地理科学学院

授权专利：

地理模拟优化系统 （http://www.geosimulation.cn/；授权专利号200810219824.2）

发表著作：

1) 黎夏，叶嘉安，刘小平，李少英，杨青生. 2020. 地理模拟系统：元胞自动机与空间智能. 北京: 科学出版社.  388 pp.

2) 陈明辉，黎夏.2014. 城市空间扩张模拟与生态控制线优化预警模型研究. 中国建筑北京：工业出版社. 153 pp.

3) 黎夏，刘小平，李少英. 2010. 智能式GIS与空间优化. 北京：科学出版社. 275 pp

4) 黎夏，叶嘉安，刘小平，杨青生. 2007.地理模拟系统：元胞自动机和多智能体. 北京：科学出版社. 312 pp.

5) 黎夏，刘凯. 2006. GIS与空间分析：原理与方法. 北京：科学出版社. 340 pp.

6) 叶嘉安，宋小冬，钮心毅，黎夏. 2006.地理信息与规划支持系统. 北京：科学出版社. 206 pp.

7) Li  X. 2005. Advanced GIS Modelling Techniques and Applications. China Education &Culture Publishing Company. 294 pp.

8) 古秋深，饶开燕，黎夏. 1990.伶仃洋遥感应用研究. 北京：科学出版社. 108 pp.

发表论文：

在Nature子刊，International Journal of Geographical Information Science (GIS类国际排名第一刊物)，IEEE Transactions on Geoscience and Remote Sensing，Remote Sensing of Environment，International Journal of Remote Sensing，Photogrammetric Engineering & Remote Sensing等权威国际刊物发表了多篇学术论文。主要有：

♦ Nature子刊 发表论文3篇

♦ International Journal of Geographical Information Science 发表论文26篇

♦ Remote Sensing of Environment 发表论文3篇

♦ IEEE Transactions on Geoscience and Remote Sensing 发表论文4篇

♦ Photogrammetric Engineering & Remote Sensing 发表论文7篇

                ♦ International Journal of Remote Sensing 发表论文7篇

论文列表

1) Xia Li*, Hong Shi, Yuchao Yan, Xiaoxia Wen (2021). Effect of economic growth on environmental quality: Evidence from tropical countries with different income levels, Science of The Total Environment, 774:145180 DOI: https://doi.org/10.1016/j.scitotenv.2021.145180.

2) Liang, X., Tian, H., Li, X.*, Huang, J. L., Clarke, K. C., Yao, Y., ... & Hu, G. (2021). Modeling the dynamics and walking accessibility of urban open spaces under various policy scenarios. Landscape and Urban Planning, 207, 103993.

3) Hu, G., Li, X.*, Zhou, B. B., Ma, Q., Meng, X., Liu, Y., ... & Liu, X. 2020. How to minimize the impacts of urban expansion on farmland loss: developing a few large or many small cities?Landscape Ecology, 35(11), 2487-2499.

4) Shi, H., Li, X.*, Liu, X., Wang, S., Liu, X., Zhang, H., Tang, D., & Li, T（2020）. Global protected areas boost the carbon sequestration capacity: evidences from econometric causal analysis. Science of the Total Environment, 715, 137001.

5) Shi, H., Li, X.*, Yang, Z., Li, T., Ren, Y., Liu, T., ... & Liang, X. 2020. Tourism land use simulation for regional tourism planning using POIs and cellular automata, Transactions in GIS, 24(4), 1119-1138.

6) Lin, J., Li, X.*, Li, S., & Wen, Y. 2020. What is the influence of landscape metric selection on the calibration of land-use/cover simulation models?. Environmental Modelling & Software, 104719.

7) Chen, Y., Li, X., Huang, K., Luo, M., & Gao, M. 2020. High‐Resolution Gridded Population Projections for China Under the Shared Socioeconomic Pathways, Earth's Future, 8(6), e2020EF001491

8) Li, X., & Yeh, A. G. 2020. Cellular automata modelling for urban planning in fast-growth regions, In Handbook of Planning Support Science, Edward Elgar Publishing.

9) Xiaoping   Liu, Yinghuai Huang, Xiaocong Xu, Xuecao Li, Xia Li*, Philippe Ciais,   Peirong Lin, Kai Gong, Alan D. Ziegler, Anping Chen, Peng Gong, Jun   Chen, Guohua Hu, Yimin Chen, Shaojian Wang, Qiusheng Wu, Kangning  Huang,  Lyndon Estes, Zhenzhong Zeng*. (2020). High spatiotemporal  resolution  mapping of global urban change from 1985 to 2015, Nature Sustainability,1-7.

10) Guangzhao   Chen, Xia Li*, Xiaoping Liu*, Yimin Chen*, Xun Liang, Jiye   Leng, Xiaocong Xu, Weilin Liao, Yue'an Qiu, Qianlian Wu & Kangning   Huang. (2020) Global projections of future urban land expansion under   shared socioeconomic pathways. Nature Communications 11: 537. DOI: 10.1038/s41467-020-14386-x.

11) Chen,   Y., Chen, X., Liu, Z., & Li, X. (2020). Understanding the spatial   organization of urban functions based on co-location patterns mining: A   comparative analysis for 25 Chinese cities. Cities, 97, 102563.

