Remote sensing of chemical gas cloud emission by passive infrared scanning imaging system

Author(s):  
Liang Xu ◽  
Minguang Gao ◽  
Jianguo Liu ◽  
Yang Jiao ◽  
Mingchun Feng ◽  
...  
2010 ◽  
Author(s):  
Gang Wang ◽  
Jianlin Li ◽  
Xinbo Zheng ◽  
Zhonghua Fang

2011 ◽  
Vol 15 (4) ◽  
pp. 340-344 ◽  
Author(s):  
c Song ◽  
Jun Chang ◽  
Jiao Cao ◽  
Lifei Zhang ◽  
Yao Wen ◽  
...  

2012 ◽  
Vol 518-523 ◽  
pp. 5697-5703
Author(s):  
Zhao Yan Liu ◽  
Ling Ling Ma ◽  
Ling Li Tang ◽  
Yong Gang Qian

The aim of this study is to assess the capability of estimating Leaf Area Index (LAI) from high spatial resolution multi-angular Vis-NIR remote sensing data of WiDAS (Wide-Angle Infrared Dual-mode Line/Area Array Scanner) imaging system by inverting the coupled radiative transfer models PROSPECT-SAILH. Based on simulations from SAILH canopy reflectance model and PROSPECT leaf optical properties model, a Look-up Table (LUT) which describes the relationship between multi-angular canopy reflectance and LAI has been produced. Then the LAI can be retrieved from LUT by directly matching canopy reflectance of six view directions and four spectral bands with LAI. The inversion results are validated by field data, and by comparing the retrieval results of single-angular remote sensing data with multi-angular remote sensing data, we can found that the view angle takes the obvious impact on the LAI retrieval of single-angular data and that high accurate LAI can be obtained from the high resolution multi-angular remote sensing technology.


2021 ◽  
pp. 103973
Author(s):  
Yang Qu ◽  
Yijun Jiang ◽  
Xue Jia ◽  
Chang Chen ◽  
Mingzhi Duan ◽  
...  

2021 ◽  
Author(s):  
YUNYOU HU ◽  
Liang Xu ◽  
Xianchun Shen ◽  
Lin Jin ◽  
HanYang Xu ◽  
...  

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