[1] Nautiyal P C, Rachaputi N R, Joshi Y C. Moisture-deficit-induced changes in leaf-water content, leaf carbon exchange rate and biomass production in groundnut cultivars differing in specific leaf area[J]. Field Crops Research, 2002, 74(1): 67-79.
[2] Colombo R, Meroni M, Marchesi A, et al. Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral indices and inverse modeling[J]. Remote Sensing of Environment, 2008, 112(4): 1820-1834.
[3] 毛罕平,高洪燕,张晓东.生菜叶片含水率光谱特征模型研究[J]. 农业机械学报, 2011,42(5):166-170.
[4] Hunt G R. Electromagnetic radiation: the communication link in remote sensing[M]//Siegal B S, Gillespie A R. Remote Sensing in Geology, New yourk:willey, 1980: 702.
[5] 梁亮,张连蓬,林卉. 基于导数光谱的小麦冠层叶片含水量反演[J]. 中国农业科学, 2013,46(1):18-29.
[6] Kim Y, Glenn D M, Park J, et al. Hyperspectral image analysis for water stress detection of apple trees[J]. Computers and Electronics in Agriculture, 2011, 77(2): 155-160.
[7] Ceccato P, Flasse S, Tarantola S, et al. Detecting vegetation leaf water content using reflectance in the optical domain[J]. Remote Sensing of Environment, 2001, 77(1): 22-33.
[8] Chuvieco E, Riano D, Aguado I, et al. Estimation of fuel moisture content from multitemporal analysis of landsat thematic mapper reflectance data: applications in fire danger assessment[J]. International Journal of Remote Sensing, 2002, 23(11): 2145-2162.
[9] Danson F M, Bowyer P. Estimating live fuel moisture content from remotely sensed reflectance[J]. Remote Sensing Environment, 2004, 92: 309-321.
[10] Ceccato P, Flasse S, Gregoire J. Designing a spectral index to estimate vegetation water content from remote sensing data: part 2. validation and applications[J]. Remote Sensing of Environment, 2002, 82(2): 198-207.
[11] 赵祥,王锦地,刘素红. 耦合辐射传输模型的植被含水量遥感改进监测[J]. 红外与毫米波学报,2010, 29(3): 185-189.
[12] 刘小军, 田永超, 姚霞,等. 基于高光谱的水稻叶片含水量监测研究[J]. 中国农业科学,2012, 45(3): 435-442.
[13] 方美红,居为民基于叶片光学属性的作物叶片水分含量反演模型研究[J]. 光谱学与光谱分析,2015, 30(1): 167-171.
[14] Hunt E R, Rock B N. Detection of changes in leaf water content using near-and middle-infrared reflectances[J]. Remote sensing of environment, 1989, 30(1): 43-54.
[15] Gao B. NDWI-a normalized difference water index for remote sensing of vegetation liquid water from space[J]. Remote sensing of environment, 1996, 58(3): 257-266.
[16] Peñuelas J, Pinol J, Ogaya R, et al. Estimation of plant water concentration by the reflectance water index WI (R900/R970)[J]. International Journal of Remote Sensing, 1997, 18(13): 2869-2875.
[17] Ceccato P, Gobron N, Flasse S, et al. Designing a spectral index to estimate vegetation water content from remote sensing data: part 1: theoretical approach[J]. Remote Sensing of Environment, 2002, 82(2): 188-197.
[18] Jackson T J, Chen D, Cosh M, et al. Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans[J]. Remote Sensing of Environment, 2004, 92(4): 475-482.
[19] Chen D, Huang J, Jackson T J. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near-and short-wave infrared bands[J]. Remote Sensing of Environment, 2005, 98(2): 225-236.
[20] 吴见,陈泰生,潘立新. 不同含水量条件下树种叶片光谱差异分析[J]. 光谱学与光谱分析,2015, 30(7):1961-1966.
[21] Viegas D X, Viegas T P, Ferreira A D. Moisture content of fine forest fuels and fire occurrence in central Portugal [J]. The International Journal of Wildland Fire, 1992, 2: 69-85.
[22] Inoue Y, Morinaga S, Shibayama M. Nondestructive estimation of water status of intact crop leaves based on spectral reflectance measurements[J]. Japan Journal of Crop Science, 1993, 62 (3): 462-469.
[23] Danson F M, Steven M D, Malthus T J, et al. High spectral resolution data for determining leaf water content [J]. International Journal of Remote Sensing, 1992, 13 (3): 461-470.
[24] 王洁,徐瑞松,马跃良,等. 植被含水量的遥感反演方法及研究进展[J]. 遥感信息,2008(1):100-105.
[25] Peñuelas J, Filella I, Biel C, et al. The Reflectance at the 950-970 nm region as an indicator of plant water status[J]. International Journal of Remote Sensing, 1993, 14(10): 1887-1905.
[26] Jacquemoud S, Baret F. PROSPECT: A model of leaf optical properties spectra[J]. Remote Sensing of Environment, 1990, 34(2): 75-91.
[27] Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model[J]. Remote sensing of environment, 1984, 16(2): 125-141.
[28] Carter G A. Primary and secondary effects of water content on the spectral reflectance of leaves[J]. American Journal of Botany, 1991: 916-924.
[29] 杜晓. 植被叶面水遥感监测及其时空特征分析. 北京:中国科学院遥感应用研究所,2006.
[30] 陈小平,王树东,张立福,等. 植被叶片含水量反演的精度及敏感性[J]. 遥感信息,2016, 31 (1):48-57.
[31] 程晓娟,杨贵军,徐新刚,等. 新植被水分指数的冬小麦冠层水分遥感估算[J]. 光谱学与光谱分析,2014, 34(12):3391-3396.