Shallow coastal water turbidity monitoring using Planet Dove satellites

Abstract Turbidity monitoring in shallow coastal waters is fundamental to marine ecosystem research, management and protection. Satellite‐based water turbidity monitoring can be conducted at a greater spatial extent and higher temporal frequency than field measurements. The new Planet Dove satellite...

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Main Authors: Jiwei Li, Rachel R. Carlson, David E. Knapp, Gregory P. Asner
Format: Article
Language:English
Published: Wiley 2022-08-01
Series:Remote Sensing in Ecology and Conservation
Subjects:
Online Access:https://doi.org/10.1002/rse2.259
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author Jiwei Li
Rachel R. Carlson
David E. Knapp
Gregory P. Asner
author_facet Jiwei Li
Rachel R. Carlson
David E. Knapp
Gregory P. Asner
author_sort Jiwei Li
collection DOAJ
description Abstract Turbidity monitoring in shallow coastal waters is fundamental to marine ecosystem research, management and protection. Satellite‐based water turbidity monitoring can be conducted at a greater spatial extent and higher temporal frequency than field measurements. The new Planet Dove satellite constellation has a daily revisit frequency and higher spatial resolution than Sentinel or Landsat satellites, allowing Planet Dove to track water turbidity dynamics in greater detail when suitable atmospheric correction is provided. We developed a new shallow coastal water turbidity estimation algorithm for Planet Dove and similar multi‐spectral satellites. Our algorithm accounts for bottom reflectance in total water‐leaving radiance to derive turbidity values in shallow coastal waters. We tested the algorithm with data from 235 Dove satellite images at five sites with different water conditions (Pelekane Bay, Big Island, Hawai‘i; Hilo Bay, Big Island, Hawai‘i; Kilo Nalu and Ala Wai, O‘ahu, Hawai‘i; Fagatele Bay, American Samoa; Vieques Island, Puerto Rico). We then validated satellite‐derived turbidity results (RMSE = 0.79–1.12 FNU [Formazin Nephelometric Unit]) using 75 days of field‐measured data, ranging in turbidity from 0.1 to 11.6 FNU in the five sites. Results show that our algorithm accurately detects turbidity in critical nearshore environments. In Hawai‘i, we used ~6700 Dove images to support a weekly turbidity monitoring study at a large geographic scale. We found this new, shallow‐water algorithm can be effectively applied to Dove satellite data to monitor water turbidity at high temporal resolution.
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spelling doaj.art-5dfc7e8c414343ed81b204073e7757452022-12-22T02:51:15ZengWileyRemote Sensing in Ecology and Conservation2056-34852022-08-018452153510.1002/rse2.259Shallow coastal water turbidity monitoring using Planet Dove satellitesJiwei Li0Rachel R. Carlson1David E. Knapp2Gregory P. Asner3Center for Global Discovery and Conservation Science Arizona State University Tempe Arizona 85281 USACenter for Global Discovery and Conservation Science Arizona State University Tempe Arizona 85281 USACenter for Global Discovery and Conservation Science Arizona State University Tempe Arizona 85281 USACenter for Global Discovery and Conservation Science Arizona State University Tempe Arizona 85281 USAAbstract Turbidity monitoring in shallow coastal waters is fundamental to marine ecosystem research, management and protection. Satellite‐based water turbidity monitoring can be conducted at a greater spatial extent and higher temporal frequency than field measurements. The new Planet Dove satellite constellation has a daily revisit frequency and higher spatial resolution than Sentinel or Landsat satellites, allowing Planet Dove to track water turbidity dynamics in greater detail when suitable atmospheric correction is provided. We developed a new shallow coastal water turbidity estimation algorithm for Planet Dove and similar multi‐spectral satellites. Our algorithm accounts for bottom reflectance in total water‐leaving radiance to derive turbidity values in shallow coastal waters. We tested the algorithm with data from 235 Dove satellite images at five sites with different water conditions (Pelekane Bay, Big Island, Hawai‘i; Hilo Bay, Big Island, Hawai‘i; Kilo Nalu and Ala Wai, O‘ahu, Hawai‘i; Fagatele Bay, American Samoa; Vieques Island, Puerto Rico). We then validated satellite‐derived turbidity results (RMSE = 0.79–1.12 FNU [Formazin Nephelometric Unit]) using 75 days of field‐measured data, ranging in turbidity from 0.1 to 11.6 FNU in the five sites. Results show that our algorithm accurately detects turbidity in critical nearshore environments. In Hawai‘i, we used ~6700 Dove images to support a weekly turbidity monitoring study at a large geographic scale. We found this new, shallow‐water algorithm can be effectively applied to Dove satellite data to monitor water turbidity at high temporal resolution.https://doi.org/10.1002/rse2.259Benthiccoastal watercoral reefPlanet Doveshallow waterturbidity
spellingShingle Jiwei Li
Rachel R. Carlson
David E. Knapp
Gregory P. Asner
Shallow coastal water turbidity monitoring using Planet Dove satellites
Remote Sensing in Ecology and Conservation
Benthic
coastal water
coral reef
Planet Dove
shallow water
turbidity
title Shallow coastal water turbidity monitoring using Planet Dove satellites
title_full Shallow coastal water turbidity monitoring using Planet Dove satellites
title_fullStr Shallow coastal water turbidity monitoring using Planet Dove satellites
title_full_unstemmed Shallow coastal water turbidity monitoring using Planet Dove satellites
title_short Shallow coastal water turbidity monitoring using Planet Dove satellites
title_sort shallow coastal water turbidity monitoring using planet dove satellites
topic Benthic
coastal water
coral reef
Planet Dove
shallow water
turbidity
url https://doi.org/10.1002/rse2.259
work_keys_str_mv AT jiweili shallowcoastalwaterturbiditymonitoringusingplanetdovesatellites
AT rachelrcarlson shallowcoastalwaterturbiditymonitoringusingplanetdovesatellites
AT davideknapp shallowcoastalwaterturbiditymonitoringusingplanetdovesatellites
AT gregorypasner shallowcoastalwaterturbiditymonitoringusingplanetdovesatellites