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  • Submersed Aquatic Vegetation community multi-year data from the Sacramento - San Joaquin Delta in California
  • Khanna, Shruti; Senior Environmental Scientist; California Department of Fish and Wildlife
    Ustin, Susan L; Professor Emeritus; University of California, Davis
    Lay, Mui C; GIS programmer II; University of California, Davis
    Andrew, Margaret; Senior Lecturer; Murdoch University
    Santos, Maria J; Professor; University of Zurich
    Hestir, Erin L; Associate Professor; University of California, Merced
    Shapiro, Kristen D; GIS programmer II; University of California, Davis
    Bellvert, Joaquim; Investigator; Institute of Agrifood Research and Technology, Madrid, Spain
    Greenberg, Jonathan A; Associate Professor; University of Nevada, Reno
  • 2022-06-09
  • Khanna, S., S.L. Ustin, M.C. Lay, M. Andrew, M.J. Santos, E.L. Hestir, K.D. Shapiro, J. Bellvert, and J.A. Greenberg. 2022. Submersed Aquatic Vegetation community multi-year data from the Sacramento - San Joaquin Delta in California ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).

  • Since 2007, field data have been collected in the Sacramento - San Joaquin Delta in northern California for the purpose of training and validating invasive species maps derived from remote sensing imagery over the Delta. The field crew collected submersed aquatic vegetation (SAV) species location data. For each point they noted attributes such as species name(s), location, cover estimates, and patch size. In addition, a thatching rake tethered to a rope was thrown off the side of the boat and pulled back out of the water; Secchi depth was measured using a Secchi disk and depth to the SAV mat was estimated by the field crew. Points were collected in patches larger than 9 square meters (3 m x 3 m). Point locations were measured using high precision (sub-meter accuracy) Trimble DGPS units (Trimble Navigation Limited, Sunnyvale, California) with Wide Area Augmentation System (WAAS) differential correction. All GRD and DGPS positions were entered using a linked datalogger with TerraSync software (Trimble Navigation Limited) and exported as ArcGIS shapefiles projected to UTM Zone 10N, Datum WGS-84. The spatial and attribute data quality was checked by linking photos to data points and confirming the identify of the documented species.

  • N: 38.56      S: 37.76      E: -121.26      W: -121.81
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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