12) Jinbao   Zhang, Xia Li*, Yao Yao*, Ye Hong, Jialyu He, Zhangwei Jiang &   Jianchao Sun (2020): The Traj2Vec model to quantify residents’ spatial   trajectories and estimate the proportions of urban land-use types, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2020.1726923

13) Yaqian   Zhai, Yao Yao, Qingfeng Guan, Xun Liang, Xia Li, Yongting Pan, Hanqiu   Yue, Zehao Yuan & Jianfeng Zhou (2020): Simulating urban land use   change by integrating a convolutional neural network with vector-based   cellular automata, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2020.1711915

14) Li,   X., Chen, Y., Projecting the future impacts of China’s cropland  balance  policy on ecosystem services under the shared socioeconomic  pathways, Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2019.119489

15) Xiaoping   Liu, Fengsong Pei, Youyue Wen, Xia Li*, Shaojian Wang*, Changjiang Wu,   Yiling Cai, Jianguo Wu, Jun Chen, Kuishuang Feng, Junguo Liu, Klaus   Hubacek, Steven J. Davis*, Wenping Yuan, Le Yu, Zhu Liu*, 2019. Global   urban expansion offsets climate-driven increases in terrestrial net   primary productivity. Nature Communications 10, 5558, doi:10.1038/s41467-019-13462-1

16) Jinpei   Ou, Xiaoping Liu*, Shaojian Wang, Rui Xie, Xia Li. Investigating the   differentiated impacts of socioeconomic factors and urban forms on   CO2 emissions: Empirical evidence from Chinese cities of different   developmental levels. Journal of Cleaner Production, 2019, 226: 601-614.

17) Xiaoping   Liu, Jinpei Ou*, Yimin Chen, Shaojian Wang, Xia Li, Limin Jiao, Yaolin   Liu. Scenario simulation of urban energy-related CO2 emissions by   coupling the socioeconomic factors and spatial structures. Applied Energy, 2019, 238: 1163-1178.

18) Q. Shi，M,Liu,   X, Liu, P, Liu, P, Zhang, J Yang, X, Li. (2019). Domain Adaption for   Fine-Grained Urban Village Extraction From Satellite Images, in IEEE   Geoscience and Remote Sensing Letters.

19) Qi,   Z., Yeh, A.G.O., and Li, X. (2019). Scattering-mechanism-based   investigation of optimal combinations of polarimetric SAR frequency   bands for land cover classification, Photogrammetric Engineering & Remote Sensing, 85, 799-813.

20) Chen,   Y., Li, X.*, Liu, X., Zhang, Y. & Huang, M. (2019). Quantifying  the  Teleconnections between Local Consumption and Domestic Land Uses in   China. Landscape and Urban Planning, 187, 60-69.

21) Jinyao   Lin, Zhifeng Wu & Xia Li* (2019): Measuring inter-city  connectivity  in an urban agglomeration based on multi-source data, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2018.1563302.

22) Hong   Shi, Xia Li*, Han Zhang, Xiaojuan Liu, Taohong Li & Zhentao Zhong   (2019): Global difference in the relationships between tourism,  economic  growth, CO2 emissions, and primary energy consumption, Current Issues in Tourism, DOI: 10.1080/13683500.2019.1588864.

23) Meifang Li, Xun Shi, Xia Li*, Wenjun Ma, Jianfeng He & Tao Liu (2019) Epidemic Forest: A Spatiotemporal Model for Communicable Diseases, Annals of the American Association of Geographers, 109:3, 812-836, DOI: 10.1080/24694452.2018.1511413

24) Han   Zhang, Xia Li*, Xiaoping Liu, Yimin Chen, Jinpei Ou, Ning Niu, Yuhao   Jin & Hong Shi (2019): Will the Development of a High-Speed Railway   Have Impacts on Land Use Patterns in China? Annals of the American Association of Geographers, 109(3), 979–1005. https://doi.org/10.1080/24694452.2018.1500438

25) Lin,   J., & Li, X. (2019). Large-scale ecological red line planning in   urban agglomerations using a semi-automatic intelligent zoning method. Sustainable Cities and Society, 46, 101410.

26) Chen, Y., Wang, B., Liu, X., & Li, X. (2019). Mapping the spatial disparities in urban health care services using taxi trajectories data. Transactions in GIS, 22(2): 602-615.

27) Yinghuai Huang, Xiaoping Liu, Xia Li, Yuchao Yan, Jinpei Ou. Comparing the Effects of Temporal Features Derived from Synthetic Time-Series NDVI on Fine Land Cover Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(12): 4618-4629.

28) Yan, Y., Liu, X., Ou, J., Li, X., & Wen, Y. (2018). Assimilating   multi-source remotely sensed data into a light use efficiency model for   net primary productivity estimation. International Journal of Applied   Earth Observation and Geoinformation, 72, 11-25.

29) Wen, Y., Liu, X., Pei, F., Li, X., & Du, G. (2018). Non-uniform  time-lag  effects of terrestrial vegetation responses to asymmetric  warming. Agricultural and Forest Meteorology, 252, 130-143.

30) Liu, X., Hu, G., Chen, Y*., Li, X*., Li, S., Pei, F., & Wang, S.  (2018).  High-resolution Multi-temporal Mapping of Global Urban Land  using  Landsat Images Based on the Google Earth Engine Platform. Remote Sensing of Environment, 209: 227-239.

31) Weilin Liao, Xiaoping Liu*, Dan Li, Ming Luo, Dagang Wang, Shaojian Wang,  Jane  Baldwin, Lijie Lin, Xia Li, Kuishuang Feng, Klaus Hubacek, and  Xuchao  Yang (2018). Stronger Contributions of Urbanization to Heat Wave  Trends  in Wet Climates. Geophysical Research Letters. 45(20), 11310-11317.

32) Chen, Y., Li, X., Liu, X., Zhang, Y., & Huang, M. (2018). Tele-connecting China's future urban growth to impacts on ecosystem services under the shared socioeconomic pathways. Science of The Total Environment, 652, 765-779.

