15 already developed areas and water bodies act as constraints for any further
development. However, the probability of open land, barren land and uncultivated land for future built-up is very high. Similarly, the possibility of area under vegetation
to be converted into built-up as a result of sprawl cannot be ruled out.
2.3. Methodology
2.3.1. Preparation and Processing of Necessary Data
Several spatial and non-spatial data were prepared and used to defined and analyze driving forces of urban growth and landcover priority conversion using
markov chain change detection in Bandung Area during 1991 – 2007. Spatial data
consist of raster and vector data can be listed in Table 2.1 and 2.2. Meanwhile, non - spatial data requirement can be seen in Table 2.3.
Table 2.1 Raster Data
No Data
Coverage Aquitition Date
Spatial Resolution
Source of The Data
1. Landsat 5
TM PathRow :
121065 122065
July, 5
th
and 28
th
1991 Oct,15
th
and 22
th
1997 30 m
LAPAN
1
2. SPOT 5
KKKJJJ : 285364
287364 July, 17
th
2007 20 m
LAPAN
1
3. DEM
SRTM_f03_ s008e112
2000 90 m
SRTM
2
1 National Institute of Aeronautics and Space Lembaga Penerbangan dan Antariksa Nasional 2 Shuttle Radar Topographic Mission SRTM. Can be free downloaded from the internet at
ftp:ftp.glcf.umiacs.umd.eduglcflandsatWRS2 .
Table 2.2 Vector Data No
Data Type Date
Production Scale
Source of The Data 1.
Topographical Map Rupa Bumi
Indonesia 2000
1 : 25.0000
BAKOSURTANAL
1
2. Landuse Map
2000 2007 1 :
50.0000 BPN
Bandung
2
1 National Coordinator for Survey and Mapping Agency Badan Koordinasi Survei dan Pemetaan Nasional
2 National land Agency Badan Pertanahan Nasional.
16 Table 2.3 Non-Spatial Data
Data Type Date Production
Source of Data Population Data
1991 - 2008 BPS
1
Village potential statistics Potensi Desa
1991 and 2000 BPS
1
1 Central Statistics Agency Badan Pusat Statistik
Several software were used to process the necessary data consist of Microsoft Office, GIS and Remote Sensing application software. The following application
software can be seen in Table 2.4.
Table 2.4 List of Software Application No
Software Type
Function 1.
Arc GIS desktop 10 GIS Application
Processing, Analyzing,
Viewing and Manipulating Spatial Data.
2. Er-Mapper 7.1
Remote Sensing Application
Processing, Extracting
Analyzing Satellite Imagery Data.
3. Microsoft Excel
2007 Spreadsheet
Application Statistic
Tabular data
analyzing.
2.3.2. Priority of Landcover Conversion using Markov Change Detection.
