{"id":129,"date":"2014-12-14T18:44:43","date_gmt":"2014-12-14T23:44:43","guid":{"rendered":"http:\/\/pages.charlotte.edu\/gang-chen\/?page_id=129"},"modified":"2025-09-08T19:06:12","modified_gmt":"2025-09-09T00:06:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/pages.charlotte.edu\/gang-chen\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Peer-reviewed Journal Articles and Book Chapters<\/h1>\n

Journal Publications:<\/strong><\/em><\/h2>\n
    \n
  1. Li, Z., Wang, H., Wang, Y., Chen, G., Chen, J.M., & Chen, B. (2025). Large-scale High-resolution Essential Urban Land Cover Category Mapping Using a Semantic-Augmented and Noise-Tolerant Approach<\/a>. IEEE Transactions on Geoscience and Remote Sensing<\/em>, 63, 4416421.<\/li>\n
  2. Hammelman, C., Chen, G., Tontisirin, N., Anantsuksomsri, S., Moore, F., Ly, S., Birla, S., Archambault, Z., Fleming, E., Gwanfogbe, J., Positlimpakul, K., & Srisuwon, S. (2025). The COVID-19 Pandemic\u2019s lasting consequences for tropical crop cultivation in Eastern Thailand<\/a>. Applied Geography<\/em>, 179, 103636.<\/li>\n
  3. Chen, G., Zhou, Y., Voogt, J. A., & Stokes, E. C. (2024). Remote sensing of diverse urban environments: From the single city to multiple cities<\/a>. Remote Sensing of Environment<\/em>, 305<\/em>, 114108.<\/li>\n
  4. Chen, G., Hammelman, C., Anantsuksomsri, S., Tontisirin, N., Todd, A. R., Hicks, W.W., Robinson, H. M., Calloway, M.G., Bell, G.M., & Kinsey, J. E., III (2024). Fine-Scale (10 m) Dynamics of Smallholder Farming through COVID-19 in Eastern Thailand<\/a>. Remote Sensing<\/em>, 16<\/em>, 1035.<\/li>\n
  5. Xie, K., Zhu, J., Ren, H., Wang, Y., Yang, W., Chen, G., Lin, C., & Zhai, R. (2024). Delving into the Potential of Deep Learning Algorithms for Point Cloud Segmentation at Organ Level in Plant Phenotyping<\/a>. Remote Sensing<\/em>, 16, 3290.<\/li>\n
  6. Anantsuksomsri, S., Positlimpakul, K., Chatakul, P., Janpathompong, D., Chen, G., & Tontisirin, N. (2024). Carbon sequestration analysis of the university campuses in the Bangkok Metropolitan Region<\/a>. Journal of Infrastructure, Policy and Development<\/em>, 8(6), 3385.<\/li>\n
  7. Wang, T., Zhou, C., Qian, Y., Chen, G., Zhu, D., Zhu, Y., & Liu, Y. (2023). Basal Channel System and Polynya Effect on a Regional Air-Ice-Ocean-Biology Environment System in the Prydz Bay, East Antarctica<\/a>. Journal of Geophysical Research: Earth Surface<\/em>, 128, e2023JF007286.<\/li>\n
  8. Hu, J., Zhou, Y., Yang, Y., Chen, G., Chen, W., & Hejazi, M. (2023). Multi-city assessments of human exposure to extreme heat during heat waves in the United States<\/a>. Remote Sensing of Environment<\/em>, 295, 113700.<\/li>\n
  9. Shukla, T., Tang, W., Trettin, C.C., Chen, G., Chen, S., Allan, C. (2023). Quantification of Microtopography in Natural Ecosystems Using Close-Range Remote Sensing<\/a>. Remote Sensing<\/em>, 15, 2387.<\/li>\n
  10. Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., & Wang, L. (2022). A global dataset of daily maximum and minimum near-surface air temperature at 1km resolution over land (2003\u20132020)<\/a>. Earth System Science Data,<\/em> 14, 5637\u20135649.<\/li>\n
  11. Nickerson, S., Chen, G., Fearnside, P.M., Allan, C.J., Hu, T., de Carvalho, L.M.T., & Zhao, K. (2022). Forest loss is significantly higher near clustered small dams than single large dams per megawatt of hydroelectricity installed in the Brazilian Amazon<\/a>. Environmental Research Letters<\/em>, 17, 084026.<\/li>\n
  12. Zhang, Y., Chen, G., Myint, S.W., Zhou, Y., Hay, G.J., Vukomanovic, J., & Meentemeyer, R.K. (2022). UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States<\/a>. Remote Sensing of Environment<\/em>, 278, 113106.<\/li>\n
  13. Zhou, Y., Chen, G., & Zhou, W. (2022). Sustainable urban systems: from landscape to ecological processes.<\/a> Ecological Processes<\/em>, 11, 26.<\/li>\n
