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SCI 论文( * 为通讯作者)

79. Zhou YL, Wu XC, Ju WM*, Chen JM, Wang SQ, Wang HM, Yunan WP, Black TA, Jassal R, Ibrom A, Han SJ, Yan JH, Margolis H, Roupsard O, Li YN, Zhao FH, Kiely G, Starr G, Pavelka M, Montagnani L, Wohlfahrt G, D’Odorico P, Cook D, Arain MA, Bonal D, Beringer J, Blanken PD, Loubet B, Leclerc MY, Matteucci G, Nagy Z, Olejnik J, Paw KT, Varlagin A, 2016. Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites. Journal of Geophysical Research-Biogeosciences, 121: 1045–1072.

78. Jiang F, Chen JM , Zhou LXJu WMZhang HFMachida TCiais P , Peters W,Wang HM, Chen BZ, 2016. A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches. Scientific Reports, 6,DOI: 10.1038/srep22130.

77. Zhang Q, Ju WM, Chen JM, Wang HM, Yang FT, Fan WL, Huang Q, Zheng T, Feng YK, Zhou YL, He MZ, Qiu F, Wang, XJ, Wang J, Zhang FM, Chou SR, 2015. Ability of the photochemical reflectance index to track light use efficiency for a sub-tropical planted coniferous forest. Remote Sensing, 7(12): 16938-16962.

76. Zhang CH, Ju WM*, Chen JM, Wang XQ, Yang L, Zheng G, 2015. Disturbance- induced reduction of biomass carbon sinks of China's forests in recent years. Environmental Research Letters, 10(11), Doi: 10.1088/1748-9326/10/11/114021.

75. Chen ZQ, Chen JM, Zheng XG, Jiang F, Qin J, Zhang SP, Yuan WP, Ju WM, Mo G, 2015. Optimizing photosynthetic and respiratory parameters based on the seasonal variation pattern in regional net ecosystem productivity obtained from atmospheric inversion. Science Bulletin, 60(22): 1954-1961.

74. Li DQ, Ju WM*, Lu DS, Zhou YL, Wang HM. Impact of estimated solar radiation on gross primary productivity simulation in subtropical plantation in southeast China. SOLAR ENERGY, 2015,120: 175-186.

73. Liu YB, Xiao JF, Ju WM*, Zhou YL, Wang SQ, Wu XC, 2015. Water use efficiency of China's terrestrial ecosystems and responses to drought. Scientific Reports, 5, DOI: 10.1038/srep13799.

72. Fang MH, Ju WM*, Liu XN, Yu ZF, Qiu F, 2015. Surface chlorophyll-a concentration spatio-temporal variations in the Northern South China sea detected using MODIS data. Terrestrial, atmospheric and Oceanic Sciences, 26(3): 319-329.

71. Zhou YL, Xing BL, Ju WM*, 2015. Assessing the impact o urban sprawl on net primary productivity of terrestrial ecosystems using a process-based model-A case study in Nanjing, China. IEEE Journal of Selected Topics in Applied Earth  Observations and Remote Sensing, 8(5): 1-14.

70.Wu XC, Ju WM*, Zhou YL, He MZ, Law BE, Black TA, Margolis HA, Cescatti A, Gu LH, Montagnani L, Noormets A, Griffis TJ, Pilegaard K, Varlagin A, Valentini R, Blanken PD, Wang SQ, Wang HM, Han SJ, Yan JH, Li YN, Zhou BB, Liu YB, 2015. Performance of linear and nonlinear two-leaf light use efficiency models at different temporal scales. Remote Sensing,7(3): 2238-2278.

69. Zhang FM, Chen JM, Pan YD, Birdsey RA, Shen SH, Ju WM, Dugan AJ, 2015. Impacts of inadequate historical disturbance data in the early twentieth century on modeling recent carbon dynamics (1951-2010) in conterminous US forests. Journal of Geophysical Research-Biogeosciences, 120(3):549- 569, DOI:10.1002/2014JG002798.

68. Fang MH, Ju WM*, 2015. A inversion model for remote sensing of leaf water content based on the leaf optical property. Spectroscopy and Spectral Analysis, 35(1): 167-171, DOI :10.3964/3.issn.1000-0593(2015)01-0167-05.

