Academic Journal

Coral Bleaching Detection in the Hawaiian Islands Using Spatio-Temporal Standardized Bottom Reflectance and Planet Dove Satellites

التفاصيل البيبلوغرافية
العنوان: Coral Bleaching Detection in the Hawaiian Islands Using Spatio-Temporal Standardized Bottom Reflectance and Planet Dove Satellites
المؤلفون: Yaping Xu, Nicholas R. Vaughn, David E. Knapp, Roberta E. Martin, Christopher Balzotti, Jiwei Li, Shawna A. Foo, Gregory P. Asner
المصدر: Remote Sensing; Volume 12; Issue 19; Pages: 3219
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2020
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: coral bleaching, coral reef, Hawaiian Islands, remote sensing, Planet Dove
جغرافية الموضوع: agris
الوصف: 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.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Coral Reefs Remote Sensing; https://dx.doi.org/10.3390/rs12193219
DOI: 10.3390/rs12193219
الاتاحة: https://doi.org/10.3390/rs12193219
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.D49E7129
قاعدة البيانات: BASE