Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change

Maxim Shoshany; Jisung Chang; Yisok Oh

doi:10.1109/APSCON56343.2023.10101295

Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change

Maxim Shoshany, Jisung Chang, Yisok Oh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Assessment of spectral vegetation indices' change along a climatic gradient as surrogates of climate change effect on desert fringe ecosystems is conducted in the southeastern Mediterranean utilizing Hyperspectral strip acquired by SPECIM FENIX sensor. This study presents the strip' center-line profile of 6 spectral indices (out of 27 indices): Normalized Difference Vegetation Index (NDVI), Crude Protein (CP), Visible Atmospherically Resistant Index (VARI), Red Edge Ratio Normalized Difference Vegetation Index (RERNDVI), Neutral detergent fiber (NDF), and Landsat TM2 and TM4 ratio. These profiles were smoothed using Savitzki-Gulay filter and their general trend along the profile was determined by using linear regression technique. R2, the coefficient of determination, represents implicitly the sensitivity of each of the spectral indices for changes in vegetation and soil properties to spatial variation in rainfall and Potential Evapotranspiration (PET). Three indices showed significant north to south trend despite effects of human disturbance on the natural ecosystems: NDVI (0.45 R2); Red-Edge index (0.528 R2) and VARI (0.689 R2). These indices may serve mapping and monitoring desert fringe ecosystems response to global warming.

Original language	English
Title of host publication	APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781665461634
DOIs	https://doi.org/10.1109/APSCON56343.2023.10101295
State	Published - 1 Jan 2023
Externally published	Yes
Event	2023 IEEE Applied Sensing Conference, APSCON 2023 - Bengaluru, India Duration: 23 Jan 2023 → 25 Jan 2023

Publication series

Name	APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings

Conference

Conference	2023 IEEE Applied Sensing Conference, APSCON 2023
Country/Territory	India
City	Bengaluru
Period	23/01/23 → 25/01/23

Keywords

aridity
climatic gradient
desert
Hyperspectral imagery
Spectral Indices

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Instrumentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/APSCON56343.2023.10101295

Cite this

Shoshany, M., Chang, J., & Oh, Y. (2023). Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change. In APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings (APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APSCON56343.2023.10101295

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title = "Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change",

abstract = "Assessment of spectral vegetation indices' change along a climatic gradient as surrogates of climate change effect on desert fringe ecosystems is conducted in the southeastern Mediterranean utilizing Hyperspectral strip acquired by SPECIM FENIX sensor. This study presents the strip' center-line profile of 6 spectral indices (out of 27 indices): Normalized Difference Vegetation Index (NDVI), Crude Protein (CP), Visible Atmospherically Resistant Index (VARI), Red Edge Ratio Normalized Difference Vegetation Index (RERNDVI), Neutral detergent fiber (NDF), and Landsat TM2 and TM4 ratio. These profiles were smoothed using Savitzki-Gulay filter and their general trend along the profile was determined by using linear regression technique. R2, the coefficient of determination, represents implicitly the sensitivity of each of the spectral indices for changes in vegetation and soil properties to spatial variation in rainfall and Potential Evapotranspiration (PET). Three indices showed significant north to south trend despite effects of human disturbance on the natural ecosystems: NDVI (0.45 R2); Red-Edge index (0.528 R2) and VARI (0.689 R2). These indices may serve mapping and monitoring desert fringe ecosystems response to global warming.",

keywords = "aridity, climatic gradient, desert, Hyperspectral imagery, Spectral Indices",

author = "Maxim Shoshany and Jisung Chang and Yisok Oh",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Applied Sensing Conference, APSCON 2023 ; Conference date: 23-01-2023 Through 25-01-2023",

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Shoshany, M, Chang, J & Oh, Y 2023, Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change. in APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings. APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings, Institute of Electrical and Electronics Engineers, 2023 IEEE Applied Sensing Conference, APSCON 2023, Bengaluru, India, 23/01/23. https://doi.org/10.1109/APSCON56343.2023.10101295

Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change. / Shoshany, Maxim; Chang, Jisung; Oh, Yisok.
APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings. Institute of Electrical and Electronics Engineers, 2023. (APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shoshany, Maxim

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N2 - Assessment of spectral vegetation indices' change along a climatic gradient as surrogates of climate change effect on desert fringe ecosystems is conducted in the southeastern Mediterranean utilizing Hyperspectral strip acquired by SPECIM FENIX sensor. This study presents the strip' center-line profile of 6 spectral indices (out of 27 indices): Normalized Difference Vegetation Index (NDVI), Crude Protein (CP), Visible Atmospherically Resistant Index (VARI), Red Edge Ratio Normalized Difference Vegetation Index (RERNDVI), Neutral detergent fiber (NDF), and Landsat TM2 and TM4 ratio. These profiles were smoothed using Savitzki-Gulay filter and their general trend along the profile was determined by using linear regression technique. R2, the coefficient of determination, represents implicitly the sensitivity of each of the spectral indices for changes in vegetation and soil properties to spatial variation in rainfall and Potential Evapotranspiration (PET). Three indices showed significant north to south trend despite effects of human disturbance on the natural ecosystems: NDVI (0.45 R2); Red-Edge index (0.528 R2) and VARI (0.689 R2). These indices may serve mapping and monitoring desert fringe ecosystems response to global warming.

AB - Assessment of spectral vegetation indices' change along a climatic gradient as surrogates of climate change effect on desert fringe ecosystems is conducted in the southeastern Mediterranean utilizing Hyperspectral strip acquired by SPECIM FENIX sensor. This study presents the strip' center-line profile of 6 spectral indices (out of 27 indices): Normalized Difference Vegetation Index (NDVI), Crude Protein (CP), Visible Atmospherically Resistant Index (VARI), Red Edge Ratio Normalized Difference Vegetation Index (RERNDVI), Neutral detergent fiber (NDF), and Landsat TM2 and TM4 ratio. These profiles were smoothed using Savitzki-Gulay filter and their general trend along the profile was determined by using linear regression technique. R2, the coefficient of determination, represents implicitly the sensitivity of each of the spectral indices for changes in vegetation and soil properties to spatial variation in rainfall and Potential Evapotranspiration (PET). Three indices showed significant north to south trend despite effects of human disturbance on the natural ecosystems: NDVI (0.45 R2); Red-Edge index (0.528 R2) and VARI (0.689 R2). These indices may serve mapping and monitoring desert fringe ecosystems response to global warming.

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KW - climatic gradient

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KW - Hyperspectral imagery

KW - Spectral Indices

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DO - 10.1109/APSCON56343.2023.10101295

M3 - Conference contribution

AN - SCOPUS:85158023813

T3 - APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings

BT - APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 2023 IEEE Applied Sensing Conference, APSCON 2023

Y2 - 23 January 2023 through 25 January 2023

ER -

Shoshany M, Chang J, Oh Y. Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change. In APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings. Institute of Electrical and Electronics Engineers. 2023. (APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings). doi: 10.1109/APSCON56343.2023.10101295

Analysis of Multi-Indices from Hyperspectral strip along Climatic Gradient as Surrogates of Climate Change

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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