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Simultaneous retrieval of soil, leaf, canopy and atmospheric parameters from hyperspectral information in the red edge through model inversion

机译：通过模型反演同时从红边的高光谱信息中检索土壤，叶片，冠层和大气参数

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Verhoef W.;
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年度 2000
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正文语种 en
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1. Retrieval of Forest Canopy Parameters by Inversion of the PROFLAIR Leaf-Canopy Reflectance Model Using the LUT Approach [J] . Omari K., White H.P., Staenz K., Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2013,第2aPart2期

机译：利用LUT方法反演PROFLAIR叶层反射率模型反演森林冠层参数
2. Mapping forest canopy nitrogen content by inversion of coupled leaf-canopy radiative transfer models from airborne hyperspectral imagery [J] . Zhihui Wang, Andrew K. Skidmore, Roshanak Darvishzadeh, Agricultural and Forest Meteorology . 2018,第期

机译：通过耦合叶冠层辐射转移模型从机载高光谱图像中映射森林冠层氮含量
3. Extracting Red Edge Position Parameters from Ground- and Space-Based Hyperspectral Data for Estimation of Canopy Leaf Nitrogen Concentration in Rice [J] . Yongchao Tian, Xia Yao, Jie Yang, Plant Production Science . 2011,第3期

机译：从地面和空间高光谱数据中提取红边位置参数，以估算水稻冠层叶氮含量
4. Simultaneous retrieval of soil leaf canopy and atmospheric parameters from hyperspectral information in the red edge through model inversion [C] . Wout Verhoef, National Aerospace Lab. NLR, Emmeloord, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications . 1999

机译：通过模型反演同时获取红边缘高光谱信息中的土壤冠层和大气参数
5. Design of an efficient retrieval scheme for forest parameters based on canopy models and radar measurements. [D] . Amar, Faouzi. 1996

机译：基于林冠模型和雷达测量的森林参数有效检索方案的设计。
6. Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing [O] . Yingli Cao, Kailun Jiang, Jingxian Wu, 2020

机译：粳稻冠层叶绿素含量与UAV高光谱遥感的反演模拟
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8. Simultaneous Retrieval of Soil, Leaf, Canopy and Atmospheric Parameters from Hyperspectral Information in the Red Edge through Model Inversion. [R] . Verhoef, W. 2000

机译：利用模型反演同时反演红边高光谱信息中的土壤，叶片，冠层和大气参数。

Simultaneous retrieval of soil, leaf, canopy and atmospheric parameters from hyperspectral information in the red edge through model inversion

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