. Deng, Y., Jiang W., Tang, Z., Lin Z., Wu, Z., 2019, Long-Term Changes of Surface Water Bodies in the Yangtze River Basin: Based on the Google Earth Engine Cloud Platform, Remote Sensing, 11(19):2213. https://doi.org/10.3390/rs11192213  
  22. Qiu, B., Li, H., Chen C., Tang Z., Zhang K., Berry, J., 2019, Tracking Spatial-temporal Landscape Changes of Impervious Surface Areas, Bare lands, and Inundation Areas in China during 2001-2017, Land Degradation & Development, 30:1802–1812. https://doi.org/10.1002/ldr.3352
  23. Dai, Z., Du, J., Tang, Z., Ou, S., Brody, S., Wei, W., Gao, J., 2019, Detection of Linkage between Solar and Lunar Cycles and Runoff of the World's Large Rivers, Earth and Space Science, 6: https://doi.org/10.1029/2018EA000541 
  24. Qiu, B., Huang, Y., Chen, C., Tang, Z., Zou, F., 2018, Mapping Spatiotemporal Dynamics of Maize in China from 2005 to 2017 through Designing Leaf Moisture based Indicator from Normalized Multiband Drought Index, Computers and Electronics in Agriculture, 153: 82-93.
  25. Hu, Q., Tang, Z., Shulski, M., Umphlett, N., Abdel-Monem, T., Uhlarik, F.E., 2018, An Examination of Midwestern U.S. Cities’ Preparedness for Climate Change and Extreme Hazards, Natural Hazards, 94(2): 777–800.
  26. Qiu, B., Zou, F., Chen C., Tang, Z., Zhong, J., Yan, X., 2018, Automatic Mapping Afforestation, Cropland Reclamation and Variations in Cropping Intensity in Central East China during 2001–2016, Ecological Indicator, 91: 490-502.
  27. Jia, K., Jiang W., Li, J., Tang, Z., 2018, Spectral Matching Based on Discrete Particle Swarm Optimization: A New Method for Terrestrial Water Body Extraction Using Multi-Temporal Landsat 8 Images, Remote Sensing of Environment, 209: 1-18.
  28. Akbariyeh, S., Bartlet-Hunt S., Snow, D., Li, X., Tang, Z., Li, Y., 2018, Three-Dimensional Modeling of Nitrate-N Transport in Vadose Zone: Roles of Soil Heterogeneity and Groundwater Flux, Journal of Contaminant Hydrology, 211:15-25.
  29. Hu, Q., Tang, Z., Zhang, L., Xu, Y., Wu, X., Zhang, L, 2018, Evaluating Climate Change Adaptation Efforts on the U.S. 50 States’ Hazard Mitigation Plans, Natural Hazards, 92:783–804. 
  30. Sajjad, M., Li, Y., Tang, Z., Cao, L., Liu, X., 2018, Assessing Hazard Vulnerability, Habitat Conservation and Restoration for the Enhancement of China’s Coastal Resilience, Earth's Future, 6:326-338.
  31. Mei, XF; Dai, ZJ, Tang, Z., van Gelder, P.H.A.J.M.,  2018, Impacts of Historical Records on Extreme Flood Variations over the Conterminous United States,  Journal of Flood Risk Management, 11: S359-S369.   
  32. Tang, Z., Drahota, J., Hu, Q., Jiang, W., 2018, Examining Playa Wetland Contemporary Conditions in the Rainwater Basin, Nebraska, Wetlands, 38:25–36.
  33. Zhang, L., Tochen, R., Hibbard, M., Tang, Z., 2018, The Role of Local Leaders in Environmental Concerns in Master Plans: An Empirical Study of China’s Eighty Large Municipalities, Journal of Planning Education and Research, 38(3) 301–313. (This paper was selected as the Chester Rapkin Award for the Best Paper.)
  34. Qiu, B., Zhang, K., Tang, Z., Chen C., Wang, Z., 2017, Developing Soil Indices based on Brightness, Darkness, and Greenness to Improve Land Surface Mapping Accuracy, GIScience & Remote Sensing, 54(5): 759-777.
  35. Qiu, B., Luo Y., Tang, Z., Chen, C., Lu, D., Huang, H., Chen, Y., Chen, N., Xu, W., 2017, Winter Wheat Mapping Combining Variations Before and After Estimated Heading Dates, ISPRS Journal of Photogrammetry and Remote Sensing, 123: 35-46.
  36. Qiu, B., Chen, G., Tang, Z., Lu, D., Wang, Z., Chen, C., 2017, Assessing the Three-North Shelter Forest Program in China by a Novel Framework for Characterizing Vegetation Changes, ISPRS Journal of Photogrammetry and Remote Sensing, 133:75-88.
