1 / 11

Anatomy of a Wrapper Service: TOMS Satellite Image Data

Anatomy of a Wrapper Service: TOMS Satellite Image Data. The daily TOMS images reside on the FTP archive, e.g. ftp://toms.gsfc.nasa.gov/pub/eptoms/images/aerosol/y2000/ea000820.gif URL template: ftp://toms.gsfc.nasa.gov/pub/eptoms/images/aerosol/y[yyyy]/ea[yy][mm][dd].gif.

ianna
Download Presentation

Anatomy of a Wrapper Service: TOMS Satellite Image Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Anatomy of a Wrapper Service: TOMS Satellite Image Data The daily TOMS images reside on the FTP archive, e.g. ftp://toms.gsfc.nasa.gov/pub/eptoms/images/aerosol/y2000/ea000820.gif URL template: ftp://toms.gsfc.nasa.gov/pub/eptoms/images/aerosol/y[yyyy]/ea[yy][mm][dd].gif src_lon_min src_lat_max Image Description for Data Access: src_image_width=502 src_image_height=329 src_margin_bottom=105 src_margin_left=69 src_margin_right=69 src_margin_top=46 src_lat_min=-70 src_lat_max=70 src_lon_min=-180 src_lon_max=180 src_margin_top • Given the URL template and the image description, the wrapper service can access the image for any day, any spatial subset using a HTTP URL or SOAP protocol: src_margin_left src_margin_right src_img_height Transparent colors for overlays RGB(89,140,255) RGB(41,117,41) RGB(23,23,23) RGB(0,0,0) src_img_width src_lat_min src_lon_max src_margin_bottom

  2. DataCube DataGranule DataSeries Dimension Z Dimension Y Dimension X Hierarchy of Data Objects:DataGranule, Data Series, DataCube Measure A measure (in OLAP terminology) represent numerical values for a specific entity to be analyzed (e.g. temperature, wind speed, pollutant). A collection of measures form a special dimension ‘ Measures’ (??Can Measures be Dimensions??) Data Granules A data granules– discrete, atomic data entities that cannot be further broken down. A data series is an ordered collection of data granules DataSeries is a collection of DataGranules having common attributes All data points in a measure represent the same measured parameter e.g. temperature. Hence, they share the same units and dimensionality. The data points of a measure are enclosed in a conceptual multidimensional data cube; each data point occupies a volume (slice or point) in the data cube. Data points in a measure share the same dimensions; Conversely, each data point has to have the dimensional coordinates in the data cube of the measure that it belongs to.

  3. DataCube DataGranule 3D 1D Dimension Z Data Array Dimension Y 2D Dimension X

  4. Data Space for a Measure Data Views Measure Data Space View Data Space Data Ymax Zmax Ymax Zmin Ymin Z Data Granule Xmin Xmax Zmin Zmin Ymin Y Xmin Xmax X DVoy Data Space • aergqegqet

  5. Geo-referenced Map Image: Time IndexedRegular Time Series; Fixed Georect; Image Trim Virtual Tables (No physical StarTables) XML Example: TOMS <measure code="TOMS01" name="TOMS - Aerosol Index - Glob" descr="Earth probe TOMS aerosol index"> <data_source service_url="http://capita.wustl.edu/dataservice/data.asmx"/> <data_facts> < fact_attributes > <data name ="TOMS" type="map image" descript="/> <granul_query handler_assembly= (access handler)…./> <image width=“640" height=“480“ margin_left="69" margin_top="46"/> < georect lat_ min="-65" lat_ max="65“ lon_min="-180“ lon_max="180“ unit ="DecDeg“ /> </ fact_attributes > </ data_facts> <data_dimensions> <time_dimension handler_assembly="CAPITA.data.index.impl" handler_class="CAPITA.data.index.impl.datetime_interval" start_time="1996-07-25" end_time="yesterday"> sample_periodicity _unit = "day" sample_periodicity_mult = “1" </time_dimension> </data_dimensions> </measure> ftp://jwocky.gsfc.nasa.gov/pub/eptoms/images/aerosol/y2002/ea020510.gif

  6. SQL Table Geo-referenced Map Image: Image IndexedVariable Time , Var GeoRect, Var Sensor XML Example: SeaWiFS <measure code=“SeaWiFS01" name=“SeaWiFS – Reflectance Images - Glob" descr=" SeaWiFS – Reflectance Images - Global"> <data_source service_url="http://capita.wustl.edu/dataservice/data.asmx"/> <data_facts> < fact_attributes > <data name ="SeaWiFS" type="map image" descript=“stuff stuff “/> <granul_query handler_assembly= (access handler)…./> <fact table, SQL same as CIRA > </ fact_attributes > … see table left </ data_facts> </measure> NO DIMENSION TABLES

  7. SQL Table Astronaut Photos: Image IndexedVariable Time, Image Center, Platform XML Example: ISS004 <measure code=“AstroPhoto01" name=“Astronaut Photographs " descr=" Astronaut Photographs "> <data_source service_url="http://capita.wustl.edu/dataservice/data.asmx" /> <data_facts> < fact_attributes > <data name ="SeaWiFS" type="map image" descript=“stuff stuff “/> <granul_query handler_assembly= (access handler)…./> <fact table, SQL same as CIRA > </ fact_attributes > … see table left </ data_facts> </measure>

  8. SQL Table Atmospheric Photos: Image IndexedVariable Time, Image Center, Platform XML Example: Dust Plume Photo <measure code=“AtmosPhoto01" name=“Atmospheric Photographs " descr=" Atmospheric Photographs "> <data_source service_url="http://capita.wustl.edu/dataservice/data.asmx" /> <data_facts> < fact_attributes > <data name ="SeaWiFS" type="map image" descript=“stuff stuff “/> <granul_query handler_assembly= (access handler)…./> <fact table, SQL same as CIRA > </ fact_attributes > … see table left </ data_facts> </measure>

  9. Add New Layer (New): Populate DVoyState.xml DVoy Catalog Database DatasetInfo.xml DatasetList.xml DVoyState.xml DVoyState.xml WSGetDatasetList DatasetSelector WSGetDatasetInfo On LoadCatalogPage On AddLayer Init DVoyState Add layer/dataset_abbr to DVoyState Add Layer Description to DVoyState

  10. Dvoy Catalog Interaction: Find -> Bind DVoy Catalog Database DatasetInfo.xml DatasetList.xml DVoyState.xml DVoyState.xml WSGetDatasetList DatasetSelector WSGetDatasetInfo On LoadCatalogPage On AddLayer Init DVoyState Add layer/dataset_abbr to DVoyState Add Layer Description to DVoyState

  11. Dvoy Catalog Interaction: Find -> Bind DVoy Catalog Database On AddLayer Find Bind GetDatasetList GetAccessInfo DataSelectService – performs the FIND web service operation • Queries the catalog for the list of datasets through GetDatasetList service • Passes the returned DatasetList to a controller (listbox) where the user selects a dataset • DataSelectService places selected DataCode into DVoyState.xml DataInfoService – performs the BIND web service operation • Accepts data generic data request: GetAccessInfo (DatasetCode, Dimension, Param, Location, Time, ViewConstr) • retrieves or generates access instructions for the query, places them into DVoyState.xml • DataInfoService exposes the DataSelectService exposes the selected DataCode AccessInfo DatasetList DatasetCode DataSelectService DataInfoService DVoyState.xml CursorCodes User User Selects New Data layer Browsing Environment

More Related