  14. Chen, W., Y. Zhou, Y. Xie, G. Chen, K. J. Ding, & D. Li (2022). Estimating spatial and temporal patterns of urban building anthropogenic heat using a bottom-up city building heat emission model<\/a>. Resources, Conservation and Recycling<\/em>, 177, 105996.<\/li>\n
  15. Hu, T., Toman, E. M., Chen, G., Shao, G., Zhou, Y., Li, Y., Zhao, K., & Feng, Y. (2021). Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine<\/a>. ISPRS Journal of Photogrammetry and Remote Sensing<\/em>, 176: 250-261.<\/li>\n
  16. He, Y., Chen, G., Cobb, R.C., Zhao, K., & Meentemeyer, R.K. (2021). Forest landscape patterns shaped by interactions between wildfire and sudden oak death disease.<\/a> Forest Ecology and Management<\/em>, 486: 118987.<\/li>\n
  17. Dutta, D., Chen, G., Chen, C., Gagn\u00e9, S.A., Li, C., Rogers, C., & Matthews, C. (2020). Detecting Plant Invasion in Urban Parks with Aerial Image Time Series and Residual Neural Network<\/a>. Remote Sensing<\/em>, 12: 3493.<\/li>\n
  18. Chen, W., Zhou, Y., Wu, Q., Chen, G., Huang, X., & Yu, B. (2020). Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China<\/a>. Remote Sensing<\/em>, 12: 2805.<\/li>\n
  19. Zhang, Y.<\/span>, Chen, G., Vukomanovic, J., Singh K.K., Liu, Y., Holden, S., & Meentemeyer, R.K. (2020). Recurrent Shadow Attention Model (RSAM) for shadow removal in high-resolution urban land-cover mapping<\/a>. <\/span>Remote Sensing of Environment<\/span><\/i>, 247: 111945.<\/span><\/li>\n
  20. Chen, G., Singh, K.K., Lopez, J., Zhou, Y. (2020). Tree canopy cover and carbon density are different proxy indicators for assessing the relationship between forest structure and urban socio-ecological conditions<\/a>. Ecological Indicators<\/em>, 113: 106279.<\/li>\n
  21. He, Y., G. Chen, C. Potter, and R.K. Meentemeyer (2019). Integrating multi-sensor remote sensing and species distribution modeling to map the spread of emerging forest disease and tree mortality<\/a>. Remote Sensing of Environment<\/em>, 231: 11238.<\/li>\n
  22. Lopez, J., Branch, J. W., Chen, G. (2019). Line-based image segmentation method\u202f: a new approach to segment VHSR remote sensing images automatically<\/a>. European Journal of Remote Sensing<\/em>, 52: 613\u2013631.<\/li>\n
  23. Wei, Y., X. Tong, G. Chen, D. Liu, Z. Han (2019). Remote Detection of Large-Area Crop Types: The Role of Plant Phenology and Topography<\/a>. Agriculture<\/em>, 9: 150.<\/li>\n
  24. Whiteman, A., Gomez, C., Rovira, J., Chen, G., McMillan W.O., and Loaiza, J. (2019). Aedes Mosquito Infestation in Socioeconomically Contrasting Neighborhoods of Panama City<\/a>. EcoHealth<\/em>, 16: 210-221.<\/li>\n
  25. Chen, S., A. Whiteman, A. Li, T. Rapp, E. Delmelle, G. Chen, C.L. Brown, P. Robinson, M.J. Coffman, D. Janies, and M. Dulin (2019). An operational machine learning approach to predict mosquito abundance based on socioeconomic and landscape patterns<\/a>. Landscape Ecology<\/em>, 34: 1295-1311.<\/li>\n
  26. He, Y., G. Chen, A. De Santis, D. A. Roberts, Y.\u00a0Zhou, R. K. Meentemeyer (2019). A Disturbance Weighting Analysis Model (DWAM) for Mapping Wildfire Burn Severity in the Presence of Forest Disease<\/a>.\u00a0Remote Sensing of Environment<\/i>, 221: 108-121.<\/li>\n
  27. Chen, G., J.-C. Thill, S. Anantsuksomsri, N. Tontisirin, R. Tao (2018).\u00a0Stand age estimation of rubber (Hevea brasiliensis<\/em>) plantations using an integrated pixel- and object-based tree growth model and annual Landsat time series<\/a>.\u00a0ISPRS<\/em>\u00a0Journal of Photogrammetry and Remote Sensing<\/em>, 144: 94-104.<\/li>\n
  28. Whiteman, A., E. Delmelle, T. Rapp, S. Chen, G. Chen, M. Dulin (2018). A novel sampling method to measure socioeconomic drivers of Aedes albopictus<\/em> distribution in Mecklenburg County, North Carolina<\/a>. International Journal of Environmental Research and Public Health<\/em>, 15: 2179.<\/li>\n
