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

Autor:	Sergey V. Alkov, Aleksey M. Belov, M. L. Belov, Victor A. Gorodnichev
Rok vydání:	2020
Předmět:	Adverse conditions Laser sensor Near-infrared spectroscopy Reflection (physics) medicine Environmental science False alarm Measurement reliability Spectral bands medicine.symptom Vegetation (pathology) Remote sensing
Zdroj:	26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics.
DOI:	10.1117/12.2574748
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f42bbabdcdc69aabd9aece9478bca660 https://doi.org/10.1117/12.2574748 Zobrazit plný text záznamu