[1] |
Chen JM, Black TA. Defining leaf area index for non-flat leaves. Plant, Cell and Environment, 2010, 15: 421-429
|
[2] |
Xu X-R (徐希孺), Fan W-J (范闻捷), Tao X (陶欣). The spatial scaling effect of continuous canopy leaves area index retrieved by remote sensing. Science in China Series D: Earth Sciences (中国科学D辑: 地球科学), 2009, 52(3): 393-401 (in Chinese)
|
[3] |
Liu Y (刘 洋), Liu R-G (刘荣高), Chen J-M (陈镜明), et al. Current status and perspectives of leaf area index retrieval from optical remote sensing data. Journal of Geo-information Science (地球信息科学学报), 2013, 15(5): 734-743 (in Chinese)
|
[4] |
Liu Z, Chen JM, Jin G, et al. Estimating seasonal varia-tions of leaf area index using litterfall collection and optical methods in four mixed evergreen-deciduous forests. Agricultural and Forest Meteorology, 2015, 209-210: 36-48
|
[5] |
Ma H, Song J, Wang J, et al. Improvement of spatially continuous forest LAI retrieval by integration of discrete airborne LiDAR and remote sensing multi-angle optical data. Agricultural and Forest Meteorology, 2014, 189-190: 60-70
|
[6] |
Sehgal VK, Chakraborty D, Sahoo RN. Inversion of radiative transfer model for retrieval of wheat biophysical parameters from broadband reflectance measurements. Information Processing in Agriculture, 2016, 3: 107-118
|
[7] |
Liu Y (刘 洋), Liu R-G (刘荣高). Retrieval of global long-term leaf area index from LTDR AVHRR and MODIS observations. Journal of Geo-information Science (地球信息科学学报), 2015, 17(11): 1304-1312 (in Chinese)
|
[8] |
Zhu G-L (朱高龙), Ju W-M (居为民), Chen JM, et al. Forest canopy leaf area index in Maoershan Mountain: Ground measurement and remote sensing retrieval. Chinese Journal of Applied Ecology (应用生态学报), 2010, 21(8): 2117-2124 (in Chinese)
|
[9] |
Fang H, Wei S, Liang S. Validation of MODIS and CYCLOPES LAI products using global field measurement data. Remote Sensing of Environment, 2012, 119: 43-54
|
[10] |
Li XJ, Xiao ZQ, Wang JD, et al. Dual Ensemble Kalman Filter assimilation method for estimating time series LAI. Journal of Remote Sensing, 2014, 18: 27-44
|
[11] |
Fang S, Le Y, Liang Q, et al. Leaf area index estimation using time-series MODIS data in different types of vegetation. Journal of the Indian Society of Remote Sensing, 2014, 42: 733-743
|
[12] |
Meyers TP, Hollinger SE. An assessment of storage terms in the surface energy balance of maize and soybean. Agricultural and Forest Meteorology, 2004, 125: 105-115
|
[13] |
Xu X, Du H, Zhou G, et al. Method for improvement of MODIS leaf area index products based on pixel-to-pixel correlations. European Journal of Remote Sensing, 2016, 49: 57-72
|
[14] |
Zhu X-C (朱绪超), Yuan G-F (袁国富), Yi X-B (易小波), et al. Leaf area index inversion of riparian forest in the lower basin of Tarim River based on Landsat 8 OLI images. Arid Land Geography (干旱区地理), 2014, 37(6): 1248-1256 (in Chinese)
|
[15] |
Houborg R, Soegaard H, Boegh E. Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data. Remote Sensing of Environment, 2007, 106: 39-58
|
[16] |
Du H-Q (杜华强), Zhou G-M (周国模), Xu X-J (徐小军). Satellite-based Biomass/Carbon Stock Estimation for Bamboo Forest. Beijing: Science Press, 2012 (in Chinese)
|
[17] |
Chen L-P (陈丽萍), Li P-H (李平衡), Mo L-F (莫路锋), et al. Carbon flux extraction for a Phyllostachys violascens ecosystem based on the flux footprint analysis. Journal of Zhejiang A&F University (浙江农林大学学报), 2016, 33(1): 1-10 (in Chinese)
|
[18] |
Li X-J (李雪建), Mao F-J (毛方杰), Du H-Q (杜华强), et al. Simulating of carbon fluxes in bamboo forest ecosystem using BEPS model based on the LAI assimilated with Dual Ensemble Kalman Filter. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(12): 3797-3806 (in Chinese)
|
[19] |
Zhang Q, Xiao X, Braswell B, et al. Characterization of seasonal variation of forest canopy in a temperate deci-duous broadleaf forest, using daily MODIS data. Remote Sensing of Environment, 2006, 105: 189-203
|
[20] |
