Exploring patterns of fine root morphological, chemical, and anatomical traits of 12 tree species from visible–near-infrared spectral reflectance

2019 ◽  
Vol 445 (1-2) ◽  
pp. 469-481
Author(s):  
Natsuko Tanikawa ◽  
Tatsuro Nakaji ◽  
Hikari Yahara ◽  
Naoki Makita
2013 ◽  
Vol 114 (4) ◽  
pp. 426-434 ◽  
Author(s):  
Nativ Rotbart ◽  
Zeev Schmilovitch ◽  
Yafit Cohen ◽  
Victor Alchanatis ◽  
Ran Erel ◽  
...  

1994 ◽  
Vol 47 (2) ◽  
pp. 190-203 ◽  
Author(s):  
Samuel N. Goward ◽  
Karl F. Huemmrich ◽  
Richard H. Waring

2020 ◽  
Vol 2020 (5) ◽  
pp. 106-1-106-7
Author(s):  
Axel Clouet ◽  
Célia Viola ◽  
Jérôme Vaillant

In this paper we present a set of multispectral images covering the visible and near-infrared spectral range (400 nm to 1050 nm). This dataset intends to provide spectral reflectance images containing daily life objects, usable for silicon image sensor simulations. All images were taken with our acquisition bench and a particular attention was brought to processings in order to provide calibrated reflectance data. ReDFISh (Reflectance Dataset For Image sensor Simulation) is available at: http://dx.doi.org/10.18709/perscido.2020.01.ds289.


Author(s):  
Paresh H. Rathod ◽  
Ingo Müller ◽  
Freek D. Van der Meer ◽  
Boudewijn de Smeth

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