[1] Liang S-L (梁顺林), Zhang J (张 杰), Chen L-J (陈利军), et al. Production and Application of Global Change Remote Sensing Products. Beijing: Science Press, 2017 (in Chinese) [2] Wang P-J (王培娟), Zhu Q-J (朱启疆), Wu M-X (吴门新), et al. Research on the relationships among FAPAR, LAI and VIs in the winter wheat canopy. Remote Sensing Information (遥感信息), 2003(3): 19-22 (in Chinese) [3] Tian Y, Dickinson RE, Zhou L, et al. Comparison of seasonal and spatial variations of leaf area index and fraction of absorbed photosynthetically active radiation from Moderate Resolution Imaging Spectroradiometer (MODIS) and Common Land Model. Journal of Geophysical Research Atmospheres, 2004, 109: 19-34 [4] Yang F (杨 飞), Zhang B (张 柏), Song K-S (宋开山), et al. Hyperspectral estimation of corn fraction of photosynthetically active radiation. Scientia Agricultura Sinica (中国农业科学), 2008, 41(7): 1947-1954 (in Chinese) [5] Liu G-P (刘桂鹏), He T (贺 婷), Wang G-J (王国骄), et al. Hyperspectral estimation of maize LAI and FAPAR. Journal of Maize Science (玉米科学), 2016, 24(2): 115-119 (in Chinese) [6] Baret F, Guyot G. Potentials and limits of vegetation LAI and APAR assessment. Remote Sensing Environment, 1991, 35: 161-173 [7] Xie J-F (谢军飞), Guo J (郭 佳). Spatial-temporal variation of fraction of absorbed photosynthetically active radiation (FPAR) in Beijing during 2010-2012. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(4): 1203-1210 (in Chinese) [8] Jin X-L (金秀良), Li S-K (李少昆), Wang K-R (王克如), et al. Estimating cotton FPAR based on the different vegetation indexes. Cotton Science (棉花学报), 2011, 23(5): 447-453 (in Chinese) [9] Zhang C (张 超), Cai H-L (蔡焕杰), Li Z-J (李志军). Estimation of fraction of absorbed photosynthetically active radiation for winter wheat based on hyperspectral characteristic parameter. Spectroscopy and Spectral Analy-sis (光谱学与光谱分析), 2015, 35(9): 2644-2649 (in Chinese) [10] Liu A-J (刘爱军), Wang B-L (王宝林), Huang P-P (黄平平), et al. Research on fPAR estimation of grass-land with hyperspectral data based on reflectivity and derivative. Acta Agrestla Sinica (草地学报), 2012, 20(6): 1004-1010 (in Chinese) [11] Yang F (杨 飞), Zhang B (张 柏), Song K-S (宋开山), et al. Relationship between fraction of photosynthetically active radiation and vegetation indices, leaf area index of corn and soybean. Acta Agronmica Sinica (作物学报), 2008, 34(11): 2046-2052 (in Chinese) [12] He J (贺 佳), Liu B-F (刘冰峰), Li J (李 军). FPAR monitoring model of winter wheat based on hyperspectral reflectance at different growth stages. Transactions of the Chinese Society for Agricultural Machinery (农业机械学报), 2015, 46(2): 261-269 (in Chinese) [13] Zhao P-J (赵鹏举), Wang D-W (王登伟), Huang C-Y (黄春燕), et al. Estimation of cotton fraction of photosynthetically active radiation and leaf area index based on hyperspectral remote sensing data. Cotton Science (棉花学报), 2009, 21(5): 388-393 (in Chinese) [14] Xin M-Y (辛明月), Yin H (殷 红), Zhang T (张涛), et al. Estimation of rice absorbed photosynthetically active radiation by hyperspectral remote sensing. Chinese Journal of Rice Science (中国水稻科学), 2011, 25(4): 443-446 (in Chinese) [15] Huang C-Y (黄春燕), Wang D-W (王登伟), Liu M (刘 敏). Characteristics analysis of photosynthetically active radiation of cotton canopy under different water treatments. Xinjiang Agricultural Sciences (新疆农业科学), 2013, 50(10): 1787-1792 (in Chinese) [16] Clevers JGPW, Kooistra L, Schaepman ME. Estimating canopy water content using hyperspectral remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 2010, 12: 119-125 [17] Sun T (孙 婷), Zhang L-C (张立朝), Tang H-S (唐汉松). A discussion on the hyperspectral image data preprocessing. Geomatic