论文发表:

SCI论文(*为通讯作者):

  • 88. Fang MH, Ju WM*, Zhan WF, Chen T, Qiu F, and Wang J, 2017. A new spectral similarity water index for the estimation of leaf water content from hyperspectral data of leaves. Remote Sensing of Environment, 196: 13-27.

  • 87. Zhan Q, Chen JM, Ju WM*, Wang HM, Qiu F, Yang FT, Fan WL, Huang Q, Wang YP, Feng YK, Wang XJ, and Zhang FM, 2017. Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves. Remote Sensing of Environment, 194: 1-15.

  • 86. Wang J, Chen JM, Ju WM, Qiu F, Zhang Q, Fang MH, and Chen FG, 2017. Limited effects of water absorption on reducing the accuracy of leaf nitrogen estimation. Remote Sensing, 9, 291; doi:10.3390/rs9030291.

  • 85. Gao L, Zhan WF, Huang F, Quan JL, Lu XM, Wang F, Ju WM, and Zhou J, 2017. Localization or globalization? Determination of the optimal regression window for disaggregation of land surface temperature. IEEE Transactions on Geosciences and Remote Sensing, 55(1):477-490.

  • 84. Zhou YL, Hilker T, Ju WM, Coops NC, Black TA, Chen JM, and Wu XC, 2017. Modeling gross primary production for sunlit and shaded canopies across an evergreen and a deciduous site in Canada. IEEE Transactions on Geosciences and Remote Sensing, 55(4):1859-1873.

  • 83. Shi XL, Nie SP, Ju WM, and Yu L, 2016. Climate effects of the globalLand30 land cover dataset on the Beijing center climate model simulations. Science China-Earth Sciences, 59: 1754-1764.

  • 82. Zhan WF, Huang F, Quan JL, Zhu XL, Gao L, Zhou J, and Ju WM, 2016. Disaggregation of remotely sensed land surface temperature: A new dynamic methodology. Journal of Geophysical Research-Atmospheres, 121, doi:10.1002/2016JD024891.

  • 81. Liu YB, Xiao JF, Ju WM, Xu K, Zhou YL, and Zhao YT, 2016. Recent trends in vegetation greenness in China significantly altered annual evapotranspiration and water yield. Environmental Research Letters, 11, doi:10.1088/1748-9326/11/9/094010.

  • 80. 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.

  • 79. Jiang F, Chen JM , Zhou LX, Ju WM, Zhang HF, Machida T, Ciais 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.

  • 78. 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.

  • 77. 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.

  • 76. 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.

  • 75. 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.

  • 74. 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.

  • 73. 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.

  • 72. 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.

  • 71. 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.

  • 70. 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.

  • 69. 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.

  • 68. 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.

  • 67. 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.

  • 66. 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.

  • 65. 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.

  • 64. 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.

  • 63. 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.

  • 62. 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.

  • 61. 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.

  • 60. 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.

  • 59. 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.

  • 58 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.

  • 57. 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.

  • 56. 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.

  • 55. 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.

  • 54. 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.

  • 53. 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.

  • 52. 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.

  • 51. 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.

  • 50. Mu SJ, Zhou SX, Chen YZ, Li JL, Ju WM, 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.

  • 49. Fan WL, Ju WM*, and Gu ZJ, 2013. Method for reconstructing the pixel missing region on remote sensing images. Journal of Applied Remote Sensing, 073536-1.

  • 48. Liu YB, Zhou YL, Ju WM, Chen JM, Wang SQ, He HL, Wang HM, Guan DX, Zhao FH, Li YL, Hao YB, 2013. Evapotranspiration and water yield over China’s landmass from 2000 to 2010. Hydrol. Earth Syst. Sci, 2013, 17:4957–4980.

  • 47. 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.

  • 46. 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..

  • 45. 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..

  • 44. 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.

  • 43. 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..

  • 42. 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 .

  • 41. 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..

  • 40.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..

  • 39. 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..

  • 38. 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..

  • 37. 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..

  • 36. 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.

  • 35. 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..

  • 34. 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..

  • 33. 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.

  • 32. 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..

  • 31. 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..

  • 30.Wang SQ, Zhou L, Chen JM, Ju WM,Feng XF,and Wu WX.2011. Relationships between net primary productivity and stand age for several forest types and their influence on China's carbon balance. Journal of Environmental Management,92,1651-1662(SCI).