67. Huang F, Zhan WF, Ju WM, Wang ZH, 2014. Improved reconstruction of soil thermal field using two-depth measurements of soil temperature. Journal of Hydrology, 519: 711-719, DOI: 10.1016/j.jhydrol.2014.08.014.

66. Zhan WF, Ju WM, Hai SP, Ferguson G, Quan JL, Tang CS, Guo Z, Kong FH, 2014. Satellite-derived subsurface urban heat island. Environmental Science &Technology, 48(20):12134-12140, DOI: 10.1021/es50211851.

65. Sun SL, Chen HS, Ju WM, Hua WJ, Yu M, Yin YX, 2014. Assessing the future hydrological cycle in the Xinjiang Basin, China, using a multi-model ensemble and SWAT model. International Journal of Climatology, 34(9): 2972- 2987, DOI: 10.1002/joc.3890.

64. Huang F, Zhan WF, Duan SB, Ju WM, Quan JL, 2014. A generic framework for modeling diurnal land surface temperatures with remotely sensed thermal observations under clear sky. Remote Sensing of Environment, 150: 140-151, DOI: 10.1016/j.rse.2014.04.022.

63. Jiang F, Wang HM, Chen JM, Machida T, Zhou LX, Ju WM, Matsueda H, Sawa  Y, 2014. Carbon balance of China constrained by CONTRAIL aircraft CO2 measurements. Atmospheric Chemistry and Physics, 14(18),10133-10144, DOI: 10.5194/acp-14-10133-2014.

62. Li MW, Wang YX, Ju WM, 2014. Effects of a remotely sensed land cover dataset with high spatial resolution on the simulation of secondary air pollutants over China using the nested-grid GEOS-chemical transport model. Advances in Atmospheric Sciences, 2014, 31(1): 179-187, DOI: 10.1007/s00376-013-2290-1.

61. Zhan WF, Zhou J, Ju WM, Li MC, Sandholt I, Voogt J, and Yu C, 2014. Remotely sensed soil temperatures beneath snow-free skin-surface using thermal observations from tandem polar-orbiting satellites: An analytical three-time-scale model. Remote Sensing of Environment, 143, 1-14.

60. Zhan CH, Ju WM*, Chen JM, Li DQ, Wang XC, Fan WY, Li MS, and Zan M, 2014. Mapping forest stand age in China using remotely sensed forest height and observation data. Journal of Geophysical Research-Biogeosciences, 119 1163-1179.

59. Liu YB., Zhou YL, Ju WM*, Wu XC, He MZ, and Zhu GL., 2014. Impacts of droughts on carbon sequestration by China’s terrestrial ecosystems from 2000 to 2011. Biogeosciences, 11, 2583-2599.

58. Zhu GL., Ju WM*, Chen JM, and Liu YB, 2014. A novel moisture adjusted vegetation index (MAVI) to reduce background reflectance and topographical effects on LAI retrieval. PLOS ONE, 9(7): e102560. doi:10.1371/journal.pone.0102560

57 Li DQ, Ju WM*, Fan WY, and Gu ZJ, 2014. Estimating the age of deciduous forests in northeast China with Enhanced Thematic Mapper Plus data acquired in different phonological seasons. Journal of Applied Remote Sensing, 8, 083670,1-20

56. ZhouYL, Ju WM*, Sun XM, Hu ZM, Han SJ, Black TA, Jassal RS, and WU XC, 2014. Close relationship between spectral vegetation indices and V-cmax in deciduous and mixed forests. Tellus B, 66, DOI: 10.3402/tellusb.v66.23279.

55. Zhang FM, Ju WM, Shen SH, Wang SQ, Yu GR, and Han SJ. 2014. How recent climate change influence water use efficiency in East Asia. Theoretical and Applied Climatology  116(1-2), 359-370.

54. Wu CY, Hember RA., Chen JM, Kurz WA, Price DT, Boisvenue C, Gonsamo A., and Ju WM, 2014. Accelerating forest growth enhancement due to climate and atmospheric changes in British Colombia, Canada over 1956-2001. Scientific Reports, 4: 10.1038/srep04461.  