Science and Engineering (测绘科学与工程), 2007, 27(1): 59-62 (in Chinese) [18] Liu W-D (刘伟东), Xiang Y-Q (项月琴), Zheng L-F (郑兰芬), et al. Relationships between rice LAI, CH.D and hyperspectral data. Journal of Remote Sensing (遥感学报), 2000, 4(4): 279-283 (in Chinese) [19] Huang C-Y (黄春燕), Guo X-F (郭晓飞), Tian C-Y (田春燕), et al. Correlation analysis of red edge parameters, photosynthetically active radiation parameters, and canopy harvest index of cotton under different water treatments. Journal of Shihezi University (Natural Science) (石河子大学学报:自然科学版), 2016, 34(6): 697-702 (in Chinese) [20] Wang D (王 娣), Dian Y-Y (佃袁勇), Le Y (乐 源), et al. Net photosynthetic rate inversion based on hyperspectral vegetation indices. Geography and Geo-Information Science (地理与地理信息科学), 2016, 32(4): 42-49 (in Chinese) [21] Guo N (郭 妮). Vegetation index and its advances. Arid Meteorology (干旱气象), 2003, 21(4): 71-75 (in Chinese) [22] Li H-J (李红军), Zheng L (郑 力), Lei Y-P (雷玉平), et al. Comparison of NDVI and EVI based on EOS/MODIS data. Progress in Geography (地理科学进展), 2007, 26(2): 26-32 (in Chinese) [23] Rouse JW, Haas Jr RH, Schell JA, et al. Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. Progress Report RSC 1978-1. Texas: Remote Sensing Center, Texas A&M University, College Station, 1973 [24] Richardson AJ, Wiegand CL. Distinguish in vegetation from soil background information. Photogram Metric Engineering and Remote Sensing, 1977, 43: 1541-1552 [25] Tucker CJ. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 1979, 8: 127-150 [26] Huete A, Justice C, Liu H. Development of vegetation and soil indices for MODIS-EOS. Remote Sensing of Environment, 1994, 49: 224-234 [27] Roujean JL, Breon FM. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Remote Sensing of Environment, 1995, 51: 375-384 [28] Huete AR. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 1988, 25: 295-309 [29] Qi J, Huete AR, Moran MS, et al. Interpretation of vege-tation indices derived from multi-temporal SPOT images. Remote Sensing of Environment, 1993, 44: 89-101 [30] Gao BC. NDWI-A normalized difference water index for remote sensing of vegetation liquid crop water from space. Remote Sensing of Environment, 1996, 58: 257-266 [31] Wang X-Z (王秀珍), Li J-L (李建龙), Tang Y-L (唐延林). Approach the action of derivative spectra for determining agronomic parameters of cotton. Journal of South China Agricultural University (Natural Science)(华南农业大学学报:自然科学版), 2004, 25(2): 17-22 (in Chinese) [32] Shao T-T (邵田田), Song K-S (宋开山), Du J (杜 嘉), et al. Hyperspectral remote sensing modeling of FPAR for corn based on partial least squares regression analysis. Geography and Geo-Information Science (地理与地球科学信息), 2012, 28(3): 27-31 (in Chinese) [33] Dong T-F (董泰锋), Meng J-H (蒙继华), Wu B-F (吴炳方). Overview on methods of deriving fraction of absorbed photosynthetically active radiation (FPAR) using remote sensing. Acta Ecologica Sinica (生态学报), 2012, 32(22): 7190-7201 (in Chinese) [34] Tian Q-J (田庆久), Min X-J (闵祥军). Advances in study on vegetation indices. Advance in Earth Science (地球科学进展), 1998, 13(4): 327-333 (in Chinese) [35] Wang X-P (王小平), Zhao C-Y (赵传燕), Guo N (郭 妮), et al. Canopy hyperspectral reflectance response for spring wheat in different water stresses in semi-arid areas of the Loess Plateau. Journal of Lanzhou University (Natural Sciences) (兰州大学学报:自然科学版), 2014, 50(3): 417-424 (in Chinese) [36] Li H-L (李贺丽), Luo Y (罗 毅), Xue X-P (薛晓萍), et al. Assessment of approaches for estimating fraction of photosynthetically active radiation absorbed by winter wheat canopy. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2011, 27(4): 201-206 (in Chinese) |