[1] [1] CHENChen， JIAChang， WANGJingyuan， et al. Effects of extreme precipitation events at different growth stages on net productivity of artificial coniferous forest—A case study of Qianyanzhou ecological experimental station in Ji’an City of Jiangxi Province［J］. Bulletin of Soil and Water Conservation， 2020， 40（2）： 317-324.

[2] [2] FANGH L， LIS J， ZHANGY H， et al. New insights of global vegetation structural properties through an analysis of canopy clumping index， fractional vegetation cover， and leaf area index［J］. Science of Remote Sensing， 2021， 4： 100027. DOI： 10.1016/j.srs.2021.100027

[3] [3] LIX， STRAHLERA H. Modeling the gap probability of a discontinuous vegetation canopy［J］. IEEE Transactions on Geoscience and Remote Sensing， 1988， 26（2）： 161-170. DOI： 10.1109/36.3017

[4] [4] FANGH L， ZHANGY H， WEIS S， et al. Validation of global moderate resolution Leaf Area Index （LAI） products over croplands in Northeastern China［J］. Remote Sensing of Environment，2019，233：111377. DOI：10.1016/j.rse. 2019. 111377

[5] [5] CHENJ M， MENGESC H， LEBLANCS G. Global mapping of foliage clumping index using multi-angular satellite data［J］. Remote Sensing of Environment， 2005， 97（4）： 447-457. DOI： 10.1016/j.rse.2005.05.003

[6] [6] FANGHongliang. Retrieval of forest vertical leaf area index and clumping index through field measurement and remote sensing techniques： A review［J］. Chinese Science Bulletin， 2021， 66（24）： 3141-3153.

[7] [7] FANGH L， BARETF， PLUMMERS， et al. An overview of global Leaf Area Index （LAI）： Methods， products， validation， and applications［J］. Reviews of Geophysics， 2019， 57（3）： 739-799. DOI： 10.1029/2018RG000608

[8] [8] CHENGWuxue，PANKaizhi，YANGCunjian.Research progress in the determination methods of Leaf Area Index（LAI）［J］.Journal of Sichuan Forestry Science and Technology，2010，31（3）：51-54.

[9] [9] HONGChuqiao，QUYonghua.Comparison of Smartphone APP and digital hemispherical photography for Estimating Leaf Area Index［J］.Journal of Beijing Normal University（Natural Science Edition），2023，59（1）：125-135.

[10] [10] YANG J， HUR H， LUOJ H， et al. Review of indirect optical measurements of Leaf Area Index： Recent advances， challenges， and perspectives［J］.Agricultural and Forest Meteorology，2019，265：390-411. DOI：10.1016/j.agrformet. 2018. 11.033

[11] [11] YANGuangjian， HURonghai， LUOJinghui， et al. Review of indirect methods for Leaf Area Index measurement［J］. Journal of Remote Sensing， 2016， 20（5）： 958-978.

[12] [12] NIUX T， FANJ， LUOR H， et al. Continuous estimation of leaf area index and the woody-to-total area ratio of two deciduous shrub canopies using fisheye webcams in a semiarid loessial region of China［J］. Ecological Indicators， 2021， 125： 107549. DOI： 10.1016/j.ecolind.2021.107549

[13] [13] OLIVASP C， OBERBAUERS F， CLARKD B， et al. Comparison of direct and indirect methods for assessing Leaf Area Index across a tropical rain forest landscape［J］. Agricultural and Forest Meteorology，2013，177：110-116. DOI：10. 1016/j.agrformet.2013.04.010

[14] [14] YAODandan， LEIXiangdong， YULi， et al. Spatial heterogeneity of Leaf Area Index of mixed spruce-fir-deciduous stands in Northeast China［J］.Acta Ecologica Sinica，2015，35（1）：71-79.

[15] [15] FANGH L， YEY C， LIUW W， et al. Continuous estimation of canopy Leaf Area Index （LAI） and clumping index over broadleaf crop fields： An investigation of the PASTIS-57 instrument and smartphone applications［J］. Agricultural and Forest Meteorology， 2018， 253： 48-61. DOI： 10.1016/j.agrformet.2018.02.003

[16] [16] FANGHongliang. Development and validation of satellite Leaf Area Index（LAI） products in China［J］. Remote Sensing Technology and Application， 2020， 35（5）： 990-1003.

[17] [17] LIS J， FANGH L， ZHANGY H， et al. Comprehensive evaluation of global CI， FVC， and LAI products and their relationships using high-resolution reference data［J］. Science of Remote Sensing，2022，6：100066. DOI：10.1016/j.srs. 2022. 100066

[18] [18] SUNChenxi，LIULiangyun，GUANLinlin. Validation of the GLASS LAI products in Xilinhot grassland［J］.Remote Sensing Technology and Application，2013，28（6）：949-954.

[19] [19] CHENY P， JIAOS F， CHENGY L， et al. LAI-NOS： An automatic network observation system for Leaf Area Index based on hemispherical photography［J］. Agricultural and Forest Meteorology，2022，322：108999. DOI：10.1016/j.agr-formet.2022.108999

[20] [20] QUY H， HANW C， FUL Z， et al. LAINet–A wireless sensor network for coniferous forest Leaf Area Index measurement： Design， algorithm and validation［J］. Computers and Electronics in Agriculture，2014，108：200-208. DOI：10.1016/j.compag.2014.08.003

[21] [21] BREDEB， GASTELLU-ETCHEGORRYJ P， LAURETN， et al. Monitoring forest phenology and Leaf Area Index with the autonomous， low-cost transmittance sensor PASTiS-57［J］.Remote Sensing，2018，10（7）：1032. DOI：10. 3390/rs10071032

[22] [22] FENGYaowei，QUYonghua. Extracting canopy four geometric-optical components by incorporating illumination information into a multi-scale K-means cluster method［J］.Journal of Geo-Information Science，2023，25（5）：1037-1049.

[23] [23] LIUQijing， HULile， LIXuanran. Plant diversity in Qianyanzhou after 20 years of small watershed treatment［J］. Acta Phytoecologica Sinica， 2005， 29（5）： 766-774.

[24] [24] WEISSM， BARETF. Can_Eye V6.4.91 User Manual［EB/OL］. https：//www6.paca.inra.fr/can-eye/ News/CAN-EYE-V6.49-Release.2017. https：//www6.paca.inra.fr/can-eye/ News/CAN-EYE-V6.49-Release.2017

[25] [25] DEMAREZV， DUTHOITS， BARETF， et al. Estimation of leaf area and clumping indexes of crops with hemispherical photographs［J］. Agricultural and Forest Meteorology， 2008， 148（4）： 644-655. DOI： 10.1016/j.agrformet.2007.11.015

[26] [26] LANGA. Leaf-area and average leaf angle from transmission of direct sunlight［J］. Australian Journal of Botany， 1986， 34（3）： 349. DOI： 10.1071/bt9860349

[27] [27] LANGA R G， MCMURTRIER E. Total leaf areas of single trees of Eucalyptus grandis estimated from transmittances of the Sun’s beam［J］.Agricultural and Forest Meteorology，1992，58（1/2）： 79-92. DOI： 10.1016/0168-1923（92）90112-H

[28] [28] CHENJ H， WANGS Q， CHENB， et al. Comparative analysis on the estimation of diurnal solar-induced chlorophyll fluorescence dynamics for a subtropical evergreen coniferous forest［J］. Remote Sensing， 2021， 13（16）： 3143. DOI： 10.3390/rs13163143