53. Sun SL, Chen HS, Ju WM, Yu M, Hua WJ, and Yin Y, 2014. On the attribution of the changing hydrological cycle in Poyang Lake Basin, China. Journal of Hydrology, 514: 214-225.

52. Fan WL, Chen JM, Ju WM, and Nesbitt N, 2014. Hybrid geometric optical radiative transfer model suitable foe forests on slopes. IEEE Transaction on geosciences and remote sensing. 52(9): 5579-5586.

51. Fan WL., Chen JM, Ju WM, and Zhu GL., 2014. GOST: A geometric-optical model for sloping terrains. IEEE Transaction on geosciences and remote sensing. 52(9): 5469-5482.

50. Zhan WF, Zhou J, Ju WM, Li MC, Sandholt I, Voogt  J, and Yu C, 2014. Remotely sensed soil temperatures beneath snow-free skin-surface using thermal observations from tandem polar-orbiting satellites: An analytical three-time-scale model. Remote Sensing of Environment, 143, 1-14.

49. Mu S.J., Zhou S.X., Chen Y.Z., Li J.L, Ju W.M., and Odeh I.,2013.Assessing the impact of restoration-induced land conversion and management alternatives on net primary productivity in Inner Mongolia grassland, China. Global and Planetary Chang,108: 29-41.

48. Fan W.L., Ju W.M.*, and Gu Z.J., 2013. Method for reconstructing the pixel missing region on remote sensing images. Journal of Applied Remote Sensing, 073536-1.

47. Liu Y.B., Zhou Y.L. *, Ju W.M., Chen J.M., Wang S.Q., He H.L., Wang H.M., Guan D.X., Zhao F.H., Li Y.L., and Hao Y.B., 2013. Evapotranspiration and water yield over China’s landmass from 2000 to 2010. Hydrol. Earth Syst. Sci, 2013, 17:4957–4980.

46. Chen JM, Chen X, and Ju W, 2013. Effects of vegetation heterogeneity and surface topography on spatial scaling of net primary productivity. Biogeosciences, 10, 4879-4896.

45. Zhang FM, Ju WM, Shen SH, Wang SQ, Yu GR, and Han SJ. 2013. How recent climate change influence water use efficiency in East Asia. Theoretical and Applied Climatology (in press).

44. Sun SL, Chen HS, Ju WM, Son J, Zhan H,Sun J, and Fang YJ, 2013. Effects of climate change on annual streamflow using climate elasticity in Poyang Lake Basin, China. Theoretical and Applied Climatology, 112, 169-183.

43. He MZ, Ju WM*, Zhou YL, Chen JM, He HL, Wang SQ, Wang HM, Guan DX, Yan JH, Li YN, Hao YB, Zhao FH, 2013. Development of a two-leaf light use efficiency model for improving the calculation of terrestrial gross primary productivity. Agricultural and Forest Meteorology ,173, 28-39.

42. Zhang Z, Jiang H, Liu JX, Ju WM, Zhang XY, 2013. Effect of heterogeneous atmospheric CO2 on simulated global carbon budget. Global and Planetary Change, 101, 33-51.

41. Zhang CH, Ju WM*, Chen JM, Zan M, Li DQ, Zhou YL, Wang XQ, 2013. China’s forest biomass carbon sink based on seven inventories from 1973 to 2008. Climatic Chang, 118, 933-948.

40. Liu YB, Ju WM*, He HL, Wang SQ, Sun R, and Zhang YD, 2013. Changes of net primary productivity in China during recent 11 years using an ecological model driven by MODIS data. Frontier of Earth Sciences, DOI 10.1007/s11707-012-0348-5 (in press).

39. Gu ZJ, Ju WM*, Li L, Li DQ, Liu YB, Fan WL, 2013. Using vegetation indices and texture measures to estimate vegetation fractional coverage (VFC) of planted and natural forests in Nanjing City, China. Advances in Space Research, 51,1186-1194.

38.He MZ, Zhou YL, Ju WM*, Chen JM, Zhang L, Wang SQ, Saigusa N, Hirata R, Murayama S, Liu YB, 2013. Evaluation and improvement of MODIS gross primary productivity in typical forest ecosystems of East Asia based on eddy covariance measurements. Journal of Forest Research, 18, 31-40.

