Spatial Types: Looking Ahead to Spatial Search

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Information about Spatial Types: Looking Ahead to Spatial Search
Technology

Published on February 19, 2014

Author: HDFEOS

Source: slideshare.net

Description

It is not enough to collect the data and produce data products. In order to be useful the data has to be used. To facilitate data use eventually a search interface has to be developed, probably many. And those interfaces can only be as good as the metadata they have to work with. HDF is not so much a data format as a file format that packages the data with the metadata, so facilitating data access by providing adequate and appropriate metadata starts with data production.

In many areas this is not much of a challenge. The temporal coverage of the granules is generally well known, channel and derived parameter names are generally just a matter of convention, etc. But spatial coverage can vary quite a bit, especially for remotely sensed data, and can often be problematic. This paper goes through the five most common spatial types (point, grid, tile, scene, and swath) discusses the problems associated with each, and makes some recommendations for the metadata that needs to be included with the data to facilitate fast, efficient, accurate search when the time comes.

Spatial Types Fall, 2004 National Snow and Ice Data1 Center

Point Data Fall, 2004 National Snow and Ice Data2 Center

Sparse Point Data Fall, 2004 National Snow and Ice Data3 Center

Dense Point Data Fall, 2004 National Snow and Ice Data4 Center

Gridded Data Fall, 2004 National Snow and Ice Data5 Center

MODIS CMG - Coverage Fall, 2004 National Snow and Ice Data6 Center

SSM/I Ease-grid Fall, 2004 National Snow and Ice Data7 Center

SSM/I EASE Grid - Coverage Fall, 2004 National Snow and Ice Data8 Center

Polar Stereo (Sea Ice) Fall, 2004 National Snow and Ice Data9 Center

Polar Stereo (Sea Ice) - Coverage Fall, 2004 National Snow and Ice Data10 Center

Polar Stereo (Sea Ice) - Coverage Fall, 2004 National Snow and Ice Data11 Center

Polar Stereo (Sea Ice) - Coverage Fall, 2004 National Snow and Ice Data12 Center

Polar Stereo (Sea Ice) - Coverage Fall, 2004 National Snow and Ice Data13 Center

Polar Stereo (Sea Ice) - Coverage Fall, 2004 National Snow and Ice Data14 Center

Polar Stereo (Sea Ice) - Coverage Fall, 2004 National Snow and Ice Data15 Center

Tiles Fall, 2004 National Snow and Ice Data16 Center

05v08h Coverage Fall, 2004 National Snow and Ice Data17 Center

05v08h w/ lat/lon bounding box Fall, 2004 National Snow and Ice Data18 Center

05v08h Spherical Fall, 2004 National Snow and Ice Data19 Center

AVHRR L1b (Scene) Fall, 2004 National Snow and Ice Data20 Center

AVHRR L1b (Scene) - Coverage Fall, 2004 National Snow and Ice Data21 Center

AVHRR L1b (Scene) - Coverage Fall, 2004 National Snow and Ice Data22 Center

AVHRR L1b (Scene) - Coverage Fall, 2004 National Snow and Ice Data23 Center

AVHRR L1b (Scene) - Coverage Fall, 2004 National Snow and Ice Data24 Center

AVHRR L1b (Scene) - Coverage Fall, 2004 National Snow and Ice Data25 Center

Weird Shape Fall, 2004 National Snow and Ice Data26 Center

Full Orbit - Coverage Fall, 2004 National Snow and Ice Data27 Center

Full Orbit - LLBox Fall, 2004 National Snow and Ice Data28 Center

Full Orbit – Lat/lon Blocks Fall, 2004 National Snow and Ice Data29 Center

Full Orbit – Spherical Blocks Fall, 2004 National Snow and Ice Data30 Center

Full Orbit - Coverage Fall, 2004 National Snow and Ice Data31 Center

Full Orbit - Coverage Fall, 2004 National Snow and Ice Data32 Center

Full Orbit – Using Backtrack Fall, 2004 National Snow and Ice Data33 Center

Summary  Point Data: use points or multi-points.  Grids: Use a lat/lon bounding box if appropriate, otherwise use a spherical n-gon. Accuracy is more important than speed.  Tiled Data: A form of regional grid, use a lookup table.  Scenes: Use a spherical quadrilateral, maybe up to a spherical decagon for larger scenes. Speed is more important than accuracy.  Orbits: The best way to define the coverage of an orbit is to define the orbit. The best way to search for orbital data is to search orbits. Use Backtrack. Fall, 2004 National Snow and Ice Data34 Center

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