Capability analysis of optical sensors for vegetation monitoring in different spectral bands

Michael L. Belov; Aleksey M. Belov; Victor A. Gorodnichev; Sergey V. Alkov

doi:10.1117/12.2574748

12 November 2020 Capability analysis of optical sensors for vegetation monitoring in different spectral bands

Michael L. Belov, Aleksey M. Belov, Victor A. Gorodnichev, Sergey V. Alkov

Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 1156037 (2020) https://doi.org/10.1117/12.2574748
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation

Abstract

The paper provides a capability analysis of optical sensors for remote monitoring of vegetation condition in visible (VIS) and near infrared (NIR) bands. Mathematical modelling based on the spectral libraries of vegetation reflection coefficients shows that a hyper-spectral sensor with narrow spectral channels (or a laser sensor) allows us to detect the vegetation under adverse conditions with correct detection probability close to one and false alarm probability ~ second decimal places both in VIS and NIR bands below 1 μm and in the near infrared band above 1.4 μm. Data sharing in various spectral bands enables enhancing measurement reliability.

Citation Download Citation

Michael L. Belov, Aleksey M. Belov, Victor A. Gorodnichev, and Sergey V. Alkov "Capability analysis of optical sensors for vegetation monitoring in different spectral bands", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 1156037 (12 November 2020); https://doi.org/10.1117/12.2574748

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