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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Format: | Article |
Language: | English |
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Wiley
2022-08-01
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Series: | Remote Sensing in Ecology and Conservation |
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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. |
first_indexed | 2024-04-13T10:00:40Z |
format | Article |
id | doaj.art-5dfc7e8c414343ed81b204073e775745 |
institution | Directory Open Access Journal |
issn | 2056-3485 |
language | English |
last_indexed | 2024-04-13T10:00:40Z |
publishDate | 2022-08-01 |
publisher | Wiley |
record_format | Article |
series | Remote Sensing in Ecology and Conservation |
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 |
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