Global Sensitivity Analysis of Parameters in the PROSAIL Model Based on Modified Sobol's Method

doi:10.13474/j.cnki.11-2246.2016.0080

Abstract

CLC Number:

P237

MA Jianwei, HUANG Shifeng, LI Jiren, LI Xiaotao, SONG Xiaoning, LENG Pei, SUN Yayong. Global Sensitivity Analysis of Parameters in the PROSAIL Model Based on Modified Sobol's Method[J]. 测绘通报, 2016, 0(3): 33-35,106.

References

[1] VERRELST J, RIVERA J P, MORENO J. ARTMO's Global Sensitivity Analysis (GSA)Toolbox to Quantify Driving Variables of Leaf and Canopy Radiative Transfer Models [J]. EARSeLe Proceedings,2015(2):1-11.
[2] 任启伟, 陈洋波, 周浩澜, 等. 基于 Sobol 法的 TOPMODEL 模型全局敏感性分析[J]. 人民长江, 2010, 41(19):91-94.
[3] SOBOL'I M. On Sensitivity Estimation for Nonlinear Mathematical Models [J]. Matematicheskoe Modelirovanie, 1990(2):112-118.
[4] SALTELLI A, ANNONI P, AZZINI I, et al. Variance-based Sensitivity Analysis of Model Output. Design and Estimator for the Total Sensitivity Index [J]. Computer Physics Communications, 2010(181):259-270.
[5] VERRELST J, RIVERA J P, VAN DER TOL C, et al. Global Sensitivity Analysis of the SCOPE Model:What Drives Simulated Canopy-leaving Sun-induced Fluorescence?[J]. Remote Sensing of Environment, 2015,166(1):8-21.
[6] JACQUEMOUD S, BARET F. PROSPECT:A Model of Leaf Optical Properties Spectra[J]. Remote Sensing of Environment, 1990, 34(2):75-91.
[7] 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.
[8] 王强, 过志峰, 孙国清, 等. 离散植被冠层的解析混合 BRDF 模型-MGeoSAIL[J]. 测绘学报, 2010, 39(2):195-201.
[9] FERET J B, FRANÇOIS C, ASNER G P, et al. PROSPECT-4 and 5:Advances in the Leaf Optical Properties Model Separating Photosynthetic Pigments [J]. Remote Sensing of Environment, 2008, 112(6):3030-3043.
[10] JACQUEMOUD S, VERHOEF W, BARET F, et al. PROSPECT+ SAIL Models:A Review of Use for Vegetation Characterization[J]. Remote Sensing of Environment, 2009, 113(1):S56-S66.
[11] WANG L, HUNT E R, QU J J, et al. Remote Sensing of Fuel Moisture Content from Ratios of Narrow-band Vegetation Water and Dry-matter Indices[J]. Remote Sensing of Environment, 2013, 129(15):103-110.
[12] 张莲蓬, 柳钦火, 王德高, 等. 高光谱遥感植被指数的普适性分析[J]. 测绘通报, 2010(9):1-4.
[13] 杨敏华, 刘良云, 刘团结, 等. 小麦冠层理化参量的高光谱遥感反演试验研究[J]. 测绘学报, 2002, 31(4):316-321.
[14] 郭云开, 张进会. 路域植被叶绿素多光谱遥感定量反演研究[J]. 测绘通报, 2014(12):5-8.

[1]	WANG Yanjun, LIN Yunhao, WANG Shuhan, LI Shaochun, WANG Mengjie. 3D road boundary extraction based on mobile laser scanning point clouds and OSM data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 18-25.
[2]	LIU Lin, SUN Yi, LI Wanwu. Detection model construction based on CNN for offshore drilling platform and training algorithm analysis [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 26-32,99.
[3]	KONG Ruiyao, XIE Tao, MA Ming, KONG Ruilin. Application of CatBoost model in water depth inversion [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 33-37.
[4]	WEN Yuxiao, Lü Jie, MA Qingxun, ZHANG Peng, XU Ruling. Study on inversion of forest biomass by LiDAR and hyperspectral [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 38-42.
[5]	JIANG Zelin, DENG Jian, LUAN Haijun, LI Lanhui. Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 43-48.
[6]	ZHENG Yan, HE Huan, BU Lijing, JIN Xin. Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 54-59.
[7]	RAN Chongxian, LI Senlei. Tree canopy delineation using UAV multispectral imagery [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 112-117.
[8]	LIU Li, DONG Xianmin, LIU Juan, WEN Xuehu. A new method of remote sensing interpretation production based on integration of human-machine and intelligence [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 118-123,137.
[9]	AI Min, JING Hui, TIAN Yudong, GUO Lanqin, PEI Yuanjie. Analysis of land use and coverage change and driving force in Hulan district of Harbin city in recent 20 Years [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 124-128.
[10]	LIU Yuxian, RUAN Minghao, YAN Zhen. A method for accurate extraction of gated electric towers based on airborne laser point cloud [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 129-133.
[11]	LIU Guochao, PENG Weiping, YANG Shuihua, HU Zhouwen. Detection and application of urban road disease based on ground penetrating radar+3D measuring endoscope [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 134-137.
[12]	LIU Xiaoyu, LIU Yang, DU Mingyi, ZHANG Min, JIA Jingjue, YANG Heng. Research on construction and demolition waste stacking point identification based on DeeplabV3+ [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 16-19,43.
[13]	LI Jiahao, ZHOU Lü, MA Jun, YANG Fei, XIAN Lingxiao. Deformation monitoring and mechanism analysis of urban subway line based on PS-InSAR technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 20-25.
[14]	SHI Yun, SHI Longlong, NIU Minjie, ZHAO Kan. Multi-task automatic identification of loess landslide based on one-stage instance segmentation network [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 26-31.
[15]	DOU Shiqing, CHEN Zhiyu, XU Yong, ZHENG Hegang, MIAO Linlin, SONG Yingying. Hyperspectral image classification based on multi-feature fusion and dimensionality reduction algorithms [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 32-36,50.