37. Liu Y, Liu RG, Chen JM, Ju WM, 2012. Expanding MISR LAI products to high temporal resolution with MODIS observations. IEEE Transactions on Geosciences and Remote Sensing, 50(10Part1): 3915-3927.

36. Zhou YL, Sun XM, Ju WM, Wen XF, Guan DX, 2012. Seasonal, Diurnal and wind-direction-dependent variations of the aerodynamic roughness length in two typical forest ecosystems of China. Terrestrial Atmospheric and Oceanic Sciences, 23(2):181-191.

35. Sun XL,Chen HS, Ju WM, Song J, Li JJ, Ren YJ, and Sun J, 2012. Past and future changes of streamflow in Poyang Lake Basin, Southeastern China. Hydrological Earth System Sciences, 16, 2005-2020.

34. Zhang FM, Chen JM, Pan YD, Birdsey RA, Shen SH, Ju WM, He LM, 2012. Attributing carbon changes in conterminous U.S. forests to disturbance and non-disturbance factors from 1901 to 2010. Journal of Geophysical Research-Biogeosciences, 117, DOI: 10.1029/2011jg001930.

33. Zhang FM, Ju WM, Shen SH, Wang SQ, YU GR, Han SJ, 2012. Variations of Terrestrial Net Primary Productivity in East Asia. Terrestrial Atmospheric and Oceanic Sciences, 23(4): 425-437.

32. Gu ZJ, Ju WM*, Liu YB, Li DQ, Fan WL, 2012. Applicability of spectral and spatial information from IKONOS-2 imagery in retrieving leaf area index of forests in the urban area of Nanjing, China. Journal of Applied Remote Sensing, 6,063556.

31. Zhou YL, Ju WM*, Sun XM, Wen XF, and Guan DX, 2012. Significant decrease of uncertainties on sensible heat flux simulation using temporally variable aerodynamic roughness in two typical forest ecosystems of China. Journal of Applied Meteorology, 51(6): 1099-1110.

30. Liu YB, Ju WM, Chen JM, Zhu GL, Xing BL, Zhu JF, 2012. Spatial and temporal variations of forest LAI in China during 2000-2010. Chinese Science Bulletin, 57(22): 2846-2856.   

29. Zhu GL, Ju WM*, Chen JM, Gong P, Xing BL, Zhu JF, 2012. Foliage Clumping Index Over China's Landmass Retrieved From the MODIS BRDF Parameters Product. IEEE Transactions on Geosciences and Remote Sensing, 50(6), 2122-2137.

28. Ju WM*, Chen JM, Black TA, Barr AG, and McCaughey H. 2010. Spatially simulating changes of soil water content and their effects on carbon sequestration in Canada’s forests and wetlands. Tellus 62B, 140-159.

27. Ju WM*, Wang S, Yu G, Zhou Y, and Wang, 2010. Modelling the impact of drought on canopy carbon and water fluxes for a subtropical evergreen coniferous plantation in southern China through parameter optimization using an ensemble Kalman filter. Biogeosciences. 7, 845-857.

26. Ju WM*, Gao P, Zhou YL, Chen JM, Chen S, and Li XF, 2010. Prediction of summer grain crop yield with a process-based ecosystem model and remote sensing data for the northern area of Jiangsu Province, China. International Journal of Remote Sensing, 31(6):1573-1587.

25. Ju WM*, Gao P, Wang J, and Zhang XH, 2010. Combing an ecological model with remote sensing and GIS techniques to monitor soil water content of croplands with a monsoon climate. Agricultural Water Management ,97, 1221-1231.

24. Wang J, Chen JM, Ju WM, Li MC, 2010. IA-SDSS: A-GIS-based land use decision support system with consideration of carbon sequestration. Environmental Modelling and Software ,25,539-553.

23. Ma RH, Duan HT, Hu CM, Feng XZ, Li AN, Ju WM, Jiang JH, and Yang GS, 2010. A half-dentury of changes in China’s lakes: Global warning or human influces? Geophysical Research Letters, 37, L24106, doi: 10.1029/2010GL045514.

