[1] Marceau D J, Howarth P J, Gratton D J. Remote sensing and the measurement of geographical entities in a forested environment.1. The scale and spatial aggregation problem[J]. Remote Sensing of Environment, 1994, 49(2):93-104.

[2] Verstraete M M, Pinty B, Myneni R B. Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing[J]. Remote Sensing of Environment, 1996, 58(2):201-214.

[3] Myneni R B, Maggion S, Laquinta J. Optical remote sensing of vegetation: Modeling, caveats, and algorithms[J]. Remote Sensing of Environment, 1995, 51:169-188.

[4] Combal B, Baret F, Weiss M, et al. Retrieval of canopy biophysical variables from bidirectional reflectance: Using prior information to solve the ill-posed inverse problem[J]. Remote Sensing of Environment,2003,84(1):1-15.

[5] Li X, Gao F, Wang J, et al. A priori knowledge accumulation and its application to linear BRDF model inversion[J]. Journal of Geophysical Research, 2001,106(D11):11 925-11 935.

[6] Li Xiaowen, Wang Jingdi, Hu Baoxin, et al. On utilization of a priori knowledge in inversion of remote sensing models[J]. Science in China (Series D),1998, 28(1):580-586.[李小文, 王锦地, 胡宝新, 等. 论先验知识在遥感反演中的作用[J]. 中国科学:D辑, 1998, 28(1):580-586.]

[7] Li X W, Wang J D, Strahler A H. Scale effects and scaling-up by Geometric-Optical Model[J]. Science in China (Series E), 2000, 43(suppl.):17-22.

[8] Zhang X, Zhang B, Zheng L F, et al. Study on the retrieval of emissivity spectra from airborne thermal infrared data[J]. Journal of Infrared and Millimeter Waves, 2000,19(5):361-365.

[9] Su L H, Li X W, Friedl M, et al. A kernel-driven model of effective directional emissivity for non-isothermal surfaces[J]. Progress in Natural Science, 2002,12(8):603-607.

[10] Su L H, Li X W, Liang S L, et al. Simulation of scaling effects of thermal emission from non-isothermal pixels with the typical three-dimensional structure[J]. International Journal of Remote Sensing, 2003, 24(19):3 743-3 753.

[11] Zhang H, JIao Z, Yang H, et al. Research on Scale effect of histogram[J]. Science in China(Series D),2002, 45(10):949-960.

[12] Yan C Y, LIu Q, Niu Z, et al. Polynomial analysis of canopy spectra and biochemical component content inversion[J]. Science in China (Series D), 2005,48(10):1 780-1 791.

[13] Niu Z, Liu Q, Gao Y, et al. The gap probability model for canopy thermal infrared emission with non-scattering approximation[J]. Science in China (Series E), 2000,43(suppl.):83-94.

[14] Xu X, Chen L F, Zhuang J. Genetic inverse algorithm for retrieval of component temperature of mixed pixel by multi-angle thermal infrared remote sensing data[J]. Science in China (Series D),2001,44(4):363-372.

[15] Xu X R, Fan W J, Chen L F. Matrix expression of thermal radiative characteristics for an open complex[J]. Science in China (Series D), 2002, 45(7):654-661.

[16] Yan G J, Jiang L M, Wang J D, et al. Thermal bi-directional gap probability model for row crop canopies and validation[J]. Science in China (Series D),2003,46(12):1 241-1 249.

[17] Fan W J, Xu X R. The correlation of multi-angle thermal infrared data and the choice of optimal view angles[J]. Science in China (Series D),2004,47(6):570-576.

[18] Fan W J, Xu X R. Integrative inversion of land surface component temperature[J]. Science in China(Series D), 2005,48(11):2 011-2 019.

[19] Chen L F, Li X, Tian G, et al. A bi-directional gap model for simulating the directional thermal radiance of row crops[J]. Science in China (Series D),2002,45(12):1 087-1 098.

[20] Yu T, Gu X F, Tian G, et al. Modeling Directional Brightness Temperature Over a Maize Canopy in Row Structure[J]. Ieee Transactions on Geoscience and Remote Sensing,2004,42(10):2 290-2 304.

[21] Liu Q H, Gu X F, Li X W. Study on Thermal Infrared Emission Directionality over crop canopies with TIR camera imagery[J]. Science in China (Series E),2000, 43(suppl.):95-103.

[22] Chen L F, Zhuang J L, Liu Q H, et al. Study on the law of radiant directionality of row crops[J]. Science in China(Series E),2000,43:70-82.

