Yafang Su
Monterey Bay Aquarium Research Institute (MBARI) has collected a large amount of oceanic data from various ocean observation platforms. The management of the oceanographic data collected from various platforms is a challenging issue. It is very difficult for scientists and engineers to use these data without a user friendly interface. In the paper, ArcView and Avenue are employed to interface the database and establish the application models. All the previous collected data can be incorporated for further analysis.
MBARI has collected extensive data sets in Monterey Bay, including physical, chemical, biological, geological data by various sensors, and numerous video tapes by ROV(Remotely Operated Vehicle), ranging from ocean surface, midwater to seafloor. Most of the data is spatially referenced. Therefore, to establish a GIS system is necessary.
The development of GIS technology has made it available to non GIS background people from different disciplines. GIS interface is oriented to fill the gap between user's knowledge and the technical knowledge required to operate a software system. In the paper, A user friendly desktop GIS interface has been developed for scientific research, which allows non-GIS background oceanographers to query and analyze the data very easily. With the highly user-friendly ArcView GIS, we are now able to develop sophisticated analysis routines that are accessible to the oceanographic scientists. The developed ArcView GIS interface provides access to previously unavailable data as well as provides analysis options for existing data that was nearly shelved due to lack of use.
The Sybase-based MODB oceanographic database represents an improvement in MBARI's oceanographic data management in late 80's. The MODB system contains all the ship expedition records, cruise data of biological, physical, chemical data, and part of the lab analysis data from sampling ocean water, video annotation data through the digitization of video tapes. However, MODB does not support spatial analysis and does not have a user friendly interface. There are many tables and the query of the data needs a chain of joins. For example, to query physical data by an expedition number needs four tables and three joins. It is very slow to query the data using SQL through DBI connection by ArcInfo and ArcView in this way. Therefore, the GIS database is redesigned(see Fig.1). The tables were generated according to the purpose and the year in order to accelerate the query speed. For best performance, the joins are minimized in the design of the tables. There are one Expedition table, one Expd_data_run table and seven types of biological, physical, chemical, video annotation, biological lab analysis, chemical lab analysis and lab_sample data.
Besides the data in MODB, MBARI employs biological and physical time series ocean measurement data with various instruments to determine the relation to climate and ocean variability( Chavez etal.). These "mooring" data and drifter data are stored in ASCII format. The spatial locations of the platforms can be determined by the GPS receiver.
MBARI receives AVHRR images of the Central California Coast, roughly from Point Reyes to Point Conception. Only those passes with clear views of one or both of the MBARI moorings positioned in Monterey Bay are processed, as we use the Sea Surface Temperature from those moorings in truthing the images.
MBARI also takes a lot of deep ocean videos by under water ROV. Some of the video frames have been captured through JPEG conversions of the raw RGB frame captures made real time aboard the ship using the Silicon Graphics system named Ariel.
Other available geographic data sets include bathymetry, contours, coastline, fault, Side-scan images (Sonar_beam) etc.
Among the five sets of menu buttons in Fig. 2, the "MODB" menu with an Expedition View and "OASIS" menu with a Mooring View are developed as two extensions in the default GUI so that users can turn them on/off easily.
There are seven menu buttons to query the Physical, Chemical, Biological measurement tables, Video-annotation table, Biological lab analysis, Chemical lab analysis and Lab_sample tables respectively. Three optional keywords are designed to query the physical data in each topic: expedition number, date range and depth range. Only one keyword is necessary to query a data subsets. Any two fields of measurements such as latitude, longitude, depth can be used to produce a two dimensional map. The query results can be displayed both in a table and a 2D map.
Many important datasets are nonuniformly sampled in oceanography; however, nonuniformly sampled data cannot be analyzed efficiently in GIS. Therefore, the sampled data needs to be uniformly interpolated in two dimensions. More than 10 interpolation methods provided by ArcInfo have been studied to interpolate oceanic measurement data. The accuracies of the different interpolation are compared and the most appropriate methods are selected for cruise data and CTD data interpolation respectively. The appropriate parameters for interpolation as default values are given in the message box for reference.
Contour button is designed to contour the grid data such as bathymetry, temperature, salinity etc. Both Interpolation and Contour buttons are realized by RPC connection to functions in ArcInfo because we do not have the Spatial Analysts at present.
Buffer button is designed to determine the buffer zone of sampling site point or ship track lines, coastlines etc.
Merge button is used to merge two or more themes into one shape file. Two or more expeditions can be merged as one theme for further analysis.
The positions of ship cruise, mooring and drifter are recorded by GPS receivers as points in each platform according to a certain time interval. Point2line button is developed to generate line from a point shape file. It is applied to produce a track line from ship navigation, mooring and drifter platform. Shp2gen button is used to generate a delimited ASCII file from the shape file(point, line and polygon). Shppoint2gen button is used to generate a delimited ASCII file from the point shape file because most of MBARI's data is point data from GPS receiver. The delimited ASCII file can be used to do more sophisticated analysis in ArcInfo.
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