33) Liu,   X., Ou, J., Wang, S., Li, X., Yan, Y., Jiao, L., & Liu, Y. (2018).   Estimating spatiotemporal variations of city-level energy-related CO 2   emissions: An improved disaggregating model based on vegetation  adjusted  nighttime light data. Journal of Cleaner Production, 177, 101-114.

34) Liang, X., Liu, X. (Corresponding author), Li, X (Corresponding author),   Chen, Y., Tian, H., & Yao, Y. (2018). Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological   method. Landscape and Urban Planning, 177, 47-63.

35) Shi, Q., Liu, X., & Li, X. (2018). Road detection from remote sensing images by generative adversarial networks. IEEE Access, 6, 25486-25494.

36) Chen,   Y., Liu, X*., & Li, X*. (2017). Calibrating a Land Parcel Cellular Automaton (LP-CA) for Urban Growth Simulation based on Ensemble   Learning. International Journal of Geographical Information Science, 31(12), 2480-2504.

37) Chen,   Y., Liu, X*., & Li, X*. (2017). Analyzing Parcel-level Relationships between Urban Land Expansion and Activity Changes by Integrating Landsat and Nighttime Lights Data. Remote Sensing, 9(2), 164.

38) Yao, Y., X. Liu, X. Li (Corresponding author), P. Liu, Y. Hong, Y. Zhang, and K. Mai. 2017. Simulating urban land-use changes at a large scale by integrating dynamic land   parcel subdivision and vector-based cellular automata. International Journal of Geographical Information Science, 31 (12): 2452-2479.

39) Zhao, K., and X. Li (Corresponding author). 2017.Estimating terrestrial water storage changes in the Tarim River Basin using GRACE data. Geophysical Journal International 211 (3): 1449-1460.

40) Liu   Xiaoping, Xun Liang, Xia Li (Corresponding author), Xiaocong Xu,  Jinpei  Ou, Yimin Chen, Shaoying Li, Shaojian Wang, and Fengsong Pei.  (2017). A  future land use simulation model (FLUS) for simulating  multiple land  use scenarios by coupling human and natural effects.  Landscape and Urban  Planning, 168, 94-116.

41) Ning   Niu, Xiaoping Liu, He Jin, Xinyue Ye, Yu Liu, Xia Li, Yimin Chen &   Shaoying Li (2017): Integrating multi-source big data to infer  building  functions, International Journal of Geographical Information Science, DOI: 10.1080/13658816.2017.1325489

42) Li,   X., Chen, Y., Liu, X., Xu, X., & Chen, G. (2017). Experiences and   issues of using cellular automata for assisting urban and regional   planning in China. International Journal of Geographical Information Science, 31(8), 1606-1629.

43) Y.L. Sheng, X.P. Liu, X.C. Yang, Q.C. Xin, C.B. Deng and X. Li. 2017.   Quantifying the spatial and temporal relationship between air and land   surface temperatures of different land cover types in Southeastern   China. International Journal of Remote Sensing. 2017, 38(4):1114-1136.

44) Xia Li, Guangzhao Chen, Xiaoping Liu, Xun Liang, Shaojian Wang, Yimin  Chen,  Fengsong Pei, Xiaocong Xu. 2017. A new global land-use and  land-cover  change product at a 1-km resolution for 2010-2100 based on   human-environment interactions. Annals of the American Association of Geographers. 107(5), 1040-1059, DOI: 10.1080/24694452.2017.1303357

45) Yao, Y., Liu, X., Li, X., Zhang, J., Liang, Z., Mai, K., Zhang, Y. 2017.   Mapping fine-scale population distributions at the building level by   integrating multisource geospatial big data. International Journal of Geographical Information Science, 31(6), 1220-1244.

46) Yao, Y., Li, X. (Corresponding author), Liu, X. (Corresponding author),  Liu,  P., Liang, Z., Zhang, J., & Mai, K. 2017. Sensing spatial   distribution of urban land use by integrating points-of-interest and   Google Word2Vec model. International Journal of Geographical Information Science, 31(4), 825-848.

47) Ma, S., Li, X. (Corresponding author), & Cai, Y. 2017. Delimiting the   urban growth boundaries with a modified ant colony optimization model. Computers, Environment and Urban Systems, 62, 146-155.

48) Lin   J and Li X (Corresponding author). 2016. Conflict resolution in the   zoning of eco-protected areas in fast-growing regions based on game   theory. Journal of Environmental Management, 170: 177-185.

49) Chen   Y, Liu X, Li X, Liu X, Yao Y, Hu G, Xu X and Pei F. 2017. Delineating   urban functional areas with building-level social media data: A dynamic   time warping (DTW) distance based k-medoids method. Landscape and Urban Planning, 160, 48-60.

50) Chen   Y, Li X, Liu Y and Xu X. 2016. Mapping the Fine-Scale Spatial Pattern of Housing Rent in the Metropolitan Area by Using Online Rental  Listings  and Ensemble Learning. Applied Geography, 75: 200-212.

51) Chen   Y, Li X (Corresponding author), Liu X, Ai B and Li S. 2016. Capturing   the varying effects of driving forces over time for the simulation of   urban growth by using survival analysis and cellular automata. Landscape and Urban Planning, 152: 59-71.

52) Ou   Jinpei, Liu Xiaoping, Li Xia, Chen Yimin, Li Jun. 2016. Quantifying  the  spatiotemporal dynamics of urban growth modes in metropolitan  cities of  China: Beijing, Shanghai, Tianjin, and Guangzhou. Journal of Urban Planning and Development. DOI:10.1061/(ASCE)UP.1943-5444.0000352.

53) Ou   Jinpei, Liu Xiaoping, Li Xia, Shi Xun. 2016. Mapping global fossil  fuel  combustion CO2 emissions at high-resolution by integrating  nightlight,  population density, and traffic network data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(4): 1674-1684.

54) Ou   Jinpei, Liu Xiaoping, Li Xia, Li Meifang, Li Wenkai 2015. Evaluation  of  NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel   Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light   Data. PLoS ONE 10(9): e0138310.

55) Xu,   X., Liu, X., Li, X. (Corresponding author), Xin, Q., Chen, Y., Shi,  Q.,  & Ai, B. 2016. Global snow cover estimation with Microwave   Brightness Temperature measurements and one-class in situ observations.  Remote Sensing of Environment, 182, 227-251.

56) Xu,   X., Li, X. (Corresponding author), Liu, X., Shen, H., & Shi, Q.   2016. Multimodal registration of remotely sensed images based on   Jeffrey’s divergence. ISPRS Journal of Photogrammetry and Remote Sensing, 122, 97-115.

57) Lin   J and Li X. (Corresponding author). 2015. Simulating urban growth in a   metropolitan area based on weighted urban flows by using web search   engine. International Journal of Geographical Information Science, 29(10): 1721-1736.

58)Zhang   Yihan, Li Xia(Corresponding authors), Liu Xiaoping, Qiao Jigang. 2015.   Self-modifying CA model using dual ensemble Kalman filter for  simulating  land use changes. International Journal of Geographical Information Science. 29(9), 1612-1631.

59) Li,   J., Agathos, A., Zaharie, D., Bioucas-Dias, J. M., Plaza, A., &  Li,  X. 2015. Minimum Volume Simplex Analysis: A Fast Algorithm for  Linear  Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, 53(9), 5067-5082.

60) Dou,   J., Li, X. (Corresponding authors), Yunus, A. P., Paudel, U., Chang,  K.  T., Zhu, Z., & Pourghasemi, H. R. 2015. Automatic detection of   sinkhole collapses at finer resolutions using a multi-component remote   sensing approach. Natural Hazards, 78(2), 1021-1044.

61) Qi,   Z., Yeh, A.G.O., Li, X. (Corresponding author), Shi, X, and Zhang, X.   2015. Monthly short-term detection of land development using RADARSAT-2   polarimetric SAR imagery. Remote Sensing of Environment, 164, 179-196.

62) Qi,   Z., Yeh, A.G.O., Li, X. (Corresponding author), and Zhang, X. 2015. A   three-component method for timely detection of land cover changes using   polarimetric SAR images. ISPRS Journal of Photogrammetry and Remote Sensing, 107, 3-21.

63) Y.   Liu and X. Li (Corresponding authors). 2014. Domain adaptation for  land  use classification: A spatio-temporal knowledge reusing method.  ISPRS  Journal of Photogrammetry and Remote Sensing, 98, 133-144.

64) Lin   Jinyao, Liu Xiaoping, Li Kai, Li Xia. 2014. A maximum entropy method  to  extract urban land by combining MODIS reflectance, MODIS NDVI, and   DMSP-OLS data. International Journal of Remote Sensing, 35(18): 6708-6727.

65) Jiayong   Liang, Xiaoping Liu, Kangning Huang, and Xia Li. 2014. Automatic   registration of multi-sensor images using an integrated spatial and   mutual information (SMI) metric. IEEE Transactions on Geoscience and Remote Sensing. 52(1): 603-615.

66) Khodadadzadeh,   M.; Li, J.; Plaza, A.; Ghassemian, H.; Bioucas-Dias, J.M.; Li, X.  2014.  Spectral–Spatial Classification of Hyperspectral Data Using Local  and  Global Probabilities for Mixed Pixel Characterization, IEEE Transactions on Geoscience and Remote Sensing, 52(10), 6298-6314.

67) Kai Liu, Lin Liu, Hongxing Liu, Xia Li, Shugong Wang. 2014. Exploring the   effects of biophysical parameters on the spatial of rare cold damage to   mangrove forests. Remote Sensing of Environment, 150: 20-33.

68) Chen Y M, Li X. (Corresponding authors), Liu X P, Ai B. 2014. Modeling  urban  land-use dynamics in a fast developing city using the modified  logistic  cellular automaton with a patch-based simulation strategy. International Journal of Geographical Information Science. 28(2): 234-255.

69) Liu Xiaoping, Ma Lei, Li Xia, Ai Bing, Li Shaoying, He Zhijian. 2014.   Simulating urban growth by integrating landscape expansion index (LEI)   and cellular automata. International Journal of Geographical Information Science. 28(1): 148-163.

70) Chen Y.M., Li X., Liu X.P., and Ai B. 2013. Analyzing Land-cover Change and   Corresponding Impacts on Carbon Budget in a Fast Developing  Sub-tropical  Region by Integrating MODIS and Landsat TM/ETM+ Images. Applied Geography. 45: 10-21.

71) Li Shaoying, Li Xia (Corresponding authors), Liu Xiaoping. Wu Zhifeng, Ai   Bin. 2013. Simulation of spatial population dynamics based on labor   economics and multi-agent systems: a case study on a rapidly developing   manufacturing metropolis. International Journal of Geographical Information Science, 27(12): 2410-2435.

72) Li,   X., Liu, Y., Liu, X., Chen, Y., & Ai, B. 2013. Knowledge transfer   and adaptation for land-use simulation with a logistic cellular   automaton. International Journal of Geographical Information Science, 27(10), 1829-1848.

73) Li,   X., Lao, C., Liu, Y., Liu, X., Chen, Y., Li, S., ... & He, Z.  2013.  Early warning of illegal development for protected areas by  integrating  cellular automata with neural networks. Journal of Environmental Management, 130, 106-116.