[23] Li X W, Gao F W, Jin Di, et al. Bi-directional normalized difference vegetation index: Concept and application[J]. Progress in Natural Science,2002,12(2):115-119.

[24] Li X W, Gao F, Wang J D, et al. Estimation of the Parameter Error Propagation in Inversion Based BRDF Observations at Single Sun Position[J]. Science in China (Series E), 2000, 43(suppl.):9-16.

[25] Li X W, Gao F, Wang J D, et al. A priori knowledge accumulation and its application to linear BRDF model inversion[J]. Journal of Geophysical Research,2001,106(11):11 925-11 935.

[26] Yang H, Xu W L, Zhao H R, et al. Information flow and controlling in regularization inversion of quantitative remote sensing[J]. Science in China(Series D),2005,48(1):74-83.

[27] Wang J D, Li X W, Sun X M, et al. Component Temperatures Inversion for Remote Sensing Pixel Based on Directional Thermal Radiation Model[J]. Science in China (Series E),2000,43(suppl.):41-47.

[28] Chen L, Li Z L, Liu Q H, et al. Definition of component effective emissivity for heterogeneous and non-isothermal surfaces and its approximate calculation[J]. International Journal of Remote Sensing,2004, 25(1):231-244.

[29] Xiao Q, Liu Q H, Li X W, et al. A field measurement method of spectral emissivity and research on the feature of soil thermal infrared emissivity[J]. Journal of Infrared and Millimeter Waves,2003,22(5):373-378.

[30] Zhang R H, Sun X M, Li Z L, et al. Revealing of major factors in the directional thermal radiation of ground objects-new way for improving the precision of directional radiant temperature measuring and data analysis[J]. Science in China (Series E),2000,43(suppl.):34-40.

[31] Zhang L Q, Zhang Y, Yang C J, et al. Effective solutions to a global 3D visual system in networking ecvironments[J]. Science in China (Series D),2005,48(10):2 032-2 039.

[32] Zhou Q, Wang J H. Comparison of upper leaf and lower leaf of rice plants in response to supplemental nitrogen levels[J]. Journal of Plant Nutrition,2003,26(3):607-617.

[33] Zhou Q, Wang J H. Leaf and spike reflectance spectra of rice plants with contrasting nitrogen supplemental levels[J]. International Journal of Remote Sensing,2003,24(7):1 587-1 593.

[34] Wang J H, Wang Z, Zhao C, et al. Vertical distribution of nitrogen in different layers of leaf and stem and their relationship with grain quality of winter wheat[J]. Journal of Plant Nutrition,2005,28(1):73-91.

[35] Wang Z J, Wang J H, Liu l, et al. Estimation of Nitrogen deficiency at Middle and Bottom Layers of Winter Wheat  Canopy by using ground measured canopy reflectance[J]. Communications in soil Science and Plant Analysis, 2005,36(9):2 289-2 302.

[36] zhao C, Zhou Q, Wang J, et al. Spectral indices redefined in detecting nitrogen availability for wheat canopy[J]. Communications in Soil Science and Plant Analysis,2004,35(5):853-863.

[37] Huang W J, Wang J H, Wang Z, et al. Inversion of foliar biochemical parameters at various physiological stages and grain quality indicators of winter wheat with canopy reflectance[J]. International Journal of Remote Sensing,2004,25(12):2 409-2 419.

[38] Liu Z H, Zhao Y S. Research on the method for retrieving soil moisture using thermal inertia model[J]. Sciences in China (Series D),2006,49(5):539-545.

[39] Feng X M, Zhao Y S. On multiresolution approach to inversion of remote sensing model with MISR[J]. Sciences in China (Series D),2006, 49:in press.

[40] Shi J C, Jiang L M, Zhang L. A Parameterized multifrequency-polarization surface emission model[J]. Ieee Transactions on Geoscience and Remote Sensing, 2005, 43(12):2 831- 2 841.

[41] Shi J C, Jiang L M, Zhang L, et al. Estimating bare soil moisture using multi-frequency-polarization data[J]. Ieee Transactions on Geoscience and Remote Sensing, 2006, in press.

[42] Liu S M. Evaluation of Three Complementary Relationship approaches for evapotranspiration over the Yellow river basin[J]. Hydrological Processes, 2005, 19(13):2 625- 2 639.

[43] Qin J, Yan G J, Liu S M, et al. Application of ensemble kalman filter to geophysical parameters retrieval in remote sensing: A case study of kernel-drive BRDF model inversion[J]. Science in China (Series D), 2006, 49:in press.