22. Chen, J. M., Huang, S., Ju WM., D. Goumont-Guay, and T. A. Black. 2008. Daily heterotrophic respiration model considering the non-linear effect of diurnal temperature variability. Journal of Geophysical Research-Biogeosciences, 114, G01022, doi:10.1029/2008JG000834, 2009.

21. Govind A, Chen JM, Margolis H, Ju WM, Sonnentag O, and Giasson M-A, 2009. A spatially explicit hydro-ecological modeling framework (BEPS-TerranLab V2.0): Model description and test in a boreal ecosystem in Eastern North America. Journal of Hydrology ,367: 200-216.

20. Govind A, Chen JM, and Ju WM. 2009.Spatially explicit simulation of hydrologically controlled carbon and nitrogen cycles and associated feedback mechanisms in a boreal ecosystem. Journal of Geophyscial Research ,114, G02006, doi:10.1029/2008JG000728.

19. Sonnentag O, Chen JM, Ju WM, and A Govind, 2008. Spatially explicit simulation of peatland hydrology and carbon dioxide exchange: Influence of mesoscale topography. Journal of Geophysical Research, 113: G02005, doi: 10.1029/2007JG000605.

18. Mo XG, Chen JM, Ju WM, and Black TA, 2008. Optimization of ecosystem model parameters through assimilating eddy covariance flux data with an ensemble Kalman filer. Ecological Modelling, 217: 157-173.

17. Ju WM* and Chen JM, 2008. Simulating the effects of past changes in climate, atmospheric composition, and fire disturbance on soil carbon in Canada’s forests and wetlands. Global biogeochemical Cycles, 22, GB3010, doi:10.1029/2007GB002935.

16. Chen BChen JM, and Ju WM , 2007. Remote sensing-based ecosystem-atmosphere simulation scheme (EASS)-Model formulation and test with multiple-year data. Ecological Modelling, 2007, 209: 277-300.

15. Wang SQ, Chen JM, Ju WM, Feng XF, Chen MZ, Chen PQ, and Yu GR., 2007. Carbon sinks and sources of China’s forests during 1901-2001. Journal of Environmental Management, 85: 524-537.

14. Ju WM*, Chen JM, Harvey D, and Wang S, 2007. Future carbon balance of China’s forests under climate change and increasing CO2. Journal of Environmental Management, 85: 538-562.

13. Caldwell I, Maclaren V, Chen JM, Ju WM, Zhou S, and Yin Y, 2007. An integrated assessment model of carbon sequestration benefits: a case study of Liping County, China. Journal of Environmental Management, 85: 757-773.

12. Chen XF, Chen JM, An SQ, and Ju WM, 2007. Effects of topography on simulating net primary productivity at landscape scale. Journal of Environmental Management, 85: 585-596 .

11. Zheng G, Chen JM, Tian QJ, Ju WM, and Xia XQ, 2007. Combing remote sensing imagery and forest age inventory for biomass mapping, Journal of Environmental Management, 85: 616-623.

10. Shao YH, Pan JJ, Yang LX, Chen JM, Ju WM, and Shi XZ, 2007. Validation of soil organic carbon density using the InTEC model. Journal of Environmental Management, 85: 696-701).

9. Feng XF, Liu GH, Chen JM, Chen MZ, Liu J, Ju WM, Sun R, Zhou W, 2007. Simulating net primary productivity of terrestrial ecosystems in China. Journal of Environmental Management, 85: 562-575.

8. Yang LX, Pan JJ, Shao YH, Chen JM, Ju WM, Shi XZ, Yuan SF, 2007. Soil organic decomposition and carbon pools in temperate and sub-tropical forests in China. Journal of Environmental Management, 85: 690-695.

7. Ju WM*, Chen JM, Black TA, Barr AG, Liu J, and Chen B, 2006. Modelling multi-year coupled carbon and water fluxes in a boreal aspen forest. Agricultural and Forest Meteorology, 140: 136-151.

6. Ju WM*, Chen , JMBlack TA, Barr AG, McCaughey H, and Roulet NT, 2006. Hydrological effects on carbon cycles of Canada’s forests and wetlands. Tellus 58B: 16-30.

