Single spectral band of health vegetation detection using a conventional camera

R. C. Barragán; G. Garcia-Torales; Ricardo Gonzalez-Romero; Marija Strojnik

doi:10.1117/12.2677925

20 October 2023 Single spectral band of health vegetation detection using a conventional camera

R. C. Barragán, G. Garcia-Torales, Ricardo Gonzalez-Romero, Marija Strojnik

Proceedings Volume 12686, Infrared Remote Sensing and Instrumentation XXXI; 126860O (2023) https://doi.org/10.1117/12.2677925
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Conference Poster

Abstract

Remote sensing used in vegetation monitoring has been a significant study area for decades. With the advent of multispectral and hyperspectral cameras, detecting healthy vegetation in forests and crops were more accessible through the ratio of different spectral bands that resulted in other vegetation indices. However, even with the usefulness and practicality of these methods, they need to be more accurate since they are relative values that depend on several factors of the internal composition of the vegetation. This work proposes the analysis of a spectral bandwidth of a central wavelength of 1 μm, using a conventional CCD camera as a detector with a bandpass filter with a linewidth of 10 nm. This range presents characteristics of water absorption but also reflectance due to the cellulose of the cell walls of the leaves. In this way, using the electro-optical array, the radiation reflected changes by several leaves will be analyzed considering the hydration and deterioration of the leaf.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

R. C. Barragán, G. Garcia-Torales, Ricardo Gonzalez-Romero, and Marija Strojnik "Single spectral band of health vegetation detection using a conventional camera", Proc. SPIE 12686, Infrared Remote Sensing and Instrumentation XXXI, 126860O (20 October 2023); https://doi.org/10.1117/12.2677925

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available