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Beyond Spectral and Spatial data: Exploring other domains of information: 5. GEOG3010 Remote Sensing and Image Processing Lewis RSU. Domains of Information. Spectral angular multi-temporal distance-resolved spatial. Spatial Information.
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Beyond Spectral and Spatial data:Exploring other domains of information: 5 GEOG3010 Remote Sensing and Image Processing Lewis RSU
Domains of Information • Spectral • angular • multi-temporal • distance-resolved • spatial
Spatial Information • ‘texture’ / spatial dependency / context • typically use measures of texture • size of objects • orientation • spacing and arrangement
Directional texture Spatial Information
Spatial Information Use: • calculate texture measures • use to discriminate / classify • relate to physical properties (tree spacing etc.)
Baringo, Kenya ‘Textures’ from tree density - dense to sparse
Measure texture using statistical measure of spatial dependency semivariance
Spatial Dependency Geostatistics • points at a small distance apart (A-B ; B-C; C-D) • are more likely to lie on the same object (have the same properties) • than points further apart (A-C; B-D; A-D).
Spatial Dependency Geostatistics • geostatistics - measure/model spatial dependencies using semivariogram
Spatial Dependency Geostatistics semivariance • at some ‘lag distance’ (h) (spacing between points) the semivariance is: • half of the average (mean) squared difference between the property values at the sample points.
Spatial Dependency Geostatistics - h = 1 0 1 mean
Spatial Dependency Geostatistics - h = 2 1 2 0 1 mean
Spatial Dependency Geostatistics - h = 3 1 2 3 0 1 mean
Range of spatial dependency Spatial Dependency Geostatistics - h = 14 mean
Sill nugget variance
Features of the semivariogram • Range • range of spatial dependency in data • Sill • semivariance at and beyond range (half the scene variance) • Nugget variance • extrapolated semivariance at lag 0 • variation at sub-measurement unit
Baringo, Kenya ‘Textures’ from tree density - dense to sparse
Summary • spatial • ‘texture’ information • may be directional • row spacing • spatial dependancy - geostatistics • semivariogram • range • size / spacing of objects • sill • variance at range - cover • nugget • sub-pixel variation / noise