PostGIS Raster : Extending PostgreSQL for The Support of ... - CoDE

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Figure 4.21: Rasters at different scales [11]. Figure 4.22: Same scaled rasters at different spatial resolution [11]. Figure 4.23: Raster bands. 39
The multi-band conception is resulted from the fact that, in practice, a raster image can contain multiple bands. For example, electromagnetic wave data from remote sensing devices is grouped into a certain number of channels, where the number of possible channels depends on the capacities of the sensing device. Or, multispectral images contain multiple channels and hyperspectral images contain environ 50 or more channels. Then by using raster type to model such data in a geographic information system, each channel is expressed by a band. Some rasters have a single band of data, while others have multiple bands. Basically, a band is represented by a single matrix of cell values and a raster with multiple bands contains multiple coincident matrices of cell values representing the same spatial area. An example of a single-band raster dataset is a digital elevation model (DEM). Each cell in a DEM contains only one value representing surface elevation. Most satellite imagery has multiple bands, typically containing values within a range or band of the electromagnetic spectrum. There are three main ways to display single-band raster data: • Using two colors: In a binary image, each cell has a value of 0 or 1 and is often displayed using black and white. This type of display is often used for displaying scanned maps with simple line work such as parcel maps. • Grayscale: In a grayscale image, each cell has a value from 0 to 255 or 65535. These are often used for black and white aerial photographs. • Color map: One way to represent colors on an image is using a color map. A set of values is coded to match a defined set of red, green and blue (RGB) values. Figure 4.24: Three main ways to display single-band raster [35]. With multiple bands raster, every cell location has more than one value associated with it. Each band usually represents a segment of the electromagnetic spectrum collected by a sensor. Bands can represent any portion of the electromagnetic spectrum including ranges not visible to the eye such as the infrared or ultraviolet sections. The term band originated from the reference to the color band on the electromagnetic spectrum. Figure 4.25: Multi-band raster [35]. When a map layer is created from a multi-band raster image, user can choose to display the image from a single band of data or from multiple bands. A combination of any three available bands 40
Page 1 and 2: Faculté de Sciences Appliquées Se
Page 3 and 4: Abstract Nowadays, in many applicat
Page 5 and 6: 3.2.4 Overlapping Raster and Vector
Page 7 and 8: D.5 Geology, Geophysics and Geochem
Page 9 and 10: 4.9 Raster cell [16]. . . . . . . .
Page 11 and 12: Chapter 1 Introduction 1.1 Context
Page 13 and 14: Chapter 2 Geographic Information Sy
Page 15 and 16: 2.2.3 Imagery Figure 2.3: Polygon f
Page 17 and 18: Figure 2.8: Surface expressed by co
Page 19 and 20: 4-foot logo. The file size is the s
Page 21 and 22: 2.4.2 Data Theme Figure 2.14: Multi
Page 23 and 24: measures of latitude. Longitude mea
Page 25 and 26: 2.6 GIS Applications 2.6.1 Crime Ma
Page 27 and 28: 2.6.3 Traditional Knowledge GIS Tra
Page 29 and 30: These additional functionalities ma
Page 31 and 32: Figure 3.3: Physical storage of Geo
Page 33 and 34: DROP INDEX spain_images_idx; CREATE
Page 35 and 36: In summary, the intersection is muc
Page 37 and 38: Attribute information Table 4.1: Po
Page 39 and 40: Figure 4.2: Information representat
Page 41 and 42: for discrete data while floating-po
Page 43 and 44: the matrix are parallel to the x-ax
Page 45 and 46: Lines Figure 4.15: Raster point rep
Page 47: Choosing an appropriate cell size i
Page 51 and 52: "32BUI" = 32-bit unsigned integer "
Page 53 and 54: Figure 4.30: Pyramids at different
Page 55 and 56: ectangular because there might be s
Page 57 and 58: Figure 4.39: Vector to raster conve
Page 59 and 60: Figure 4.42: Web application with o
Page 61 and 62: In this example, the dummy_rast tab
Page 63 and 64: One approach to make this intersect
Page 65 and 66: 4.19 Intersection The fact that Pos
Page 67 and 68: Figure 4.51: Raster and raster inte
Page 69 and 70: ST_Present and ST_Passes predicates
Page 71 and 72: Chapter 5 User Guide Sometimes stor
Page 73 and 74: SELECT rast As origin, ST_Resample(
Page 75 and 76: • gvSIG plugin • MapServer thro
Page 77 and 78: SELECT ST_AsJPEG(rast) As rastjpg F
Page 79 and 80: FROM buff_temp GROUP BY id ORDER BY
Page 81 and 82: Chapter 6 Application Most of GIS a
Page 83 and 84: 6.2 Tools Figure 6.3: PostGIS conne
Page 85 and 86: Figure 6.6: Band area. controlled b
Page 87 and 88: Figure 6.10: The loading map parall
Page 89 and 90: Figure 6.14: Maps representing worl
Page 91 and 92: Figure 6.17: Maps with a color lege
Page 93 and 94: their levels of awareness of geogra
Page 95 and 96: [15] Jorge Arevalo. PostGIS Raster
Page 97 and 98: Appendix A PostGIS Raster Utilisati
Page 99 and 100:
eturn "Version 0.1" def qgisMinimum
Page 101 and 102:
Appendix C Code Implementation C.1
Page 103 and 104:
name="" # Setting table name and mo
Page 105 and 106:
Figure D.1: Synthetic aperture rada
Page 107 and 108:
D.4 Digital Image Processing D.4.1
Page 109 and 110:
Figure D.4: Age of the sea floor. M
Page 111 and 112:
Appendix F Continuous Surfaces One
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