  • 29.Huang ML, Jinag H,Ju WM, Xiao XY. 2011. Ultraviolet Radiation over two lakes in the middle and lower reaches of the Yangtze River, China: an innovative model for UV estimation. Terr.Atmos. Ocean. Sc., 22(5):491-506(SCI).

  • 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(SCI).

  • 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(SCI).

  • 26.Ju WM*, Gao P, Yanglian Zhou, Jing M Chen, Shu Chen, and Xianfeng Li, 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(SCI).

  • 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(SCI).

  • 24.J Wang, Jingming Chen , Ju WM, Manchun Li, 2010. IA-SDSS: A-GIS-based land use decision support system with consideration of carbon sequestration. Environmental Modelling and Software ,2010,539-553(SCI).

  • 23.Ma Ronghu, Duan Hongtao, Hu Chuanmin, Feng Xuezhi, Li Ainong,Ju WM,Jiang Jiang Jiahu, and Yang Guidhang. A half-dentury of changes in China’s lakes: Global warning or human influces? Geophysical Research Letters, 37, L24106, doi: 10.1029/2010GL045514(SCI).

  • 22.Chen, JM, 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 B,Chen 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!ˉs forests during 1901-2001.Journal of Environmental Management, 85: 524-537. 11Ju WM., Chen JM, Harvey D, and Wang S, 2007. Future carbon balance of China’s Journal of Environmental Management, forests under climate change and increasing CO 2.85: 538-562.

  • 14.Ju WM*, Chen JM, Harvey D, and Wang S, 2007. Future carbon balance of China's Journal of Environmental Management,
    forests under climate change and increasing CO2. 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, andJu 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 JM, Black TA, Barr AG, McCaughey H, and Roulet NT, 2006. Hydrological effects on carbon cycles of Canada!ˉs 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

EI论文:

  • 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 (EI).

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

  • 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 (EI).

  • 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 (EI).

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

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

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

  • 5. He MZ, Zhou YL, Liu GH, Ju WM, Xianfeng Li, Gaolong Zhu.2010. Validation of MODIS gross primary productivity for a subtropical coniferous plantation in southern China. Proceedings of Geoinformatics 2010 (EI).

  • 4. Wang J, Ju WM, Mancun Li. 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 Geoinfomatics 2008 and Joint croplands. Proceedings of SPIE 0277-786X, v.7145, 714517, 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 Proceedings of SPIE 0277-786X, v.7147, dx.doi.org/10.1117/12.8133251 Wuhan city. 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 Geoinfomatics 2007 : SPIE 0277-786X, v.6754, Geospatial information Technology and Applications.

中文论文:

  • 50.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.

  • 49.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.

  • 48.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.

  • 47.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.

  • 46.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.

  • 45.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.

  • 44.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,23(5):149-153.

  • 43.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, 33(3):0508-0513.

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

  • 41.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研究.生态学报,31(18):5159-5170.

  • 40.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.农业工程学报,27(3):67-72.

  • 39.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.

  • 38.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,32(5):1407-1414.

  • 37.朱高龙,居为民,陈镜明,柳艺博,朱敬芳,邢白灵.2011.利用POLER数据验证MODIS BRDF模型参数产品及Ross-Li模型.遥感学报,15(5):885-894.

  • 36.朱高龙,李明泽,居为民,陈镜明,吴中忠.2011.HJ-1CCD与Landsat-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.

  • 35.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.

  • 34.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.

  • 33.张琳琳,孔繁花,尹海伟,孙振如,庄艳美,居为民,2010. 基于景观空间指标与移动窗口的济南城市空间格局变化. 生态学杂志,29(8): 1591-1598.

  • 32.李显风,居为民,陈姝,周艳莲. 2010.地表覆盖分类数据对区域森林叶面积指数反演的影响. 遥感学报,14(5):974-989.

  • 31.曾凯,居为民,涂良瑛,王尚明,张崇华,张清霞,2010.2006—2007年南昌市城郊地带的酸雨特征.农业环境科学学报,2010,29(3):609-612.

  • 30.陈 姝,居为民. 常熟市土地利用覆盖变化研究.江苏农业科学, 2010(1): 352-355.

  • 29.周蕾,王绍强,陈镜明,冯险峰,居为民,伍卫型,2009.1991年至2000年中国陆地生态系统蒸散时空分布特征. 资源科学,31(6):962-972.