5. Wang QF, Niu D, Yu GR, Ren CY, Wen XF, Chen JM, and Ju WM, 2005. Simulating the exchanges of carbon dioxide, water vapor and heat over Changbai Mountains temperate broadleaved Korean pine mixed forest ecosystem. Science in China Series D48: 148-159 Supp l.1.

4. Ju WM*, Chen JM, 2005. Distribution of soil carbon stocks in Canada’s forests and wetlands simulated based on drainage class, topography and remotely sensed vegetation parameters. Hydrological Processes, 19: 77-94.

3. Chen JM, Chen X, Ju, WM ,Geng, X, 2005. Distributed hydrological model for mapping evapotranspiration using remote sensing inputs. Journal of Hydrology, 305: 15-39.

2. Chen JM, Ju WM, Cihlar J, Price D, Liu J, Chen WJ, Pan J, Blcak A and Barr A, 2003, Spatial distribution of carbon sources and sinks in Canada’s forests. Tellus 55B: 622-641.

1. Jin L, Ju WM, and Miao QL, 2000. Study on ANN-based multi-step prediction model of short-term climatic variation. Advances in Atmospheric Sciences 17:157-164.

²  EI 论文

14. Liu YB, Ju WM, He MZ, Zhu GL, Zhou YL, 2012. Decrease of net primary productivity in China's terrestrial ecosystems caused by severe droughts in 2009. Proceedings of the 2nd International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2012, 59-63.

13. Xu JH, Ju WM, Hu ZW, 2012. Object-oriented land cover classification of HJ-1B CCD image through multiple classifier fusion. Proceedings –the 20th International Conference on Geoinformatics, Geoinformatics 2012.

12. Zhu YJ,Ju WM, Zhou YL.2011.Impacts of ice storm on forest gross primary productivity detected using multi-source remote sensing data.Proceedings of Geoinformatics 2011.

11. Fang WL,Chen JM,Ju WM.2011. A pixel missing patch inpainting method for remote sensing image.Proceedings of Geoinformatics 2011.

10. Li DQ,Li XF,Ju WM.2011.Interaction between water and carbon cycles in Lushui River simulated using an ecological model driven by remote sensing. Proceedings of Geoinformatics 2011.

9. Ma JD,Ju WM.2011. Mapping leaf index for the urban area of Nanjing city, China using IKONOS remote sensing data. Proceedings of Geoinformatics 2011.

8. Zhu GL, Ju WM, Chen JM, Zhou YL, Li XF, Xu XX. Comparison of Forest Leaf Area Index Retrieval Based on Simple Ratio and Reduced Simple Ratio. 2010, Proceedings of Geoinformatics 2010.

7. Xing BL, Ju WM, Zhou YL, Zhu GL, Li XF, Liu YB, Zhu JF. The Comparison of different methods to measure leaf area index of forests in Maoershan Mountain, northeastern China. 2010, Proceedings of Geoinformatics 2010 . 

6. Zhu JF, Ren Y, Ju WM. Effects of land cover types and forest age on evapotranspiration detected by remote sensing in Xiamen City, China. 2010, Proceedings of Geoinformatics 2010.

5. He MZ, Zhou YL, Liu GH, Weimin Ju, Li XF, Zhu GL. Validation of MODIS gross primary productivity for a subtropical coniferous plantation in southern China. 2010, Proceedings of Geoinformatics 2010.

4. Wang J, Ju WM, Li MC, 2009. Characterizing urban growth of Nanjing, China, by using multi-stage remote sensing images and landscape metrics. Proceedings of 2009 Urban Remote Sensing Joint Event .

3. Ju WM, Gao P, Wang J, Li XF, and Chen S, 2008. Assimilation of remote sensing data into a process-based ecosystem model for monitoring changes of soil water content in croplands. Proceedings of SPIE 0277-786X, v.7145, 714517, Geoinfomatics 2008 and Joint Conference on GIS and Built Environment.

2. Zhang CL, Yu H, Gong P, Ju WM, and Pei H, 2008. Remote sensing-based study on the relationship between land brightness temperature and vegetation abundance in Wuhan city. Proceedings of SPIE 0277-786X, v.7147, dx.doi.org/10.1117/12.8133251 Geoinfomatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images.