74) Ou,   J., Liu, X., Li, X., Chen, Y., 2013, Quantifying the relationship   between urban forms and carbon emissions using panel data analysis, Landscape Ecology 28(10):1889-1907.

75) Fengsong   Pei, Li, X (Correspondence Author), Xiaoping Liu, Shujie Wang, Zhijian   He. 2013. Assessing the differences in net primary productivity  between  pre- and post-urban land development in China. Agricultural and Forest Meteorology 171–172: 174-186.

76) Liu,   Xiaoping, Ou Jinpei, Li Xia, Ai Bin. Combining system dynamics and   hybrid particle swarm optimization for land use allocation. Ecological Modelling. 2013, 257: 11-24.

77) Fengsong   Pei, Li, X (Correspondence Author), Xiaoping Liu, Xiaoping Liu,  Chunhua  Lao. 2013. Assessing the impacts of droughts on net primary   productivity in China. Journal of Environmental Management 114: 362-371.

78) Dai   J, Li X (Correspondence author), Liu L,2013.Simulation of pedestrian   counter flow hrough bottlenecks by using an agent-based model, Physica A: Statistical Mechanics and its Applications 392, pp. 2202-2211.

79) Li, X, Lin J Y, Chen Y M, Liu X P and Ai B. 2013.Calibrating cellular automata based on landscape metrics by using genetic algorithms, International Journal of Geographical Information Science, 27(3), 594-613.

80) Chen   Y M, Li, X (Correspondence Author), Wang S J, Liu X P, Ai B, 2013.   Simulating Urban Form and Energy Consumption in the Pearl River Delta   under Different Development Strategies. Annals of the Association of American Geographers. 103(6): 1567-1585.

81) Kangning   Huang, Xiaoping Liu, Xia Li, Jiayong Liang, and Shenjing He. 2012. An   improved artificial immune system for seeking the Pareto front of   land-use allocation problem in large areas. International Journal of Geographical Information Science. 27(5): 922-946.

82) Li   Dan, Li, X (Correspondence Author), Liu Xiaoping1, Chen Yimin, Li   Shaoying, Liu Kai, Qiao Jigang, Zheng Yizhong, Zhang Yihan & Lao   Chunhua. 2012. GPU-CA model for large-scale land-use change simulation.  Chinese Science Bulletin, 57: 2442-2452.

83) Xiuzhi   Chen, Shuisen Chen, Ruofei Zhong, Yongxian Su, Jishan Liao, Dan Li ,   Liusheng Han, Jianming Huang, Xia Li. 2012. A semi-empirical inversion   model for assessing surface soil moisture using AMSR-E brightness   temperatures. Journal of Hydrology, 456-457, 1-11

84) Liu   X P, Lao C H, Li X, 2012. An integrated approach of remote sensing,  GIS  and swarm intelligence for zoning protected ecological areas. Landscape Ecology, 27: 447-463.

85) Hu FY, Xu W, Li, X,2012. A modified particle swarm optimization algorithm for optimal allocation of earthquake emergency shelters. International Journal of Geographical Information Science, 26(9), 1643-1666.

86) Li   X, Zhang Y H, Liu X P, Chen Y M. 2012. Assimilating process context   information of cellular automata into change detection for monitoring   land use changes, International Journal of Geographical Information Science, 26(9), 1667-1687.

87) Qi   Z X, Yeh A G O, Li X, andLin Z, 2012. A novel algorithm for land use   and land cover classification using RADARSAT-2 polarimetric SAR data. Remote Sensing of Environment, 118, 21-39.

88) Chen   YM, Li, X (Correspondence author), Wang S J, Liu X P, 2012. Defining agents' behaviour based on urban economic theory to simulate complex   urban residential dynamics, International Journal of Geographical Information Science, 26:7, 1155-1172.

90) Qi   Z X, Yeh A G O, Li X, and Lin Z, 2012. Integration of polarimetric decomposition, object-oriented image analysis, and decision tree   algorithms for land-use and land-cover classification using RADARSAT-2   polarimetric SAR data. Photogrammetric Engineering & Remote Sensing, 78(2), 169-182.

91) Liu   X P, Li X, Tan Zhangzhi, Chen Y M, 2011. Zoning farmland protection under spatial constraints by integrating remote sensing, GIS and artificial immune systems. International Journal of Geographical Information Science, 25:11, 1829-1848.

92) Liu   X P, Li X, Shi X, Huang K N., 2012. A multi-type ant colony optimization (MACO) method for optimal land use allocation in large areas. International Journal of Geographical Information Science. 26 (7):1325-1343.

93) Li X, Shi X, He, J Q, Liu X P, 2011, Coupling simulation and optimization to solve planning problems in a fast developing area. Annals of the Association of American Geographers.101(5), 1032-1048.

94) ChengT, WangJ. Q. and LiX, 2011. A Hybrid Framework for Space-Time Modeling of Environmental Data,Geographical Analysis, 43(2),188–210.

95) Li X, 2011. Emergence of bottom-up models as a tool for landscape simulation and planning. Landscape and Urban Planning, 100, 393–395.

96) Chen   YM, Li, X (Correspondence author), Zheng Y, Guan YY, Liu XP, 2011.   Estimating the Relationship between Urban Forms and Energy Consumption:  A  Case Study in the Pearl River Delta, 2005-2008. Landscape and Urban Planning, 102(1): 33-42.

97) Li X, Chen Y M, Liu X P, Li D, He J Q., 2011. Concepts, methodologies, and tools of an integrated Geographical Simulation and Optimization System (GeoSOS). International Journal of Geographical Information Science. 25(4), 633–655.

