spatial types: looking ahead to spatial search

Post on 24-May-2015

99 Views

Category:

Technology

0 Downloads

Preview:

Click to see full reader

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.

TRANSCRIPT

Fall, 2004 National Snow and Ice Data Center 1

Spatial Types

Fall, 2004 National Snow and Ice Data Center 2

Point Data

Fall, 2004 National Snow and Ice Data Center 3

Sparse Point Data

Fall, 2004 National Snow and Ice Data Center 4

Dense Point Data

Fall, 2004 National Snow and Ice Data Center 5

Gridded Data

Fall, 2004 National Snow and Ice Data Center 6

MODIS CMG - Coverage

Fall, 2004 National Snow and Ice Data Center 7

SSM/I Ease-grid

Fall, 2004 National Snow and Ice Data Center 8

SSM/I EASE Grid - Coverage

Fall, 2004 National Snow and Ice Data Center 9

Polar Stereo (Sea Ice)

Fall, 2004 National Snow and Ice Data Center 10

Polar Stereo (Sea Ice) - Coverage

Fall, 2004 National Snow and Ice Data Center 11

Polar Stereo (Sea Ice) - Coverage

Fall, 2004 National Snow and Ice Data Center 12

Polar Stereo (Sea Ice) - Coverage

Fall, 2004 National Snow and Ice Data Center 13

Polar Stereo (Sea Ice) - Coverage

Fall, 2004 National Snow and Ice Data Center 14

Polar Stereo (Sea Ice) - Coverage

Fall, 2004 National Snow and Ice Data Center 15

Polar Stereo (Sea Ice) - Coverage

Fall, 2004 National Snow and Ice Data Center 16

Tiles

Fall, 2004 National Snow and Ice Data Center 17

05v08h Coverage

Fall, 2004 National Snow and Ice Data Center 18

05v08h w/ lat/lon bounding box

Fall, 2004 National Snow and Ice Data Center 19

05v08h Spherical

Fall, 2004 National Snow and Ice Data Center 20

AVHRR L1b (Scene)

Fall, 2004 National Snow and Ice Data Center 21

AVHRR L1b (Scene) - Coverage

Fall, 2004 National Snow and Ice Data Center 22

AVHRR L1b (Scene) - Coverage

Fall, 2004 National Snow and Ice Data Center 23

AVHRR L1b (Scene) - Coverage

Fall, 2004 National Snow and Ice Data Center 24

AVHRR L1b (Scene) - Coverage

Fall, 2004 National Snow and Ice Data Center 25

AVHRR L1b (Scene) - Coverage

Fall, 2004 National Snow and Ice Data Center 26

Weird Shape

Fall, 2004 National Snow and Ice Data Center 27

Full Orbit - Coverage

Fall, 2004 National Snow and Ice Data Center 28

Full Orbit - LLBox

Fall, 2004 National Snow and Ice Data Center 29

Full Orbit – Lat/lon Blocks

Fall, 2004 National Snow and Ice Data Center 30

Full Orbit – Spherical Blocks

Fall, 2004 National Snow and Ice Data Center 31

Full Orbit - Coverage

Fall, 2004 National Snow and Ice Data Center 32

Full Orbit - Coverage

Fall, 2004 National Snow and Ice Data Center 33

Full Orbit – Using Backtrack

Fall, 2004 National Snow and Ice Data Center 34

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.

top related