Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites

Jiwei Li, David E. Knapp, Steven R. Schill, Chris Roelfsema, Stuart Phinn, Miles Silman, Joseph Mascaro, Gregory P. Asner

Research output: Contribution to journalArticle

Abstract

Accurate bathymetric mapping of shallow waters (above 15 m) is essential for a wide range of scientific research, government, transport, and industry globally. Satellite-based bathymetry estimation approaches offer an alternative to traditional shipborne measurements, especially given advancements in their spatial and temporal resolution of satellite imagery, including the new Planet Dove constellation of >150 satellites providing daily coastal coverage. Dove satellites provide abundant cloud-free images even over cloudy tropical coastal environment, offering an opportunity to generate frequent bathymetry maps at high spatial resolution (4 m). We developed a new adaptive bathymetry estimation algorithm for Planet Dove and similar satellites. The algorithm adaptively tunes a depth estimator according to water column attenuation conditions. The algorithm was tested at five diverse reef sites globally (Lighthouse Reef, Belize; Saona Island, Dominican Republic; St. Croix, U.S. Virgin Islands; Heron Island, Australia; Hawaii Island, U.S.) using 31 satellite images from six Dove satellites. Derived water depth was validated (RMSE = 1.22 to 1.86 m) with field-measured sampling points (61,025) ranging in depth from 1 to 15 m. Algorithm performance was best at depths of 4–10 m. This new adaptive algorithm can be effectively applied to derive high spatial resolution bathymetric maps from Planet Dove satellite imagery across a wide range of conditions.

Original languageEnglish (US)
Article number111302
JournalRemote Sensing of Environment
Volume232
DOIs
StatePublished - Oct 2019
Externally publishedYes

Fingerprint

Bathymetry
doves
Planets
bathymetry
coastal water
planet
Satellites
Water
Satellite imagery
Reefs
satellite imagery
shipborne measurement
spatial resolution
reef
Lighthouses
tropical environment
reefs
Virgin Islands of the United States
coastal zone
Adaptive algorithms

Keywords

  • Bathymetry
  • Benthic
  • Coastal region
  • Coral reef
  • Planet Dove
  • Seagrass
  • Shallow water

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

Cite this

Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites. / Li, Jiwei; Knapp, David E.; Schill, Steven R.; Roelfsema, Chris; Phinn, Stuart; Silman, Miles; Mascaro, Joseph; Asner, Gregory P.

In: Remote Sensing of Environment, Vol. 232, 111302, 10.2019.

Research output: Contribution to journalArticle

Li, Jiwei ; Knapp, David E. ; Schill, Steven R. ; Roelfsema, Chris ; Phinn, Stuart ; Silman, Miles ; Mascaro, Joseph ; Asner, Gregory P. / Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites. In: Remote Sensing of Environment. 2019 ; Vol. 232.
@article{6a6525bfa63e4093a3e3c418d07580d0,
title = "Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites",
abstract = "Accurate bathymetric mapping of shallow waters (above 15 m) is essential for a wide range of scientific research, government, transport, and industry globally. Satellite-based bathymetry estimation approaches offer an alternative to traditional shipborne measurements, especially given advancements in their spatial and temporal resolution of satellite imagery, including the new Planet Dove constellation of >150 satellites providing daily coastal coverage. Dove satellites provide abundant cloud-free images even over cloudy tropical coastal environment, offering an opportunity to generate frequent bathymetry maps at high spatial resolution (4 m). We developed a new adaptive bathymetry estimation algorithm for Planet Dove and similar satellites. The algorithm adaptively tunes a depth estimator according to water column attenuation conditions. The algorithm was tested at five diverse reef sites globally (Lighthouse Reef, Belize; Saona Island, Dominican Republic; St. Croix, U.S. Virgin Islands; Heron Island, Australia; Hawaii Island, U.S.) using 31 satellite images from six Dove satellites. Derived water depth was validated (RMSE = 1.22 to 1.86 m) with field-measured sampling points (61,025) ranging in depth from 1 to 15 m. Algorithm performance was best at depths of 4–10 m. This new adaptive algorithm can be effectively applied to derive high spatial resolution bathymetric maps from Planet Dove satellite imagery across a wide range of conditions.",
keywords = "Bathymetry, Benthic, Coastal region, Coral reef, Planet Dove, Seagrass, Shallow water",
author = "Jiwei Li and Knapp, {David E.} and Schill, {Steven R.} and Chris Roelfsema and Stuart Phinn and Miles Silman and Joseph Mascaro and Asner, {Gregory P.}",
year = "2019",
month = "10",
doi = "10.1016/j.rse.2019.111302",
language = "English (US)",
volume = "232",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Adaptive bathymetry estimation for shallow coastal waters using Planet Dove satellites

