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Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
This data set provides locations and values of water quality parameters from a survey conducted on August 26, 2016 using an Autonomous Underwater Vehicle (AUV) in Patchogue Bay, NY. During the August 26 survey, 16,487 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle.
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Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 24, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 24, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data set provides locations and values of water quality parametersters from a survey conducted on August 23, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 23 survey, 13,910 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data set provides locations and values of water quality parametersters from a survey conducted on August 23, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 23 survey, 13,910 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an interpolated raster surface of dissolved oxygen values across a region covered by an August 25, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an interpolated raster surface of dissolved oxygen values across a region covered by an August 26, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. During the August 26 survey, 10,577 data points were collected in Patchogue Bay. A subset of 2644 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an interpolated raster surface of dissolved oxygen values across a region covered by an August 23, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set. This interpolator was chosen due to the non normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. During the August 23 survey, 13,910 data points were collected. A subset of 3477 (25%) random points were removed prior to interpolation. The interpolated raster values were compared with the subset to diagnose the accuracy of interplotion. 3076 out of 3477 (88.45) of the points were within 97.5% of the raster value.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data set provides locations and values of water quality parameters from a survey conducted on August 26, 2016 using an Autonomous Underwater Vehicle (AUV) in Patchogue Bay, NY. During the August 26 survey, 16,487 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data set provides locations and values of water quality parameters from a survey conducted on August 25, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 25 survey, 12,275 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data set provides locations and values of water quality parameters from a survey conducted on August 25, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 25 survey, 12,275 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle.