A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept

Submersed aquatic plant (SAP) communities are important determinants of estuarine and lacustrine food web structure, nutrient cycling, and water quality. Variation in water quality, SAP community composition and cover present challenges when mapping SAP robustly across estuarine ecosystems. We propo...

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Main Authors: Shruti Khanna, Erin L. Hestir, Joaquim Bellvert, Jennifer D. Boyer, Kristen D. Shapiro, Susan L. Ustin
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:GIScience & Remote Sensing
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Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2024.2399386
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author Shruti Khanna
Erin L. Hestir
Joaquim Bellvert
Jennifer D. Boyer
Kristen D. Shapiro
Susan L. Ustin
author_facet Shruti Khanna
Erin L. Hestir
Joaquim Bellvert
Jennifer D. Boyer
Kristen D. Shapiro
Susan L. Ustin
author_sort Shruti Khanna
collection DOAJ
description Submersed aquatic plant (SAP) communities are important determinants of estuarine and lacustrine food web structure, nutrient cycling, and water quality. Variation in water quality, SAP community composition and cover present challenges when mapping SAP robustly across estuarine ecosystems. We propose three new spectral indices based on the soil-line concept that overcome the confounding influence of varying water quality and SAP cover in shallow inland waters. Spectral variability of water due to water quality differences can be modeled using a “water line” while SAP spectral differences due to cover and/or composition, can be modeled using a “SAP line.” Spectral distance of the pixel from the SAP line in a hypothetical two-band spectral space represents the inverse probability that the pixel contains SAP. This distance from the SAP line represents the Perpendicular SAP Index using an SAP line (PSIS). Correspondingly, the distance of a pixel from the water line represents the Perpendicular SAP Index using a Water line (PSIW). We also tested a compound index, PSIΔ, the difference between PSIS and PSIW, following the reasoning that an SAP pixel is closer to the SAP line compared to a water line and a water pixel is closer to the water line compared to the SAP line. The results of this study indicate that yellow and red-edge band-pairs performed best for calculating PSIS and red and red-edge band-pairs performed best for calculating PSIW. The same band-pairs as PSIW worked best for PSIΔ. The accuracy for PSIΔ was either as good as or better than the accuracy for PSIS or PSIW. The red-edge band required to calculate three PSI indices should be narrow (10–20 nm bandwidth) and centered around 700 nm. Bands ideal for calculating PSI are available on the Sentinel-2 and WorldView-3 satellite sensors. When compared to seven other narrow and broadband spectral indices from the same spectral region, PSIW and PSIΔ performed best for separating water and SAP classes. Thus, this family of indices shows promise for detection of SAP mats in shallow inland waters over a wide range of water quality parameters as observed in our estuarine study system and could prove to be a major step forward in detection of SAP using multispectral data.
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spelling doaj-art-7bfd11ef66fa4593876511075f5075a82025-08-20T01:59:30ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262024-12-0161110.1080/15481603.2024.2399386A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line conceptShruti Khanna0Erin L. Hestir1Joaquim Bellvert2Jennifer D. Boyer3Kristen D. Shapiro4Susan L. Ustin5Center for Spatial Technologies and Remote Sensing, University of California, Davis, CA, USADepartment of Civil & Environmental Engineering, University of California, Merced, CA, USACenter for Spatial Technologies and Remote Sensing, University of California, Davis, CA, USACenter for Spatial Technologies and Remote Sensing, University of California, Davis, CA, USACenter for Spatial Technologies and Remote Sensing, University of California, Davis, CA, USACenter for Spatial Technologies and Remote Sensing, University of California, Davis, CA, USASubmersed aquatic plant (SAP) communities are important determinants of estuarine and lacustrine food web structure, nutrient cycling, and water quality. Variation in water quality, SAP community composition and cover present challenges when mapping SAP robustly across estuarine ecosystems. We propose three new spectral indices based on the soil-line concept that overcome the confounding influence of varying water quality and SAP cover in shallow inland waters. Spectral variability of water due to water quality differences can be modeled using a “water line” while SAP spectral differences due to cover and/or composition, can be modeled using a “SAP line.” Spectral distance of the pixel from the SAP line in a hypothetical two-band spectral space represents the inverse probability that the pixel contains SAP. This distance from the SAP line represents the Perpendicular SAP Index using an SAP line (PSIS). Correspondingly, the distance of a pixel from the water line represents the Perpendicular SAP Index using a Water line (PSIW). We also tested a compound index, PSIΔ, the difference between PSIS and PSIW, following the reasoning that an SAP pixel is closer to the SAP line compared to a water line and a water pixel is closer to the water line compared to the SAP line. The results of this study indicate that yellow and red-edge band-pairs performed best for calculating PSIS and red and red-edge band-pairs performed best for calculating PSIW. The same band-pairs as PSIW worked best for PSIΔ. The accuracy for PSIΔ was either as good as or better than the accuracy for PSIS or PSIW. The red-edge band required to calculate three PSI indices should be narrow (10–20 nm bandwidth) and centered around 700 nm. Bands ideal for calculating PSI are available on the Sentinel-2 and WorldView-3 satellite sensors. When compared to seven other narrow and broadband spectral indices from the same spectral region, PSIW and PSIΔ performed best for separating water and SAP classes. Thus, this family of indices shows promise for detection of SAP mats in shallow inland waters over a wide range of water quality parameters as observed in our estuarine study system and could prove to be a major step forward in detection of SAP using multispectral data.https://www.tandfonline.com/doi/10.1080/15481603.2024.2399386Hyperspectral remote sensinginland estuarymappingenvironmental monitoringaquatic vegetation
spellingShingle Shruti Khanna
Erin L. Hestir
Joaquim Bellvert
Jennifer D. Boyer
Kristen D. Shapiro
Susan L. Ustin
A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept
GIScience & Remote Sensing
Hyperspectral remote sensing
inland estuary
mapping
environmental monitoring
aquatic vegetation
title A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept
title_full A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept
title_fullStr A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept
title_full_unstemmed A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept
title_short A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept
title_sort new index for detection of submerged aquatic plants under variable quality water an extension of the soil line concept
topic Hyperspectral remote sensing
inland estuary
mapping
environmental monitoring
aquatic vegetation
url https://www.tandfonline.com/doi/10.1080/15481603.2024.2399386
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