98) Li X, Lao C H, Liu X P, Chen Y M., 2011. Coupling urban cellular automata with ant colony optimization for zoning protected natural areas under a changing landscape. International Journal of Geographical Information Science. 25(4), 575–593.

99) Ai, B., Li, X (Correspondence author), Xiang, Z., 2010. Reconstructing high-accuracy DEM with precise orbit data and external DEM. Progress In Electromagnetics Research M, 14: 15-32.

100) Liu X P, Li X, Zhang X H. 2010. Determining Class Proportions Within a Pixel Using a New Mixed-Label Analysis Method. IEEE Transactions on Geoscience and Remote Sensing. 48(4),1882-1891.

101) Chen Y M, Li X (Correspondence author), Liu X P, Liu Y L. 2010. An agent-based model for optimal land allocation (AgentLA) with a contiguity constraint. International Journal of Geographical Information Science. 24(8): 1269-1288.

102) Liu X P, Li X, Shi X, Zhang X H. 2010. Simulating land use dynamics under planning policies by integrating artificial immune systems with cellular automata. International Journal of Geographical Information Science, 24(5): 783-802.

103) Liu X P, Li X,  Chen Y M, Tan Z Z. 2010. A new landscape index (LEI) for quantifying  urban expansion using multi-temporal remotely sensed data. Landscape Ecology. 25: 671-682.

104) Li X, Zhang X. H, Yeh A G O, Liu X P. 2010. Parallel cellular automata for large-scale urban simulation using load-balancing techniques. International Journal of Geographical Information Science. 24(6): 803–820.

105) Liu T, Li X (Correspondence author), Liu X P. 2010. Integration of small world networks with multi-agent systems for simulating epidemic spatiotemporal transmission. Chinese Science Bulletin, 55(13), 1285-1293.

106) Dai J, Li X. 2010. Multi-agent systems for simulating traffic behaviors. Chinese Science Bulletin, 55 (3): 293-300.

107) Qian,   J., Li, X., Liao, S., & Yeh, A. G. O. (2010). Applying an   Anomaly-Detection Algorithm for Short-Term Land Use and Land Cover   Change Detection Using Time-Series SAR Images. GIScience & Remote   Sensing, 47(3), 379-397.

108) Li X, Yeh A G O, Qian J P, Ai B, Qi Z X. 2009. Matching   Algorithm for Detecting Land Use Changes in Multi-temporal SAR Images   Using Object-oriented Analysis and Case-Based Reasoning. Photogrammetric Engineering & Remote Sensing, 75(11), 1319–1332.

109) Li X, He J Q, Liu X P. 2009. Ant intelligence for solving optimal path-covering problems with multi-objectives. International Journal of Geographical Information Science. 23(7), 839 – 857.

110) Zhuo L, Ichinose T, Zheng J, Chen J,Shi P J, Li X. 2009. Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images. International Journal of Remote Sensing, 30(4), 1003 – 1018.

111) Li X, He J Q, Liu X P. 2009. Intelligent GIS for solving high-dimensional site selection problems using ant colony optimization techniques. International Journal of Geographical Information Science.23(3-4), 399-416.

112) Liu X P, Li X (Correspondence author). 2008. An Innovative Method to Classify Remote Sensing Images Using Ant Colony Optimization. IEEE Transactions on Geoscience and Remote Sensing. 46(12),4198-4208.

113) Li X, Yang Q S, Liu X P, 2008. Discovering and evaluating urban signatures for simulating compact development using cellular automata. Landscape and Urban Planning, 86, 177-186.

114) Li X, Yang Q S, Liu X P. 2008. Genetic algorithms for determining the parameters of cellular automata in urban simulation. Science in China (Series D), 50(12), 1857-1866.

115) Liu X P, Li X(Correspondence author). 2008. A bottom-up approach to discover transition rules of cellular automata using ant intelligence. International Journal of Geographical Information Science. 22(11-12), 1247–1269.

116) Elmore A J, Shi X, Gorence N J, Li X, Jin H M, Wang F, Zhang X H. 2008. Spatial distribution of agricultural residue from rice for potential biofuel production in China, Biomass and Bioenergy, 32, 22-27.

117) Shi X, Elmore A, Li X, Gorence NJ, Jin H M, Zhang X H, Wang F. 2008. Using   Spatial Information Technologies to Select Sites for Biomass Power   Plants: A Case Study in Guangdong Province, China, Biomass and   Bioenergy, 32, 35-43.

118) Qingsheng Yang, Li X (Correspondence author), Xun Shi. 2008. Cellular automata for simulating land use changes based on support vector machines. Computers & Geosciences, 34, 592-602.

119) Li X, Liu X P. 2008. Embedding sustainable development strategies in agent-based models for use as a planning tool. International Journal of Geographical Information Science, 22(1), 21-45.

120) Liu X P, Li X (Correspondence author). 2008. Simulating complex urban development usingkernel-based non-linear cellular automata. Ecology Modelling.211,169-181.

121) Liu X P, Li X (Correspondence author), Peng X J, He J Q. 2008. Swarm intelligence for classification of remote sensing data. Science in China (Series D), 51(1), 79-87.

122) Liu K, Li  X (Correspondence author), Shi X, Wang S G. 2008. Monitoring mangrove  forest changes using remote sensing and GIS data with decision-tree  learning. Wetlands. 28(2), 336-346.

123) Li X,   Yeh AGO, Wang S G. 2007. Regression and analytical models for   estimating mangrove wetland biomass in South China using Radarsat   images. International Journal of Remote Sensing. 28(24), 5567-5582.