  37. Li, Y., Tang, Z., Liu, C., Kilic, A., 2017, Estimation and Investigation of Consumptive Water Use in Residential Area -Case Cities in Nebraska, U.S.A., Sustainable Cities and Society, 35:637-644.
  38. Figueroa-Alfaro, RW, Tang, Z., 2017, Evaluating Aesthetic Value of Cultural Ecosystem Service by Mapping Geo-Tagged Photographs from Social Media Data on Panoramio and Flickr, Journal of Environmental Planning and Management, 60(2): 266-281.
  39. Qiu, B., Zhong, J, Tang, Z., Feng, M., Chen C., Wang X., 2017, Greater Phenological Sensitivity on the higher Tibetan Plateau: New Insights from Weekly 5km EVI2 Datasets, International Journal of Biometeorology, 61(5):807-820.
  40. Qiu, B., Lu, D., Tang, Z., Chen, C., Zou, F., 2017, Automatic and Adaptive Paddy Rice Mapping Using Landsat Images: Case study in Songnen Plain in Northeast China, Science of the Total Environment, 598: 581-592.
  41. Deng, Y., Jang, W., Tang, Z., Li, J., Lv, J., Chen, Z., Jia, K., 2017, Spatial-Temporal Change of Lake Water Extent in Wuhan Urban Agglomeration Based on Landsat Images from 1987 to 2015, Remote Sensing, (9)3: 270.
  42. Qiu, B., Lu, D., Tang, Z., Song, D., Zeng, Y., Wang, Z., Chen, C., Chen N., Huang, H., Xu, W., 2017, Mapping Cropping Intensity Trends in China during 1982-2013, Applied Geography, 79: 212-222.
  43. Wang, Q., Wu, J., Li, X., Zhou, H., Yang, J., Geng, G., An, Xue., Liu, L., Tang, Z,, 2017, A Comprehensively Quantitative Method of Evaluating the Impact of Drought on Crop Yield using Daily Multi-scale SPEI and Crop Growth Process Model, International Journal of Biometeorology, 61: 685–699.
  44. Qiu, B., Zhong, J., Tang, Z., Feng, M., Chen, C., Wang, X., 2017, Greater Phenological Sensitivity on the Higher Tibetan Plateau: New Insights from Weekly 5km EVI2 Datasets, International Journal of Biometeorology, 61:807–820.
  45. Mei, X., Van Gelder, P., Dai, Z., Tang, Z., 2017, Impact of Dams on Flood Occurrence of Selected Rivers in the United States, Frontiers of Earth Science, 11(2): 268–282.
  46. Jiang, W., Rao, P., Cao, R., Tang, Z., Chen, K., 2017, Comparative Evaluation of Geological Disaster Susceptibility Using Multi-regression Methods and Spatial Accuracy Validation, Journal of Geographical Sciences, 27(4): 439–462
  47. Tang, Z., Li, Y., Gu, Y., Jiang, W., Xue, Y., Hu, Q., LaGrange, T., Bishop, A., Drahota., J., Li, R., 2016, Assessing Nebraska Playa Wetland Inundation Status During 1985-2015 Using Landsat Data and Google Earth Engine, Environmental Monitoring and Assessment, 188:654.
  48. Qiu, B., Wen Q., Tang, Z., Chen, C., Wang, X., 2016, Rice Cropping Density and Intensity Lessened in Southeast China during the 21st Century, Environmental Monitoring and Assessment, 188:5.
  49. Wei, W., Mei, X., Dai, Z., Tang, Z., 2016, Recent Morphodynamic Evolution of the Largest Uninhibited Island in the Yangtze (Changjiang) Estuary during 1998-2014: Influence of the Anthropogenic Interference, Continental Shelf Research, 124: 83-94.
  50. Qiu, B., Wang, Z., Tang, Z., Chen, C., Fan, Z., Li, W., 2016, Automated Cropping Intensity Extraction from Isolines of Wavelet Spectra, Computers and Electronics in Agriculture, 125:1-11.
  51. Qiu, B., Min, F., Tang, Z., 2016, A Simple Smoother based on Continuous Wavelet Transform: Comparative Evaluation based on the Fidelity, Smoothness and Efficiency in Phenological Estimation. International Journal of Applied Earth Observation and Geoinformation, 47: 91-101.
  52. Qiu, B., Wang, Z., Tang, Z., Liu, Z., Lu, D., Chen, C., Chen, N., 2016, A Multi-scale Spatiotemporal Modeling Approach to Explore Vegetation Dynamics Patterns under Global Climate Change, GIScience & Remote Sensing, 53(5): 596-613.