  29. Liu, D., E. Thoman, Z. Fuller, G. Chen, A. Londo, X. Zhang, K. Zhao (2018).\u00a0Integration of historical map and aerial imagery to characterize long-term land-use change and landscape dynamics: An object-based analysis via Random Forests<\/a>. Ecological Indicators<\/em>, 95: 595-605.<\/li>\n
  30. Chen, G., Q. Weng, G.J. Hay, Y. He (2018).\u00a0Geographic Object-based Image Analysis (GEOBIA): Emerging trends and future opportunities<\/a>. GIScience & Remote Sensing<\/em>, 55: 159-182.<\/li>\n
  31. Chen, G., Q. Weng (2018).\u00a0Special issue: Remote sensing of our changing landscapes with Geographic Object-based Image Analysis (GEOBIA)<\/a>. GIScience & Remote Sensing<\/em>, 55: 155-158. (Editorial)<\/li>\n
  32. Li, W., Y. Zhou, K. Cetin, J. Eom, Y. Wang, G. Chen, X. Zhang (2017).\u00a0Modeling urban building energy use: A review of modeling approaches and procedures<\/a>.\u00a0Energy<\/em>, 141: 2445-2457.<\/li>\n
  33. Chen, G., Y. He, A. De Santis, G. Li, R. Cobb, R.K. Meentemeyer (2017). Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data<\/a>.\u00a0Remote Sensing of Environment<\/i>,195: 218-229.<\/li>\n
  34. Cai, Y., G. Chen, Y. Wang, and L. Yang (2017). Impacts of land cover and seasonal variation on maximum air temperature estimation using MODIS imagery<\/a>. Remote Sensing<\/em>, 9: 233.<\/li>\n
  35. Chen, G., E.\u00a0Ozelkan, K. K. Singh, J. Zhou, M. R. Brown, and R. K. Meentemeyer (2017). Uncertainties in mapping forest carbon in urban ecosystems<\/a>. Journal of Environmental Management<\/em>,187: 229-238.<\/li>\n
  36. Singh, K.K., R. Bianchetti, G.\u00a0Chen, and R.K. Meentemeyer (2017).\u00a0Assessing effect of dominant land-cover types and pattern on urban forest biomass estimated using LiDAR metrics<\/a>. Urban Ecosystems<\/em>, 20: 265-275.<\/li>\n
  37. Singh, K.K., G. Chen, J.B. Vogler\u00a0and R.K. Meentemeyer (2016). When Big Data are Too Much: Effects of LiDAR\u00a0Returns and Point Density on Estimation of Forest\u00a0Biomass<\/a>.\u00a0IEEE Journal<\/em> of Selected Topics in Applied Earth Observations and Remote Sensing<\/em>, 9: 3210-3218.<\/li>\n
  38. Ozelkan, E., G. Chen, and B.B. Ustundag (2016). Spatial Estimation of Wind Speed: A New Integrative Model Using Inverse Distance Weighting and Power Law<\/a>. International Journal of Digital Earth,\u00a0<\/em>9: 733-747.<\/li>\n
  39. Ozelkan, E., G. Chen, and B.B. Ustundag (2016). Multiscale object-based drought monitoring and comparison in rainfed and irrigated agriculture from Landsat 8 OLI imagery<\/a>. International Journal of Applied Earth Observation and Geoinformation, <\/em>44: 159-170.\u00a0<\/em><\/li>\n
  40. Chen, G., R.P. Powers, L. M. T. de Carvalho and B. Mora (2015). Spatiotemporal patterns of tropical deforestation and forest degradation in response to the operation of the Tucuru\u00ed hydroelectric dam in the Amazon basin<\/a>. Applied Geography<\/em>, 63: 1-8.<\/li>\n
  41. Lu, J., J. Li, G. Chen, L. Zhao, B. Xiong and G. Kuang (2015). Improving Pixel-Based Change Detection Accuracy Using an Object-Based Approach in Multitemporal SAR Flood Images<\/a>. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing<\/em>, 8: 3486-3496.<\/li>\n
  42. Zhao, K., M. Garc\u00eda, S. Liu, Q. Guo; G. Chen, X. Zhang, Y. Zhou and X. Meng (2015). Terrestrial lidar remote sensing of forests: Maximum likelihood estimates of canopy profile, LAI, and leaf angle distribution<\/a>. Agricultural and Forest Meteorology, <\/em>209-210: 100-113.\u00a0<\/em><\/li>\n
  43. Chen, G., M.R. Metz, D.M. Rizzo and R.K. Meentemeyer (2015). Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery<\/a>. International Journal of Applied Earth Observation and Geoinformation,\u00a0<\/em>40: 91-99.<\/li>\n