124) LiX, Liu X P. 2007. Defining agents’ behaviors to simulate complex residential development using multicriteria evaluation, Journal of Environmental Management. 85, 1063-1075.

125) Liu X P, Li X (Correspondence author), Yeh AGO. 2007. Discovery of transition rules for geographical cellular automata by using ant colony optimization. Science in China (Series D).50(10), 1578-1588.

126) Li X,   Liu X P. 2006. An extended cellular automaton using case-based   reasoning for simulating urban development in a large complex region. International Journal of Geographical Information Science. 20, 1109-1136.

127) Liu X P, Li X (Correspondence author). 2006. Multi-agent systems for simulating spatial decision behaviors and land use dynamics, Science in China (Series D). 49(11), 1184-1194.

128) Li X, Yeh AGO, Liu, K., Wang S G. 2006. Inventory of mangrove wetlands in the Pearl River Estuary of China using remote sensing, Journal of Geographical Sciences, 16(2), 155-164.

129) Yeh AGO, Li X. 2006. Errors and Uncertainties in Urban Cellular Automata, Computers, Environment and Urban Systems.30(1), 10-28.

130) Li X, Yeh AGO. 2005. Knowledge discovery for geographical cellular automata Science in China (Series D). 48(10), 1758-1767.

131) Li X, Yeh AGO. 2005. Integration of genetic algorithms and GIS for optimal location search. International Journal of Geographical Information Science. 19(5), 581-601.

132) Chen SS, Chen LF, Liu QH, Li X. 2005. Remote sensing and GIS-based integrated analvsis of coastal changes and their   environmental impacts in Lingding Bay, Pearl River Estuary, South  China,  Ocean and Coastal Management, 48, 65-83.

133) Yeh   AGO, Li X. 2005. Error Propagation and Model Uncertainties of   Cellular Automata in Urban Simulation with GIS, inP.M. Atkinson, G.M.   Foody, S.E. Darby, and F. Wu (eds.) GeoDynamics, London: CRC Press, pp. 329-345.

134) Li X. 2005. A Four-component Efficiency Index for Assessing Land Development Using Remote Sensing and GIS. Photogrammetric Engineering & Remote Sensing, 71(1), 47-57.

135) Li X, Yeh AGO. 2004. Data mining of cellular automata's transition rules International Journal of Geographical Information Science. 18(8), 723-744.

136) Li X, Yeh AGO. 2004. Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS, Landscape and Urban Planning, 69(4): 335-354.

137) Li X, Yeh A G O. 2004. Multitemporal SAR images for monitoring cultivation systems using case-based reasoning, Remote Sensing of Environment, 90(4): 524-534.

138) YehAGO, Li X. 2004. A general constrained cellular automaton for urban planning, Advances in Spatial Analysis and Decision Making (edited by Z. L. Li, Q. M. Zhou, and W. Kainz), Lisse, the Netherlands: Swets & Zeitlinger B.V., 167-178 pp.

139) Yeh AGO, Li X. 2004. Integration of Neural Networks and Cellular Automata for Urban Planning Geo-spatial Information Science, 7(1): 6-13.

140) Yeh AGO, Li X. 2003. Simulation of development alternatives using neural networks, cellular automata and GIS for urban planning, Photogrammetric Engineering & Remote Sensing. 69(9): 1043-1052.

141) Li Y, Liao Q F, Li X, Liao S D, Chi G B, Peng S L. 2003.Towards an operational system for regional-scale rice yield estimation using time-series of RADASAT ScanSAR images, International Journal of Remote Sensing, 24(21): 4207-4220.

142) Yeh AGO, Li X. 2003. Error propagation and model uncertainties of cellular automata in urban simulation with GIS. Proceedings of 7th International Conference on GeoComputation, the Department of Geography at the University of Southampton, 8-10 September 2003.

143) Yeh AGO, Li X. 2003. Uncertainties of cellular automata for urban simulationusing GIS. Proceedings ofthe   8th International Conference on Computers in Urban Planning and Urban   Management, Information Technologies for Urban Sustainability and   Prosperity, Center Studies enter for Northeast Asian Studies, Tohoku   University, City of Sendai, Japan, 27 - 29 May, 2003. 59-60.

144) Li X, Yeh AGO. 2002. Neural-network-based cellular automata for simulating multiple land use changes using GIS, International Journal of Geographical Information Science.16(4): 323-343.

145) Li X, Yeh AGO. 2002. Integration of principal components analysis and cellular automata for spatial decisionmaking and urban simulation,Science in China (Series D), 45(6): 521-529.

146) Li X, Yeh AGO. 2002. Urban simulation using principal components analysis and cellular automata for land-use planning, Photogrammetric Engineering & Remote Sensing, 68(4), 341-351.

147) Yeh AGO, Li X. 2002. Urban simulation using neural networks and cellular automata for land use planning, in D. Richardson and P. van Oosterom (eds), Advances in Spatial Data Handling. Springer-Verlag, Berlin, pp.451-464.

148) Yeh AGO, Li X. 2002. A cellular automata model to simulate development density for urban planning,Environment and Planning B, 29, 431-450.

149) Yeh AGO, Li X. 2002. Constrained cellular automata for the planning of sustainable urban development. Proceedings of Geoinformatics'2002: GIS and Remote Sensing in Global Change Studies and Sustainable Development, June 1-3, 2002, Nanjing, China.

150) Li X, Yeh AGO. 2001. Calibration of cellular automata by using neural networks for the simulation of complex urban systems. Environment and Planning A, 33, 1445-1462.

151) Yeh AGO, Li X. 2001. Measurement and monitoring of urban sprawl in a rapidly growing region using entropy, Photogrammetric Engineering & Remote Sensing,67(1),83-90.