  53. Jiang, W., Deng, Y., Tang, Z., Cao, R., Chen, Z., Jia, K., 2016, Adaptive Capacity of Mountainous Rural Communities under Restructuring to Geological Disasters: The Case of Yunnan Province, Journal of Rural Studies, 47: 622-629.
  54. Tang Z., Gu, Y., Jiang, W., Xue, Y., Bishop, A., LaGrange, T., Nugent, E., 2016, Use RUSLE2 Model to Assess the Impact of Soil Erosion on Playa Inundation and Hydrophyte Conditions in the Rainwater Basin, Nebraska, Environmental Monitoring and Assessment, 188 (6): 1-15.
  55. Qiu, B., Liu, Z., Tang, Z., Chen, C., 2016, Developing Indices of Temporal Dispersion and Continuity to Map Natural Vegetation, Ecological Indicators, 64: 335–342.
  56. Tang, Z., Liu, T., 2016, Evaluating Internet-Based Public Participation GIS (PPGIS) and Volunteered Geographic Information (VGI) in Environmental Planning and Management, Journal of Environmental Planning and Management, 59(6): 1073-1090.
  57. Li, Z., Xiao, H., Tang, Z., Huang, J., Nie X., Huang, B., Ma, W., Lu, Y., Zeng, G., 2015, Microbial Responses to Erosion-Induced Soil Physico-Chemical Property Changes in the Hilly Red Soil Region of Southern China, European Journal of Soil Biology, 71: 37–44.
  58. Tang, Z., Zhang L., Xu F., Vo H., 2015,  Examining the Role of Social Media in California's Drought Risk Management in 2014, Natural Hazards 79:171–193.  
  59. Jiang, WG., Jia K., Wu, JJ., Tang, Z., Wang, WJ, Liu X., 2015, Evaluating the Vegetation Recovery in the Damage Area of Wenchuan Earthquake using MODIS data, Remote Sensing, 7: 8757-8778.  
  60. Tang, Z., Gu, Y., Drahota, J., LaGrange, T., Bishop A., Kuzila, M., 2015, Using Fly Ash as a Marker to Quantify Culturally-Accelerated Sediment Accumulation in Playa Wetlands,  Journal of the American Water Resources Association, 51(6):1643-1655.
  61. Qiu B., Li W., Tang Z., Chen C., Qi W., 2015, Mapping Paddy Rice Areas Based on Vegetation Phenology and Surface Moisture Conditions. Ecological Indicators, 56:79-86.    
  62. Tang, Z., Gu, Y., Dai, Z., Li, Y., Bishop, A., LaGrange, T., Drahota, J., 2015, Examining Playa Wetland Inundation Conditions for National Wetland Inventory, Soil Survey Geographic Database, and LiDAR Data, Wetlands, 35:641–654.  
  63. Fang, H., Sun, L., Tang, Z., 2015, Effects of Rainfall and Slope on Runoff, Soil Erosion and Rill Development: An Experimental Study Using Two Loess Soils, Hydrological Processes, 29, 2649–2658.   
  64. Wei, W., Tang, Z., Dai, Z., Lin, Y., Ge, Z., Gao, J., 2015, Variations in Tidal Flats of the Changjiang (Yangtze) Estuary during 1950s-2010s: Future Crisis and Policy Implication, Ocean & Coastal Management. 108: 89-96.  
  65. Qiu, B., Li, W., Zhong, M., Tang, Z., Chen, C., 2014, Spatiotemporal Analysis of Vegetation Variability and its Relationship with Climate Change in China, Geo-spatial Information Science, 17(3): 170-180. 
  66. Qiu B., Fan Z., Zhong M., Tang Z., Chen C., 2014, A New Approach for Crop Identification with Wavelet Variance and JM Distance. Environmental Monitoring and Assessment, 186: 7929–7940.  
  67. Zhao, N., Liu, T., Tang, Z., Gu, Y., 2014, Planning Towards Net-Zero Energy Communities: Lessons Learned from Local Comprehensive Plans, Urban Planning and Design Research, 2: 41-48.
  68. Wei, T., Tang, Z., 2014, Building Low-Carbon Cities: Assessing the Fast Growing U.S. Cities' Land Use Comprehensive Plans, Journal of Environmental Assessment Policy and Management, 16(1): 1-28.
  69. 66.  Feng, S.,, Hu Q., Huang W., Ho, C., Li R., Tang, Z., 2014, Projected Climate Regime Shift under Future Global Warming from Multi-model, Multi-scenario CMIP5 Simulations, Global and Planetary Change, 112: 41-52.  
