{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:11:00Z","timestamp":1760242260296,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2017,2,16]],"date-time":"2017-02-16T00:00:00Z","timestamp":1487203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NASA","award":["NNG04GE43G","NNX07AF20G","NNX11AP77"],"award-info":[{"award-number":["NNG04GE43G","NNX07AF20G","NNX11AP77"]}]},{"DOI":"10.13039\/100000192","name":"NOAA","doi-asserted-by":"publisher","award":["NA04NOS4780264"],"award-info":[{"award-number":["NA04NOS4780264"]}],"id":[{"id":"10.13039\/100000192","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The development of satellite-derived datasets has greatly facilitated large-scale ecological studies, as in situ observations are spatially sparse and expensive undertakings. We tested the efficacy of using satellite sea surface temperature (SST) collected by NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) and local water temperature collected from NOAA buoys and onshore stations to estimate submerged intertidal mussel logger temperatures. Daily SST and local water temperatures were compared to mussel logger temperatures at five study sites located along the Oregon coastline. We found that satellite-derived SSTs and local water temperatures were similarly correlated to the submerged mussel logger temperatures. This finding suggests that satellite-derived SSTs may be used in conjunction with local water temperatures to understand the temporal and spatial variation of mussel logger temperatures. While there are limitations to using satellite-derived temperature for ecological studies, including issues with temporal and spatial resolution, our results are promising.<\/jats:p>","DOI":"10.3390\/rs9020162","type":"journal-article","created":{"date-parts":[[2017,2,16]],"date-time":"2017-02-16T12:55:34Z","timestamp":1487249734000},"page":"162","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["From Space to the Rocky Intertidal: Using NASA MODIS Sea Surface Temperature and NOAA Water Temperature to Predict Intertidal Logger Temperature"],"prefix":"10.3390","volume":"9","author":[{"given":"Jessica","family":"Sutton","sequence":"first","affiliation":[{"name":"Biological Sciences, University of South Carolina, Columbia, SC 29208, USA"}]},{"given":"Venkat","family":"Lakshmi","sequence":"additional","affiliation":[{"name":"Geological Sciences, University of South Carolina, Columbia, SC 29208, USA"}]}],"member":"1968","published-online":{"date-parts":[[2017,2,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.rse.2015.04.026","article-title":"Enhanced satellite remote sensing of coastal waters using spatially improved bio-optical products from SNPP-VIIRS","volume":"165","author":"Vandermeulen","year":"2015","journal-title":"Remote Sens. 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