Piecewise Wiener estimation for reconstruction of spectral reflectance image by multipoint spectral measurements

2009 ◽  
Vol 48 (11) ◽  
pp. 2188 ◽  
Author(s):  
Yuri Murakami ◽  
Masahiro Yamaguchi ◽  
Nagaaki Ohyama
Sensors ◽  
2013 ◽  
Vol 13 (6) ◽  
pp. 7902-7915 ◽  
Author(s):  
Izumi Nishidate ◽  
Takaaki Maeda ◽  
Kyuichi Niizeki ◽  
Yoshihisa Aizu

2021 ◽  
Vol 13 (5) ◽  
pp. 980
Author(s):  
Shahar Weksler ◽  
Offer Rozenstein ◽  
Nadav Haish ◽  
Menachem Moshelion ◽  
Rony Wallach ◽  
...  

Symptoms of root stress are hard to detect using non-invasive tools. This study reveals proof of concept for vegetation indices’ ability, usually used to sense canopy status, to detect root stress, and performance status. Pepper plants were grown under controlled greenhouse conditions under different potassium and salinity treatments. The plants’ spectral reflectance was measured on the last day of the experiment when more than half of the plants were already naturally infected by root disease. Vegetation indices were calculated for testing the capability to distinguish between healthy and root-damaged plants using spectral measurements. While no visible symptoms were observed in the leaves, the vegetation indices and red-edge position showed clear differences between the healthy and the root-infected plants. These results were achieved after a growth period of 32 days, indicating the ability to monitor root damage at an early growing stage using leaf spectral reflectance.


2017 ◽  
Author(s):  
Kiyomi Sato ◽  
Shota Miyazawa ◽  
Hideki Funamizu ◽  
Tomonori Yuasa ◽  
Izumi Nishidate ◽  
...  

2021 ◽  
Vol 13 (9) ◽  
pp. 1831
Author(s):  
Iosif L. Katsev ◽  
Alexander S. Prikhach ◽  
Eleonora P. Zege ◽  
Alexander A. Kokhanovsky

In this work, we propose simple and robust technique for the retrieval of underlying surface spectral reflectance using spaceborne observations. It can be used to process both multispectral moderate resolution satellite data and also multi-zone high spatial resolution data. The technique can work automatically for different types of land surfaces without using huge databases accumulated in advance. The new cloud discrimination and retrieval of the water vapor content in atmosphere procedures are presented. The key point of the proposed atmospheric correction technique is the suggested single-wavelength method for determining the atmospheric aerosol optical thickness without reference to a specific type of underlying surface spectrum. The retrievals of spectral reflectance for various land surfaces with developed technique, performed using computer simulation and experimental data, have demonstrated a high retrieval accuracy.


2016 ◽  
Vol 2016.54 (0) ◽  
pp. 5-6
Author(s):  
Shota MIYAZAWA ◽  
Kiyomi SATO ◽  
Hideki FUNAMIZU ◽  
Tomonori YUASA ◽  
Yoshihisa AIZU

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