  70. Tang, Z., Li, R., Li, X., Jiang, W., Hirsh, A., 2014, Capturing LiDAR-Derived Hydrologic Spatial Parameters to Evaluate Playa Wetlands, Journal of the American Water Resources Association, 50(1): 234-245.  
  71. Qiu, B., Zhong, M., Tang, Z., Chen, C., Wang, Q., 2014, A New Methodology to Map Double-cropping Croplands based on Continuous Wavelet Transform, International Journal of Applied Earth Observation and Geoinformation, 26:97-104.   
  72. Zhao L., Lyu A., Wu J., Hayes M., Tang Z., He B., Liu J., Liu M., 2014. Impact of Meteorological Drought on Streamflow Drought in Jinghe River Basin of China. Chinese Geographical Science, 24(6): 694–705. 
  73. Li, R., Tang, Z., Li, X., Winter, J.,  2013, Drainage Structure Dataset and its Effects on LiDAR-derived Surface Flow Modeling, ISPRS (International Society for Photogrammetry and Remote Sensing) International Journal of Geo-Information, 2, 1136-1152.
  74. Fu X., Svoboda, M., Tang, Z., Dai Z., Wu, J., 2013, An Overview of U.S. State Drought Plans: Crisis or Risk Management? Natural Hazards, 69:1607–1627.  
  75. Fu, X., Tang, Z., Wu, J., McMillan, K., 2013, Drought Planning Research in the United States: An Overview and Outlook, International Journal of Disaster Risk Science, 4(2): 51-58.      
  76. Qiu, B., Zhong, M., Tang, Z., Chen, C., 2013, Multilevel Assessment of Spatiotemporal Variability of Vegetation in Subtropical Mountain-hill Region, Journal of Mountain Science. 10(6): 1028-1038.  
  77. Fang, H., Sheng, M., Tang, Z., Cai, Q., 2013, Assessment of Soil Redistribution and Spatial Patterns for a Small Catchment in the Black Soil Region, Northeastern China: Using Fallout 210Pbex, Soil and Tillage Research. 133: 85-92.  
  78. Qiu, B., Zeng, C., Tang, Z., Li W., Hirsh, A., 2013, Identifying Scale-location Specific Control on Vegetation Distribution in Mountain-Hill Region, Journal of Mountain Science. 10(4): 541-552.  
  79. Zhang X., Li Z., Tang, Z., Zeng, G., Huang, J., Guo W., Chen, X., 2013, Effects of Water Erosion on the Redistribution of Soil Organic Carbon in the Hilly Red Soil Region of Southern China, Geomorphology , 197:133-134.  
  80. Qiu, B., Zhong, M., Tang, Z., Chen, C., Wang, Q., Zhang, C., 2013, Spatiotemporal Variability of Vegetation Phenology with Reference to Altitude and Climate in the Subtropical Mountain and Hill Region of Fujian Province, China, Chinese Science Bulletin, 58(23): 2883-2892.  
  81. Qiu, B., Zeng, C., Tang, Z., Chen, C., 2013, Characterizing Spatiotemporal Non-Stationarity in Vegetation Dynamics in China Using MODIS EVI Dataset, Environmental Monitoring and Assessment, 185:9019-9035.  
  82. Tang, Z., Dai, Z., Fu, X., Li, X., 2013, Content Analysis for the U.S. Coastal States’ Climate Action Plans in Managing the Risks of Extreme Climate Events and Disasters, Ocean & Coastal Management 80:46-54.   
  83. Fu, X., Tang, Z., 2013, Planning For Drought-Resilient Communities: An Evaluation of Local Comprehensive Plans in the Fastest Growing Counties in the U.S., Cities, 32: 60-69.
  84. Qiu, B., Zhong, M., Zeng, C., Tang, Z., Chen, C., 2012, Effect of Topography and Accessibility on Vegetation Dynamic Pattern in Mountain-Hill Region. Journal of Mountain Science, 9: 879-890.   
  85. Tang, Z., X. Li, Zhao, N., Li, R., Harvey, F.E., 2012, Developing A Restorable Wetland Index for the Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis, Wetlands, 32:975–984.  
  86. Tang, Z., Zhao, N., Lei, Z., 2012, Can Planners Take the Leadership in Local Environmental Management? Journal of Environmental Assessment Policy and Management 14(2): 1-24.
  87. Wang Y., Li, Z., Tang, Z., Zeng, G., 2011, A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China, Water Resources Management 25(13): 3465-3484.    