AU - Li, Jiwei

AU - Knapp, David E.

AU - Schill, Steven R.

AU - Roelfsema, Chris

AU - Phinn, Stuart

AU - Silman, Miles

AU - Mascaro, Joseph

AU - Asner, Gregory P.

PY - 2019/10

Y1 - 2019/10

N2 - Accurate bathymetric mapping of shallow waters (above 15 m) is essential for a wide range of scientific research, government, transport, and industry globally. Satellite-based bathymetry estimation approaches offer an alternative to traditional shipborne measurements, especially given advancements in their spatial and temporal resolution of satellite imagery, including the new Planet Dove constellation of >150 satellites providing daily coastal coverage. Dove satellites provide abundant cloud-free images even over cloudy tropical coastal environment, offering an opportunity to generate frequent bathymetry maps at high spatial resolution (4 m). We developed a new adaptive bathymetry estimation algorithm for Planet Dove and similar satellites. The algorithm adaptively tunes a depth estimator according to water column attenuation conditions. The algorithm was tested at five diverse reef sites globally (Lighthouse Reef, Belize; Saona Island, Dominican Republic; St. Croix, U.S. Virgin Islands; Heron Island, Australia; Hawaii Island, U.S.) using 31 satellite images from six Dove satellites. Derived water depth was validated (RMSE = 1.22 to 1.86 m) with field-measured sampling points (61,025) ranging in depth from 1 to 15 m. Algorithm performance was best at depths of 4–10 m. This new adaptive algorithm can be effectively applied to derive high spatial resolution bathymetric maps from Planet Dove satellite imagery across a wide range of conditions.

AB - Accurate bathymetric mapping of shallow waters (above 15 m) is essential for a wide range of scientific research, government, transport, and industry globally. Satellite-based bathymetry estimation approaches offer an alternative to traditional shipborne measurements, especially given advancements in their spatial and temporal resolution of satellite imagery, including the new Planet Dove constellation of >150 satellites providing daily coastal coverage. Dove satellites provide abundant cloud-free images even over cloudy tropical coastal environment, offering an opportunity to generate frequent bathymetry maps at high spatial resolution (4 m). We developed a new adaptive bathymetry estimation algorithm for Planet Dove and similar satellites. The algorithm adaptively tunes a depth estimator according to water column attenuation conditions. The algorithm was tested at five diverse reef sites globally (Lighthouse Reef, Belize; Saona Island, Dominican Republic; St. Croix, U.S. Virgin Islands; Heron Island, Australia; Hawaii Island, U.S.) using 31 satellite images from six Dove satellites. Derived water depth was validated (RMSE = 1.22 to 1.86 m) with field-measured sampling points (61,025) ranging in depth from 1 to 15 m. Algorithm performance was best at depths of 4–10 m. This new adaptive algorithm can be effectively applied to derive high spatial resolution bathymetric maps from Planet Dove satellite imagery across a wide range of conditions.

KW - Bathymetry

KW - Benthic

KW - Coastal region

KW - Coral reef

KW - Planet Dove

KW - Seagrass

KW - Shallow water

UR - http://www.scopus.com/inward/record.url?scp=85068576919&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068576919&partnerID=8YFLogxK

U2 - 10.1016/j.rse.2019.111302

DO - 10.1016/j.rse.2019.111302

M3 - Article

AN - SCOPUS:85068576919

VL - 232

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

M1 - 111302

ER -