This DATSETNAMEreadme.txt file was generated on 2021-05-25 by Ken Clarke GENERAL INFORMATION 1. Title of Dataset: Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast 2. Author Information A. Corresponding Author Contact Information Name: Milena Fernandes Institution: South Australian Water Corporation Address: Adelaide, South Australia Email: Milena.Fernandes@sawater.com.au B. Lead Author Contact Information Name: Ken Clarke Institution: University of Adelaide Address: Adelaide, South Australia Email: kenneth.clarke@adelaide.edu.au 3. Date of data collection (approximate date): 2018-03-01 4. Geographic location of data collection: The study area covered 784 km2 in coastal waters up to 17 m depth off Adelaide, South Australia 5. Information about funding sources that supported the collection of the data: The project was jointly funded by SA Water Corporation, South Australian Environment Protection Authority and Department for Environment and Water SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: CCBy 2. Links to publications that cite or use the data: https://doi.org/10.1038/s41598-021-83728-6 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? no A. If yes, list source(s): 6. Recommended citation for this dataset: Clarke, K., Hennessy, A., McGrath, A., Daly, R., Gaylard, S., Turner, A., Cameron, J., Lewis, M., Fernandes, M.B. (2021). Benthic classification maps associated with the paper "Using Hyperspectral Imagery to Investigate Large-Scale Seagrass Cover and Genus Distribution in a Temperate Coast. Scientific Reports 11: 1-9”. Figshare dataset: https://doi.org/10.25909/14752005 DATA & FILE OVERVIEW 1. File List: Product A consists of the following files: Adelaide-seagrass-ProductA_v1.4-fully_masked.img Adelaide-seagrass-ProductA_v1.4-fully_masked.img.aux.xml Adelaide-seagrass-ProductA_v1.4-fully_masked.img.enp Adelaide-seagrass-ProductA_v1.4-fully_masked.img.vat.cpg Adelaide-seagrass-ProductA_v1.4-fully_masked.img.vat.dbf Adelaide-seagrass-ProductA_v1.4-fully_masked.img.xml Adelaide-seagrass-ProductA_v1.4-fully_masked.rrd Product B consists of the following files: Adelaide-seagrass-ProductB_v1.0.img Adelaide-seagrass-ProductB_v1.0.img.aux.xml Adelaide-seagrass-ProductB_v1.0.img.vat.cpg Adelaide-seagrass-ProductB_v1.0.img.vat.dbf Adelaide-seagrass-ProductB_v1.0.rrd The .img files contain the raster (image) data, while the other files are supporting files interpreted by a Geographic Information System (GIS) to understand the spatial extent and location of the images. 2. Relationship between files, if important: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? no A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: Methods described in Clarke, K., A. Hennessy, A. McGrath, R. Daly, S. Gaylard, A. Turner, J. Cameron, M. Lewis and M. Fernandes (2021). "Using hyperspectral imagery to investigate the interplay between genus distribution and large-scale seagrass recovery in a temperate coast " Scientific Reports 11. 2. Methods for processing the data: Methods described in Clarke, K., A. Hennessy, A. McGrath, R. Daly, S. Gaylard, A. Turner, J. Cameron, M. Lewis and M. Fernandes (2021). "Using hyperspectral imagery to investigate the interplay between genus distribution and large-scale seagrass recovery in a temperate coast " Scientific Reports 11. 3. Instrument- or software-specific information needed to interpret the data: Data is image (raster) data in .img format. Any GIS software (e.g., ArcGIS, MapInfo or the open source QGIS), remote sensing software (e.g., ENVI, ERDAS Imagine, ER Mapper), or R or Python raster processing libraries will handle .img data. 4. Standards and calibration information, if appropriate: NA 5. Environmental/experimental conditions: NA 6. Describe any quality-assurance procedures performed on the data: The data are supervised classifications of hyperspectral imagery for benthic cover mapping. Accuracy assessments of mapping were conducted, and are reported in detail in the above cited paper. To summarise, overall mapping accuracy for Product A was 98 %, and for Product B was 85 %. 7. People involved with sample collection, processing, analysis and/or submission: Kenneth Clarke, Andrew Hennessy, Andrew McGrath, Robert Daly, Sam Gaylard, Alison Turner, James Cameron, Megan Lewis, and Milena B. Fernandes. DATA-SPECIFIC INFORMATION FOR: [Adelaide-seagrass-ProductA_v1.4-fully_masked.img] 1. Data value explanation: Data values indicate cover type as follows: 0 = NoData 1 = Reef 50 = Non-substrate (seagrass) 200 = Bare substrate (sand) 2. Number of cases/rows: NA 3. Variable List: NA 4. Missing data codes: As noted above, a data value of 0 indicates NoData, which either indicates 'outside mapping area' or that it was not possibel to map that pixel with confidence. 5. Specialized formats or other abbreviations used: NA DATA-SPECIFIC INFORMATION FOR: [Adelaide-seagrass-ProductB_v1.0.img] 1. Data value explanation: Data values indicate cover type as follows: 0 = NoData 1 = Reef 50 = Posidonia spp. (a seagrass genus) 100 = Amphibolis spp. (a seagrass genus) 200 = Bare substrate (sand) 2. Number of cases/rows: NA 3. Variable List: NA 4. Missing data codes: As noted above, a data value of 0 indicates NoData, which either indicates 'outside mapping area' or that it was not possibel to map that pixel with confidence. 5. Specialized formats or other abbreviations used: NA