152) Li X, Yeh AGO. 2001. Zoning land for agricultural protection by the integration of remote sensing, GIS and cellular automata.Photogrammetric Engineering & Remote Sensing, 67(4), 471-477.

153) Yeh AGO, Li X. 2001. A constrained CA model for the simulation and planning of sustainable urban forms by using GIS. Environment and Planning B, 28, 733-753.

154) Yeh AGO, Li X. 2001.   The need and challenges for compact development in the fast growing   areas in China - the Pearl River Delta, in Mike Jenks and Rod Burgess   (eds), Compact City: Sustainable Urban Form for Developing Countries. SPON Press, London. pp. 73-90.

155) Yeh AGO, Li X. 2001. The simulation of compact cities based on the integration of cellular automata and GIS, in S Bandini and T Worsch (eds), Theoretical and Practical Issues on Cellular Automata.Berlin: Springer-Verlag . pp. 170-178.

156) Yeh AGO, Li X. 2001. Simulation of development density for urban planning using cellular automata, in B Zhao (ed.), Urban Geoinformatics – 2001 International Conference Proceedings, October 16-19, 2001, School of Urban Studies of Wuhan University, Wuhan, China, pp. 9-17.

157) Li X, Yeh AGO. 2000.Modelling sustainable urban development by the integration of constrained cellular automata and GIS,International Journal of Geographical Information Science,14(2), 131-152.

158) Yeh AGO, Li X. 1999. Economic development and agricultural land loss in the Pearl River Delta, China, Habitat International, 23(3), 373-390.

159) Yeh AGO, Li   X. 1999. A decision support system for sustainable land development in   China using remote sensing and GIS - a case study in Dongguan, in   Gregory Kersten, Zbigniew Mikolajuk,Mohammad Rais, Anthony Yeh (eds.), Decision Support System for Sustainable Development, Ottawa: International Development Research Centre (IDRC) and Kluwer Academic Publishers, pp. 73-98.

160) Yeh AGO, Li X. 1999. Measurement of urban sprawl in a rapid growing region using entropy, Proceedings of the International Symposium on Digital Earth, edited by G. Xu and Y. T. Chen, China, Beijing: Science Press, 788-792.

161) Yeh AGO, Li X. 1999. An entropy method to analyze urban sprawl in a rapid growing region using TM images, Proceedings of the 20th Asian Conference on Remote Sensing, Hong Kong: Joint Laboratory for Geoinformation Science of the Chinese   Academy of Sciences and the Chinese University of Hong Kong, pp.542-547.

162) Li X, Yeh AGO. 1998. Principal component analysis of stacked multi-temporal images for the monitoring   of rapid urban expansion in the Pearl River Delta, International Journal of Remote Sensing, 19(8), 1501-1518.

163) Yeh AGO, Li X. 1998. Sustainable land development model for rapid growth areas using GIS, International Journal of Geographical Information Science. 12(2), 169-189.

164) Li X. 1998. Measurement of rapid agricultural land loss in the Pearl River Delta with the Integration of remote sensing and GIS, Environment and Planning B, 25,447-461.

165) Yeh AGO, Li X. 1998. Modelling sustainable urban forms using extended cellular automata and GIS, The Proceedings of The Eighth International Symposium on Spatial Data Handling, Simon Fraser University, Vancouver, Canada, July 11-15 1998, pp. 453-464.

166) Yeh AGO, Li X. 1997. Economic reform and land use changes in Dongguan, the Pearl River Delta, in K. N. Au and K. Lulla (eds.), Hong Kong and the Pearl River Delta As Seen from Space Images, pp.101-110.

167) Yeh AGO, Li X.1997.An   integrated remote sensing and GIS approach in the monitoring and   evaluation of rapid urban growth for sustainable development in the  Pearl River Delta, China, International Planning Studies, 2(2), 193-210.

168) Li X. 1997. A sustainable land allocation model with the integration of remote sensing and GIS - A Case Study in Dongguan, International Journal of Environmental Studies. 53, 325-348.

169) Li X. 1996. A new method to improve classification accuracy with shape information, International Journal of Remote Sensing, 17(8), 1473-1482.

170) Yeh AGO, Li X. 1996.Urban growth management in the Pearl River Delta - an integrated remote sensing and GIS approach, ITC Journal, 1, 77-86.

171) Yeh AGO, Li X. 1995.   An integrated remote sensing and GIS approach in the monitoring and   evaluation of rapid urban growth for sustainable development in the   Pearl River Delta, China, Proceedings of International Workshop on Application of Computers in Urban Planning, Kobe, Japen: Kobe University, 3-5 November, pp. 69-72.

172) Li X. 1994. A two-axis adjusted vegetation index (TWVI), International Journal of Remote Sensing, 15(7), 1447-1458.

173) Yeh AGO, Li X. 1994.   Land use analysis and evaluation using GIS and remote sensing in the   formulation and implementation of sustainable regional development   strategy, in Proceeding of Symposium on Space Technology and Application for Sustainable Development,   United Nations Economic and Social Commission for Asia and Pacific   (UNESCAP) and State Science and Technology Commission of China, 19-21   September, Beijing, pp.2-4-1 to 2-4-14.

174) Li X. 1993. A united model for quantitative remote sensing of suspended sediment concentration, International Journal of Remote Sensing, 14(14), 2665-2676.

175) Yao KY, Gu Q SH, Li X. 1993. The   application of remote sensing in the water environmental management of   Lingdingyang    estuary and waterways in the Pearl River Delta, The Proceedings of International Workshop: the Development of Strategies for Pollution Control in the Pearl River Delta, The British Council, 15-19th February, pp. 50-58.