Title
Coral Bleaching Detection in the Hawaiian Islands Using Spatio-Temporal Standardized Bottom Reflectance and Planet Dove Satellites.
Abstract
We present a new method for the detection of coral bleaching using satellite time-series data. While the detection of coral bleaching from satellite imagery is difficult due to the low signal-to-noise ratio of benthic reflectance, we overcame this difficulty using three approaches: 1) specialized pre-processing developed for Planet Dove satellites, 2) a time-series approach for determining baseline reflectance statistics, and 3) a regional filter based on a preexisting map of live coral. The time-series was divided into a baseline period (April-July 2019), when no coral bleaching was known to have taken place, and a bleaching period (August 2019-present), when the bleaching was known to have occurred based on field data. The identification of the bleaching period allowed the computation of a Standardized Bottom Reflectance (SBR) for each region. SBR transforms the weekly bottom reflectance into a value relative to the baseline reflectance distribution statistics, increasing the sensitivity to bleaching detection. We tested three scales of the temporal smoothing of the SBR (weekly, cumulative average, and three-week moving average). Our field verification of coral bleaching throughout the main Hawaiian Islands showed that the cumulative average and three-week moving average smoothing detected the highest proportion of coral bleaching locations, correctly identifying 11 and 10 out of 18 locations, respectively. However, the three-week moving average provided a better sensitivity in coral bleaching detection, with a performance increase of at least one standard deviation, which helps define the confidence level of a detected bleaching event.
Year
DOI
Venue
2020
10.3390/rs12193219
REMOTE SENSING
Keywords
DocType
Volume
coral bleaching,coral reef,Hawaiian Islands,remote sensing,Planet Dove
Journal
12
Issue
Citations 
PageRank 
19
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Yaping Xu100.34
nicholas r vaughn2253.11
david e knapp381.76
Martin, R.E.4153.66
Christopher Balzotti500.34
Jiwei Li600.34
Shawna A. Foo700.34
Gregory P Asner812720.91