A database of global coastal conditions

Abstract

Remote sensing satellite imagery has the potential to monitor and understand dynamic environmental phenomena by retrieving information about Earth’s surface. Marine ecosystems, however, have been studied with less intensity than terrestrial ecosystems due, in part, to data limitations. Data on sea surface temperature (SST) and Chlorophyll-a (Chlo-a) can provide quantitative information of environmental conditions in coastal regions at a high spatial and temporal resolutions. Using the exclusive economic zone of coastal regions as the study area, we compiled monthly and annual statistics of SST and Chlo-a globally for 2003 to 2020. This ready-to-use dataset aims to reduce the computational time and costs for local-, regional-, continental-, and global-level studies of coastal areas. Data may be of interest to researchers in the areas of ecology, oceanography, biogeography, fisheries, and global change. Target applications of the database include environmental monitoring of biodiversity and marine microorganisms, and environmental anomalies.

The role of global reanalyses in climate services for health: Insights from the Lancet Countdown

“…To date, no global reanalysis dataset provides chlorophyll‐ a data. For the indicator, these are currently sourced from satellite data, namely the observations of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor in the Aqua satellite (Castaneda‐Guzman et al, 2021; Romanello et al, 2022b). Recently there have been attempts to model chlorophyll‐ a biomass using ERA5 variables as predictors (Stefanidis et al, 2021), but global‐extent, fine‐resolution, multidecadal data are not available to date.…”

Data consolidation for coastal management: the development of the Guyana coastal database platform

“…Then there is open resource data available from, but not limited to, numerous platforms such as the Copernicus Open Access Hub, the National Aeronautics and Space Administration (NASA) Earth Data Hub, the National Oceanic and Atmospheric Administration (NOAA) Comprehensive Large Array-Data Stewardship System (CLASS) and Vision on Technology (VITO) Free Satellite Imagery. The consolidation of open source data for coastal monitoring databases is well documented in the literature (see Castaneda-Guzman et al, 2021;Stronkhorst et al, 2018). As outlined in the literature (Wagener, 2005;Oyedotun and Burningham, 2021), coastal data for Guyana is sparse and readily available, but it is not in a manner that stakeholders can readily access mainly due to unawareness of the data sources.…”

“…The data consolidation process required accessing and storing available coastal data from the available open access resources nationally and internationally. A similar data consolidation process was adopted by Castaneda-Guzman et al (2021) in their development of a global database on coastal conditions. Castaneda-Guzman et al (2021) adopted a two-step approach, with the first step entailing data procurement and inputting and the second step looking at application and analysis.…”

TENet: A Texture-Enhanced Network for Intertidal Sediment and Habitat Classification in Multiband PolSAR Images

“…In situ observations of intertidal zones are scarce due to the inaccessibility of most areas [12]. Satellite remote sensing offers a valuable resource for monitoring coastal zones [13,14]. High-resolution multispectral remote sensing data obtained from satellite-borne optical sensors have been successfully employed for sediment and habitat classification on intertidal flats [15,16].…”