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Performance Performance is fundamentally limited by: Size of data

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Presentation on theme: "Performance Performance is fundamentally limited by: Size of data"— Presentation transcript:

1 Performance Performance is fundamentally limited by: Size of data
Where the data is stored Type of processing Processing software Hardware available

2 Real Performance Limitations
Rasters: Size of the data and number of files Points: Number of rows, number of size of attributes Network access, especially services ArcGIS tools Mistakes in processing Hardware

3 Size of Digital Values Number of binary digits Equation
Number of possible values Minimum Value Maximum Value 1 (bit) 2^1 2 1 2^2 4 3 2^3 8 7 4 (nibble) 2^4 16 15 5 2^5 32 31 6 2^6 64 63 2^7 128 127 8 (byte) 2^8 256 255 9 2^9 512 511 10 2^10 1024 1023 12 2^12 2048 2047 2^15 32768 32767 16 (word) 2^16 65536 65535 20 2^20 24 2^24 2^31 2^32 48 2^48 2^64

4 Range of Computer Numbers
Bits Name Number of values / Precision Minimum Maximum Uses 8-bit integer Byte 256 255 RS 16-bit unsigned integer Unsigned short 65536 65535 DEMs 16-bit signed integer Signed short -32767 32767 32-bit integer Long integer ~4 billion ~ -2 billion ~2 billion Counts, Categorical 32-bit float Float 7-8 - ~ ~ Continuous 64-bit float Double 14-15 - ~ ~

5 Performance By Type Type Calculations Queries Bytes
16-bit unsigned integer Fast 2 16-bit signed integer 32-bit signed 4 32-bit float Moderate 64-bit float 8 Date Slow 7 and up Strings 1 and up

6 4 Resolutions of Remote Sensing
Spatial: X and Y resolution Spectral: Number of bands Temporal: Number of samples per time unit Radiometric: Number of bits or bytes per sample

7 Raster Structure X Dimension Band 0 10 12 15 16 Band 1 Y Dimension 14
19 27 23 Band 2 18 22 30 29 21 25 32 34 Sample Pixel: All the samples are coincident

8 Raster Resolutions Spatial Resolution: Spectral Resolution:
Width and height of each sample/pixel Spectral Resolution: Number of widths of the bands Radiometric Resolution: Number of bits per band Temporal Resolution: Number of rasters per time interval

9 Raster Resolutions Spatial: Spectral (Number of Bands): Temporal:
10 cm to 1 km Spectral (Number of Bands): 3 for photos, 7 for Landsat, for 256 MODIS Temporal: Daily for MODIS, 15 days for Landsat, every few years for SRTM Radiometric (Sample Depth): 8 bits=0 to 255 (256 shades)

10 Raster Size Size in Bytes = Width of the area * Resolution *
Height of the area * Resolution * Bytes per band * Number of bands * Number of Temporal Slices

11 Landsat TM Scene Sensor type: opto-mechanical
Spatial Resolution: 30 m (120 m - thermal) Spectral Range: µm Number of Bands: 7 Temporal Resolution: 16 days Image Size: 185 km X 172 km Swath: 185 km Programmable: yes

12 Improving Performance
It used to be storing the data was a major problem Today, the problem is getting the computer processor “close” to the data

13 Improving Performance
Resample rasters to the size desired Clip rasters to the area of interest Only use the bands required Store or “cache” rasters to the computer doing the processing Include performance evaluation as part of the modeling design


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