  88. Tang, Z., Wei, T., Quinn, C., Zhao, N., 2011, Surveying Local Planning Directors’ Actions For Climate Change, International Journal of Climate Change Strategies and Management 4(1): 81-103.
  89. Tang, Z., Brody, S. D., Li, R., Quinn, C., Zhao, N., 2011, Examining Locally-Driven Climate Change Policy Efforts In Three Pacific States, Ocean & Coastal Management 54: 415-426.  
  90. Tang, Z., Zhao, N., 2011, Assessing the Principles of Community-based Natural Resources Management in Local Environmental Conservation Plans, Journal of Environmental Assessment Policy and Management 13(3):405-433.
  91. Zhou, X., Brandle, J. R., Awada, T., Schoeneberger, M. M., Xin, Y., Tang, Z., 2011, The Use of Forest-derived Specific Gravity for the Conversion of Volume to Biomass for Open-grown Trees on Agricultural Land, Biomass and Bioenergy 35:1721-1731.  
  92. Tang, Z., Lindell, M. K., Prater, C.S., Wei, T., Hussey, C., 2011, Examining Local Coastal Zone Management Capacity in U.S. Pacific Coastal Counties, Coastal Management 39(2):105–132.     
  93. Tang, Z., Wang, J., Koperski, T., 2010, Measuring Local Climate Change Response Capacity and Bridging Gaps between Local Action Plans and Land Use Plans, International Journal of Climate Change Strategies and Management 3(1):74-100
  94. Tang, Z., Burbach, M. E., Wei., T., 2010, Bridging the Gap Between Environmental Planning Education and Practice, International Journal of Sustainable Development & Planning 5(4): 430-442.
  95. Li, R., Zhao, L. M., Haigh, T., Tang, Z., 2010, Monitoring Watershed Drought Conditions through the Landsat Imagery Interpretation, Disaster Advances 3(4):40-46.  
  96. Tang, Z., 2010, Assessing Sustainable Development Gaps between the State and Local Jurisdictions, Journal of Environmental Assessment Policy and Management 12(3): 263–289.
  97. Tang, Z., 2010, Building Climate-Resilient Cities: Examining Climate Change Actions and Hazard Vulnerability in U.S. Coast, Journal of US-China Public Administration 7(8): 25-29. (Invited paper)  
  98. Tang, Z., Brody, S.D., Quinn, C., Chang, L., Wei, T., 2010, Moving from Agenda to Action: Evaluating Local Climate Change Action Plans, Journal of Environmental Planning and Management 53(1): 43-62.  (Highlighted as one of the “most cited” articles in Journal of Environmental Planning and Management)  
  99. Chang, L., Tang, Z., 2010, Using Remote Sensing Technology to Assess Land-Use Changes after the Northridge Earthquake, Disaster Advances 3(1): 5-10. (Invited paper)   
  100. Tang, Z., Hussey, C. M., Wei, T., 2009, Assessing Local Land Use Planning’s Awareness, Analysis, and Actions for Climate Change, International Journal of Climate Change Strategies and Management 1(4): 368-381.
  101. Tang, Z., Bright, E., Brody, S. D., 2009, Evaluating California Local Land Use Plans’ Environmental Impact Reports, Environmental Impact Assessment Review 29: 96–106.   
  102. Tang, Z., 2009, How are California Local Jurisdictions Incorporating a Strategic Environmental Assessment in Local Comprehensive Land Use Plans? Local Environment: The International Journal of Justice and Sustainability 14(4): 313-328.
  103. Tang, Z., Brody, S. D., 2009, Link Planning Theories with Factors Influencing Local Environmental Plan Quality, Environment and Planning B: Planning and Design 36: 522-537.  
  104. Tang, Z., 2008, Integrating the Principles of Strategic Environmental Assessment into Local Comprehensive Land Use Planning, Journal of Environmental Assessment Policy and Management 10(2): 143-171.
  105. Tang, Z., 2008, Evaluating the Capacities of Local Jurisdictions’ Coastal Zone Land Use Planning in California, Ocean and Coastal Management 51(7): 544-555.  
  106. Tang, Z., Lindell, M., Prater, C., Brody, S. D., 2008, Measuring Tsunami Hazard Planning Capacity on the U.S. Pacific Coast, Natural Hazards Review 9(2): 91-100.
  107. Brody, S. D., Grover, H., Bernhardt, S., Tang, Z., Whitaker, B., Spencer, C., 2006, Identifying Potential Conflict Associated with Oil and Gas Exploration in Texas State Coastal Waters: A Multicriteria Spatial Analysis. Environmental Management 38:597-617.