  44. Chen, G., M.R. Metz, D.M. Rizzo, W.W. Dillon and R.K. Meentemeyer (2015). Object-based assessment of burn severity in diseased forests using high-spatial and high-spectral resolution MASTER airborne imagery<\/a>. ISPRS<\/em> Journal of Photogrammetry and Remote Sensing<\/em>, 102: 38-47.<\/li>\n
  45. Singh, K.K., G. Chen, J.B. McCarter and R.K. Meentemeyer (2015). Effects of LiDAR point density and landscape context on estimates of urban forest biomass<\/a>. ISPRS Journal of Photogrammetry and Remote Sensing<\/em>, 101:310-322.<\/li>\n
  46. Godwin, C., G. Chen, K. K. Singh (2015). The impact of urban residential development patterns on forest carbon density: An integration of LiDAR, aerial photography and field mensuration<\/a>. Landscape and Urban Planning<\/em>, 136: 97-109.<\/li>\n
  47. Powers, R.P., T. Hermosilla, N.C. Coops and G. Chen (2015). Remote sensing and object-based techniques for mapping fine-scale industrial disturbances<\/a>. International Journal of Applied Earth Observation and Geoinformation<\/em>, 34: 51-57.<\/li>\n
  48. Hultquist, C., G. Chen and K. Zhao (2014). A Comparison of Gaussian Process Regression, Random Forests and Support Vector Regression for Burn Severity Assessment in Diseased Forests<\/a>. Remote Sensing Letters<\/em>, 5:723-732.<\/li>\n
  49. Chen, G., K. Zhao and R. Powers (2014). Assessment of the Image Misregistration Effects on Object-based Change Detection<\/a>. ISPRS Journal of Photogrammetry and Remote Sensing<\/i>, 87:19-27.<\/li>\n
  50. Wulder, M.A., J.C. White, C.W. Bater, N.C. Coops, C. Hopkinson, and G. Chen. (2012). Lidar plots-a new large-area data collection option: context, concepts, and case study<\/a>. Canadian Journal of Remote Sensing<\/em>, 38:600-618.<\/li>\n
  51. Chen, G., M.A. Wulder, J.C. White, T.H. Hilker, and N.C. Coops. (2012). Lidar calibration and validation for geometric-optical modeling with Landsat imagery<\/a>. Remote Sensing of Environment<\/em>, 124:384-393.<\/li>\n
  52. Chen, G., G. J. Hay, L. M. T. Carvalho and M. A. Wulder (2012). Object-Based Change Detection<\/a>. International Journal of Remote Sensing<\/em>, 33:4434-4457.<\/li>\n
  53. Chen, G., G. J. Hay and B. St-Onge (2012). A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: a case study in Quebec, Canada<\/a>. International Journal of Applied Earth Observation and Geoinformation<\/em>, 15:28-37.<\/li>\n
  54. Powers, R., G. J. Hay and G. Chen (2012). How wetland type and area differ through scale? A case study of Alberta’s Boreal Plains<\/a>. Remote Sensing of Environment<\/em>, 15: 135-145.<\/li>\n
  55. Chen, G., K. Zhao, G. J. McDermid and G. J. Hay (2012). The influence of sampling density on geographically weighted regression: a case study using forest canopy height and optical data<\/a>. International Journal of Remote Sensing<\/em>, 33:2909-2924.<\/li>\n
  56. Hay, G. J., C. D. Kyle, B. Hemachandran, G. Chen, M. M. Rahman and T. S. Fung (2011). Geospatial Technologies to Improve Urban Energy Efficiency<\/a>. Remote Sensing<\/em>, 3: 1380-1405.<\/li>\n
  57. Chen, G. and G. J. Hay (2011). A support vector regression approach to estimate forest biophysical parameters at the object level using airborne lidar transects and Quickbird data<\/a>. Photogrammetric Engineering and Remote Sensing<\/em>, 77:733-741.<\/li>\n
  58. Chen, G. and G. J. Hay (2011). An airborne lidar sampling strategy to model forest canopy height from Quickbird imagery and GEOBIA<\/a>. Remote Sensing of Environment<\/em>, 115:1532-1542.<\/li>\n
  59. Chen, G., G. J. Hay, G. Castilla, B. St-Onge and R. Powers (2011). A multiscale geographic object-based image analysis (GEOBIA) to estimate lidar-measured forest canopy height using Quickbird imagery<\/a>. International Journal of Geographic Information Science<\/em>, 25:877-893.<\/li>\n
