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Satellite-based remote sensing of water clarity in the shallow coastal lagoons of Virginia 2013-2021

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DataCite Commons2023-07-28 更新2025-04-15 收录
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https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-vcr.339.5
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This dataset contains raw data, analysis products and code for a study of satellite-based estimation of water clarity. The files are: Match-up.csv: In situ Secchi depths collected by the Virginia Coast Reserve Long Term Ecological Research project (VCR LTER), matched with satellite (Landsat-8/Sentinel-2) Secchi depth estimates from 2013-2022 from NASA SeaDAS 8.2. Satellite overpasses occurred +/- 0-1 days within in situ sampling. Valid remote sensing reflectance values (Rrs) from NASA SeaDAS (not masked by quality flags) were recovered at 12 of 17 in situ sampling sites: 6 ocean inlet sites, 2 lagoon site, and 3 mainland tidal creek sites. Therefore, there are 12 in situ sites available for comparison with satellite estimates. compare_L8S2.csv: Satellite data and water clarity estimates from 150 randomly sampled sites across 5 clear day images in the Virginia Coast Reserve, 2021. Satellite data are from Landsat-8 and Sentinel-2 and processed/atmospherically-corrected using NASA SeaDAS 8.2. The Virginia Coast Reserve is a coastal lagoon system located in Virginia, USA, near the southern tip of the Delmarva Peninsula. Due to low nitrogen inputs and frequent exchange with the Atlantic Ocean via inlets between barrier islands, water quality is high relative to many other coastal bays in the United States and worldwide. Spatial_averaging_analysis.csv: Secchi depths at in situ water quality sites at 10 m resolution (Sentinel-2 only), 30 m resolution (Landsat-8 and Sentinel-2), and 90 m resolution (Landsat-8 and Sentinel-2) where there are in situ match-ups. atmocorrect.csv: In situ Secchi depths collected by the Virginia Coast Reserve Long Term Ecological Research project (VCR LTER), matched with satellite (Landsat-8/Sentinel-2) Secchi depth estimates from 2013-2022 from NASA SeaDAS 8.2 and ACOLITE Version 2022022.00. L8_ALL.csv: All Landsat-8 Secchi depth data available between 2013-2021 at in situ water quality sites. S2_ALL.csv: All Sentinel-2 Secchi depth data available between 2015-2021 at in situ water quality sites. in_DATA.csv: All in situ water quality data 1992 - 2021 from VCR LTER (https://www.vcrlter.virginia.educgi-bin/showDataset.cgi?docid=knb-lter-vcr.247.17) L8_Level2.zip: Landsat-8 Level-2 images (NetCDF files), atmospherically-corrected and processed with NASA SeaDAS 8.2. See methods and protocols for more information. S2A_Level2.zip: Sentinel-2A Level-2 images (NetCDF files), atmospherically-corrected and processed with NASA SeaDAS 8.2. See methods and protocols for more information. S2B_Level2.zip: Sentinel-2B Level-2 images (NetCDF files), atmospherically-corrected and processed with NASA SeaDAS 8.2. See methods and protocols for more information. Coastal-OC-Remote-Sensing.zip Matlab code and supporting files used in data processing. Downloaded from GitHub 2022-09-30.
提供机构:
Environmental Data Initiative
创建时间:
2022-12-02
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