1. Wang J, Chen JM, Li MC, Ju WM, 2007. GIS-based integrated assessment and decision support system for land use planning in consideration of carbon sequestration benefits.. Proceedings of SPIE 0277-786X, v.6754, Geoinfomatics 2007 : Geospatial information Technology and Applications.

中文论文

50.昝梅,李登秋,居为民,王希群,陈蜀江,2013.新疆喀纳斯国家自然保护区植被叶面积指数观测与遥感估算. 生态学报, 33 (15):4744-4757.

48.昝梅,李登秋,居为民,王希群, 2013. 基于HJ-CCD影像数据的新疆喀纳斯自然保护区植被叶面积指数估算.   冰川冻土, 35(4):1-10

47.黄金龙, 居为民,郑光,康婷婷, 2013. 基于高分辨率遥感影像的森林地上生物量估算. 生态学报33(20): 6497-6508.

46.朱高龙,柳艺博,居为民,陈镜明,2013. 4种常用植被指数的地形效应评估. 遥感学报17(1): 222-234.

45.吴国训,阮宏华,李显风,居为民,耿君,2013. 基于MODIS反演的2000-2011年江西省植被叶面积指数时空变化特征. 南京林业大学学报(自然科学版)37(1): 11-17.

44.张春华,王宗明,居为民,任春颖, 2012. 松嫩平原玉米带农田土壤氮密度时空格局.应用生态学报, 23(4):1220-1229.

43. 张方敏, 居为民, 陈镜明, 王绍强, 于贵瑞, 韩士杰, 2012. 基于遥感和过程模型的亚洲东部陆地生态系统初级生产力分布特征. 应用生态学报, 23(2):307-318.

42. 邢白灵,居为民,朱高龙,柳艺博,朱敬芳,何明珠,2012.呼伦贝尔草原植被覆盖度地面实测与遥感估算研究. 江西农业学报, 24(5): 142-147.

41. 刘昭,周艳莲,居为民,高平,2011. 基于BEPS生态模型模拟农田土壤水分动态模拟.农业工程学报27(3):67-72.

40.刘昭,周艳莲,居为民,高平,2011. 基于集合卡尔曼滤波同化方法的农田土壤水分模拟.应用生态学报22(11):2943-2593.

39.张春华,王宗明,居为民,任春颖,2011.松嫩平原玉米带土壤碳氮比的时空变异特征,环境科学32(5):1407-1414.

38.朱高龙,李明泽,居为民,陈镜明,吴中忠,2011.HJ-1CCDLandsat-5 TM在森林叶面积指数反演中的比较分析. 东北林业大学学报39(1):127-130.

37.陈崇, 朱延钧,居为民2011.基于赤池信息准则和人工神经网络的亚热带森林郁闭度遥感估算.江西农业学报235):149-153

36.陈崇,朱延钧,李显风,居为民, 2011. 不同叶面积指数遥感反演方法对红壤丘陵区森林的适用性分析. 江西农业大学学报, 333):0508-0513.

35.朱敬芳,邢白灵,居为民,朱高龙,柳艺博,2011.内蒙古草原植被覆盖度遥感估算,植物生态学报35(6): 615-622.

34.朱高龙, 居为民, 陈镜明, 柳艺博, 朱敬芳,  邢白灵,2011. 利用POLDER数据验证MODIS BRDF模型参数产品及Ross-Li模型. 遥感学报, 15, 875-894.

33.柳艺博, 居为民, 朱高龙, 陈镜明, 邢白灵, 朱敬芳, 周艳莲,2011. 内蒙古不同类型草地叶面积指数遥感估算. 生态学报, 31, 5159-5170.

32.张方敏,居为民,陈镜明,王绍强,于贵瑞,李英年,韩士杰, J.Asanuma,2010.基于BEPS生态模型对亚洲东部地区蒸散量的模拟.自然资源学报,25(9):1596-1606.

31朱高龙,居为民JingM. Chen,范文义,周艳莲,李显风,李明泽, 2010.帽儿山地区森林冠层叶面积指数的地面观测与遥感反演.应用生态学报, 21(8):2117-2124.

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