A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum

Vegetation index algorithms based on radiance and/or reflectance data in the Visible Near Infrared (VNIR) band are created for multispectral and hyperspectral images to detect vegetation. By this way, vegetation and soil regions can be separated from each other. Furthermore, vegetation maturity and...

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Autores principales:	Yucel Cimtay, Busra Ozbay, Gokce Nur Yilmaz, Eda Bozdemir
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Vegetation index short wave infrared hyperspectral image precision agriculture Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/1ff7c31e4b964a39b75c2b5675a4aacc
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spelling	oai:doaj.org-article:1ff7c31e4b964a39b75c2b5675a4aacc2021-11-18T00:05:47ZA New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum2169-353610.1109/ACCESS.2021.3124453https://doaj.org/article/1ff7c31e4b964a39b75c2b5675a4aacc2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9594823/https://doaj.org/toc/2169-3536Vegetation index algorithms based on radiance and/or reflectance data in the Visible Near Infrared (VNIR) band are created for multispectral and hyperspectral images to detect vegetation. By this way, vegetation and soil regions can be separated from each other. Furthermore, vegetation maturity and health can be observed and tracked. Besides VNIR band cameras, there are many cameras working in the Short Wavelength Infrared (SWIR) band. Therefore, the plant areas should also be detected in SWIR band images. For the purpose of the vegetation detection, a new vegetation index algorithm is created for SWIR hyperspectral images in this research. The proposed method’s feasibility and precision is evaluated using SWIR band hyperspectral data collected at various locations and times during the year. Test results show that besides vegetation regions, soil and water regions in the SWIR band hyperspectral images can be detected successfully. On Hyperion hyperspectral data, 98.9% and 98.5% mean scores are achieved for recall and precision, respectively.Yucel CimtayBusra OzbayGokce Nur YilmazEda BozdemirIEEEarticleVegetation indexshort wave infraredhyperspectral imageprecision agricultureElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 148535-148545 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation index short wave infrared hyperspectral image precision agriculture Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Vegetation index short wave infrared hyperspectral image precision agriculture Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yucel Cimtay Busra Ozbay Gokce Nur Yilmaz Eda Bozdemir A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum
description	Vegetation index algorithms based on radiance and/or reflectance data in the Visible Near Infrared (VNIR) band are created for multispectral and hyperspectral images to detect vegetation. By this way, vegetation and soil regions can be separated from each other. Furthermore, vegetation maturity and health can be observed and tracked. Besides VNIR band cameras, there are many cameras working in the Short Wavelength Infrared (SWIR) band. Therefore, the plant areas should also be detected in SWIR band images. For the purpose of the vegetation detection, a new vegetation index algorithm is created for SWIR hyperspectral images in this research. The proposed method’s feasibility and precision is evaluated using SWIR band hyperspectral data collected at various locations and times during the year. Test results show that besides vegetation regions, soil and water regions in the SWIR band hyperspectral images can be detected successfully. On Hyperion hyperspectral data, 98.9% and 98.5% mean scores are achieved for recall and precision, respectively.
format	article
author	Yucel Cimtay Busra Ozbay Gokce Nur Yilmaz Eda Bozdemir
author_facet	Yucel Cimtay Busra Ozbay Gokce Nur Yilmaz Eda Bozdemir
author_sort	Yucel Cimtay
title	A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum
title_short	A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum
title_full	A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum
title_fullStr	A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum
title_full_unstemmed	A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum
title_sort	new vegetation index in short-wave infrared region of electromagnetic spectrum
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/1ff7c31e4b964a39b75c2b5675a4aacc
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A New Vegetation Index in Short-Wave Infrared Region of Electromagnetic Spectrum

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