  60. Shen, Q., G. Chen, D. E and C. Zhou (2011). Recent elevation changes on the Lambert-Amery system in East Antarctica from ICESat crossover analysis. Chinese Journal of Geophysics<\/em>, 54: 1983-1989. (In Chinese)<\/li>\n
  61. E, D., Q. Shen, Y. Xu and G. Chen (2009). High-accuracy topographical information extraction based on fusion of ASTER stereo-data and ICESat\/GLAS data in Antarctica. Science in China Series D: Earth Sciences<\/em>, 52: 714-722.<\/li>\n
  62. Chen, G. and D. E (2007). Support Vector Machines for Cloud Detection over Ice-Snow Areas. Geo-spatial Information Science<\/em>, 10: 117-120.<\/li>\n
  63. Chen, G. and D. E (2006). Cloud Detection Based on Texture Analysis and SVM over Ice-snow Covered Areas. Geomatics and Information Science of Wuhan University<\/em>, 31: 403-406. (In Chinese)<\/li>\n
  64. E, D. and G. Chen (2005). Detection of Cloud, Snow and Ice Based on ETM+ Thermal Infrared Imagery in Antarctica. Geomatics and Information Science of Wuhan University<\/em>, 30: 913-916. (In Chinese)<\/li>\n
  65. E, D. and G. Chen (2005). Cloud Detection of Multispectral Images in Antarctica Based on Wide Thresholds and A Gradient Algorithm. Chinese Journal of Polar Research<\/em>, 17: 93-98. (In Chinese)<\/li>\n
  66. Chen, G. and D. E (2005). Digital Orthographic Mapping of Antarctic Areas. Journal of Geomatics<\/em>, 30: 7-8. (In Chinese)<\/li>\n<\/ol>\n

    Book Chapters:<\/strong><\/em><\/h2>\n
      \n
    1. Reeves, M., I. Ib\u00e1\u00f1ez, D. Blumenthal, G. Chen, Q. Guo, C. Jarnevich, J. Koch, F. Sapio, M. Schwartz, R.K. Meentemeyer, B. Wylie, and S. Boyte (2021). Chapter 11: Tools and Technologies for Quantifying Spread and Impacts of Invasive Species<\/a>. In Poland, Therese M.; Patel-Weynand, Toral; Finch, Deborah M.; Ford Miniat, Chelcy; Hayes, Deborah C.; Lopez, Vanessa M. (Ed.), Invasive Species in Forests and Rangelands of the United States: A Comprehensive Science Synthesis for the United States Forest Sector<\/em><\/a>. Heidelberg, Germany: Springer International Publishing. 455p.<\/li>\n
    2. Singh, K. K., L. Smart, and G. Chen (2018). LiDAR and optical data integration for coastal wetland assessment<\/a>. In Q. Weng, Y. He (Ed.), High Spatial Resolution Remote Sensing: Data, Techniques, and Applications <\/em>(pp. 71-88). Boca Raton, Florida: CRC Press, Taylor & Francis Group.<\/li>\n
    3. Chen, G., and R.K. Meentemeyer (2016). Remote Sensing of Forest Damage by Diseases and Insects<\/a>. In Q. Weng (Ed.), Remote Sensing for Sustainability <\/em>(pp. 145-162). Boca Raton, Florida: CRC Press, Taylor & Francis Group.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      Peer-reviewed Journal Articles and Book Chapters Journal Publications: Li, Z., Wang, H., Wang, Y., Chen, G., Chen, J.M., & Chen, B. (2025). Large-scale High-resolution Essential Urban Land Cover Category Mapping Using a Semantic-Augmented and Noise-Tolerant Approach. IEEE Transactions on Geoscience and Remote Sensing, 63, 4416421. Hammelman, C., Chen, G., Tontisirin, N., Anantsuksomsri, S., Moore, F., […]<\/p>\n","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-129","page","type-page","status-publish","hentry"],"jetpack_shortlink":"https:\/\/wp.me\/P2VSMp-25","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages\/129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/comments?post=129"}],"version-history":[{"count":132,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages\/129\/revisions"}],"predecessor-version":[{"id":1302,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages\/129\/revisions\/1302"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/media?parent=129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}