  • 28.陈新芳,居为民,陈镜明,任立良,陆地生态系统碳水循环的相互作用及其模拟,生态学杂志,28(8):1630-1639.

  • 27.曾凯,王尚明,张崇华,胡逢春,张清霞,居为民,2009,南方稻田生态系统产量形成期CO2通量的研究,中国农学通报,25(15):219-222.

  • 26.张春玲,余华,宫鹏,居为民,基于遥感的土地利用空间格局分布与地表温度的关系,遥感技术与应用,23(4): 378-384.

  • 25.陈 姝,居为民,李显风. 2009.常熟市土地利用变化对生态服务价值的影响.水土保持研究, 16(5): 93-97.

  • 24.张旭辉,高苹,居为民,王筛强,王健林,武金岗,2008. 小麦赤霉病气象等级预报模式研究,安徽农业科学,36(23): 10030-10032.

  • 23.郑光,田庆久,陈镜明,居为民,夏学齐,2006,结合树龄信息的遥感森林生态系统生物量制图,遥感学报,10(6):932-941.

  • 22.高苹,居为民,武金岗,吴洪颜,2002,气象型病虫害预报系统,江苏农业科学,3::45-48.

  • 21.高苹,居为民,陈宁,金龙,2001.人工神经网络在赤霉病预报中的应用研究. 中国农业气象, 21(4), 21-24.

  • 20.居为民,高苹, 武金岗,2001. 太湖地区小麦赤霉病与南方涛动的关系及其预报, 科技通报, 17(3), 22-26

  • 19.高苹,居为民,武金岗,吴洪颜,2001,气象型病虫害预报系统,江苏农业科学,3:45-48.

  • 18.居为民,高苹,陈宁,金龙,2000,神经网络预报模型参数对赤霉病预报精度的影响,气象,26(12), 12-15.

  • 17.居为民,高苹,2000,气象条件对小麦纹枯病发生影响的研究,气象,26(2), 50-53.

  • 16.张旭辉,居为民,2000,近40年江苏省干旱发生规律的研究,灾害学,15(3), 42-45.

  • 15.居为民,高苹,武金岗,2000,菌核病预报方法的预计,植保技术与推广,20(1), 4-6.

  • 14.居为民,高苹,武金岗,2000,气候条件对麦类纹枯病发生趋势影响的研究,植物保护,26(2), 20-22.

  • 13.张中义,刘聪,居为民,2000,南京长江二桥设计风速计算,气象科学,20(2), 200-205.

  • 12.居为民,高苹,2000,赤道太平洋海温异常与太湖地区赤霉病,气象科学,20(4), 511-515.

  • 11.徐萌,居为民,唐勇,1999,应用遥感图像城市惹到效应检测沪宁高速公路大雾,遥感信息, 14, 45-46.

  • 10.孙涵,居为民,1998,气象卫星遥感在农业上应用效益回顾,地方遥感协会年会文集,宇航出版社。

  • 9. 高苹,居为民,1998小麦赤霉病长期预报模型,气象,23(6), 55-57.

  • 8. 孙涵,居为民,汤志成,1997,应用气象卫星遥感资料监测江苏洪涝灾害,地方遥感协会年会文集,宇航出版社。

  • 7. 孙涵,居为民,汤志成,1997,江苏省气象卫星遥感业务系统,地方遥感协会年会文集,宇航出版社。

  • 6. 孙涵,居为民,汤志成,1997,气象卫星遥感业务系统(V3.2)简介,气象,23(12), 18-20.

  • 5. 居为民,孙涵,张中义,徐萌,1997,气象卫星遥感资料在沪宁高速公路大雾检测上的初步应用,遥感信息,13,25-27.

  • 4. 居为民,孙涵,汤志成,1997,应用气象卫星遥感估计洪涝面积,气象科学,17(2), 131-136.

  • 3. 居为民,孙涵,汤志成,1996,应用气象卫星遥感监测干旱,灾害学,11(4),25-29.

  • 2. 孙涵,居为民,汤志成,1995,在微机上实现气象卫星遥感与地理信息系统一体化,南京气象学报增刊。

  • 1. 孙涵,居为民,汤志成,1995,气象卫星遥感的争取边界拓扑管理。应用气象学报,6(1),114-117.


 

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