Li X, Mao F, Du H, et al. Assimilating leaf area index of three typical types of subtropical forest in China from MODIS time series data based on the integrated ensemble Kalman filter and PROSAIL model. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 126: 68-78
|
[21] |
Mao F, Li X, Du H, et al. Comparison of two data assimilation methods for improving MODIS LAI time series for bamboo forests. Remote Sensing, 2017, 9: 401-416
|
[22] |
Gu C-Y (谷成燕), Du H-Q (杜华强), Zhou G-M (周国模), et al. Retrieval of leaf area index of Moso bamboo forest with Landsat Thematic Mapper image based on PROSAIL canopy radiative transfer model. Chinese Journal of Applied Ecology (应用生态学报), 2013, 24(8): 2248-2256 (in Chinese)
|
[23] |
Huete A, Didan K, Miura T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 2002, 83: 195-213
|
[24] |
Gitelson AA, Viña A, Ciganda V, et al. Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters, 2005, 32: 93-114
|
[25] |
Chen JM, Cihlar J. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sensing of Environment, 1996, 55: 153-162
|
[26] |
Bausch WC. Soil background effects on reflectance-based crop coefficients for corn. Remote Sensing of Environment, 1993, 46: 213-222
|
[27] |
Huete AR, Liu HQ. An error and sensitivity analysis of the atmospheric- and soil-correcting variants of the NDVI for the MODIS-EOS. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32: 897-905
|
[28] |
You S-B (游士兵), Yan Y (严 研). Stepwise regression analysis and its application. Statistics and Decision (统计与决策), 2017, 14(7): 31-35 (in Chinese)
|
[29] |
Fang H, Liang S. A hybrid inversion method for mapping leaf area index from MODIS data: Experiments and application to broadleaf and needle leaf canopies. Remote Sensing of Environment, 2005, 94: 405-424
|
[30] |
Knyazikhin Y. Inversion methods for physically-based models. Remote Sensing Reviews, 2000, 18: 381-439
|
[31] |
Smith JA. LAI inversion using a back-propagation neural network trained with a multiple scattering model. IEEE Transactions on Geoscience and Remote Sensing, 1993, 31: 1102-1106
|
[32] |
Gong P. Inverting a canopy reflectance model using a neural network. International Journal of Remote Sensing, 1999, 20: 111-122
|
[33] |
Xia K-W (夏克文), Li C-B (李昌彪), Shen J-Y (沈钧毅). An optimization algorithm on the number of hidden layer nodes in Feed-forward Neural Network. Computer Science (计算机科学), 2005, 32(10): 143-145 (in Chinese)
|
[34] |
Fu H-X (傅荟璇), Zhao H (赵 红). MATLAB Neural Network Application and Design. Beijing: Mec-hanical Industry Press, 2010 (in Chinese)
|
[35] |
Azimi-Sadjadi MR, Ghaloum S, Zoughi R. Terrain classification in SAR images using principal components analysis and neural networks. IEEE Transactions on Geoscience and Remote Sensing, 1993, 31: 511-515
|
[36] |
Gao L (高 林), Li C-C (李长春), Wang B-S (王宝山), et al. Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(1): 193-200 (in Chinese)
|
[37] |
Fang H, Li W, Myneni RB. The impact of potential land cover misclassification on MODIS leaf area index (LAI) estimation: A statistical perspective. Remote Sensing, 2013, 5: 830-844
|
[38] |
Kauwe MGD, Disney MI, Quaife T, et al. An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest. Remote Sensing of Environment, 2011, 115: 767-780
|
[39] |
Jensen J. Trans. Chen X-L (陈晓玲), et al. Introduc-tory Digital Image Processing: A Remote Sensing Perspective. 3rd Ed. Beijing: China Machine Press, 2007 (in Chinese)
|
[40] |
Shan X (闪 旭), Liu Z-H (刘志辉), Zhang B (张波). Study of spectrum reflectance characteristics of snow and snow-covered land surface objects in the melting-snow period. Journal of Anhui Agricultural Sciences (安徽农业科学), 2014, 42(3): 853-855 (in Chinese)
|
[41] |
Tang Y (唐 怡), Liu L-Y (刘良云), Huang W-J (黄文江), et al. Analysis on the influence of soil backgrounds on canopy NDVI. Remote Sensing Technology and Application (遥感技术与应用), 2006, 21(2): 142-148 (in Chinese)
|
[42] |
Qi Y-S (齐永胜), Yu F-M (俞发民), Wang H (王晖). Climate adaptability of Guixi Phyllostachys praecox cv. prevernalis growth. Anhui Agricultural Science Bulletin (安徽农学通报), 2010, 16(15): 197-198 (in Chinese)
|