Land Use Change Analysis Using Regional Numerical Land Information
Mitsunori Yoshimura
Remote Sensing Technology Center of Japan
Sumio Muraoka and Koji Imabayashi
Ohba Co. LTD
Commission IV, Working Group 1
KEY WORDS: Geomatics/GIS, Land Use, Change Detection
ABSTRACT:
The regional numerical land information has constructed in Japanese three largest urbanized areas, Tokyo, Nagoya and Osaka
and their suburbs. Its information is more effective for detail and microscopic investigation than the use of national land
information. In this study, in order to discuss the potential of its land information, land use trends and change analyses were
performed. The land use ratio, mixture and continuity with unit of 1 km mesh area was used for both analyses. As the results,
land use ratio was proved to be used effectively for the regional land use trend investigation. The land use mixture and
continuity were useful for detail land use change consideration. Furthermore land developing pattern and its transition could
estimate by multi-temporal analysis.
1.Introduction
1.1 Regional Numerical Land Information
Both national and regional numerical land informations
are known to be published and used as the common land
use data base in Japan.
The national numerical land information has constructed
as nationwide information data base and can be used
effectively for the macroscopic land use, change
investigation.
On the other hand, the regional numerical land
information has constructed in Japanese three largest
urbanized areas, Tokyo, Nagoya and Osaka and their
suburbs. Its information is more effective for detailed and
microscopic investigation than the use of national land
information.
In this study, in order to discuss application fields using
regional land information, the authors conducted the
experimental study of investigations for data
characteristics, regional land use trend and detailed land
use change.
1.2 Test Site and Used Data
The test area of this study is west part of metropolitan
Tokyo with 28kmX21km area. The used regional
numerical land information consists of four temporal land
use data with 10m mesh size.
This information was generated based on '74 housing
investigation as the first period, "79 as the second, '84 as
the third and '89 as the fourth respectively.
Further following four sub-test sites with 2kmX2km area
were selected in order to execute our experimental study
more detail.
1) Area-A (existing urban area)
2) Area-B (Housing development in agricultural area)
3) Area-C (Development area by Governmental
authorities)
4) Area-D (Development area by private companies)
2.Characteristics of Regional Numerical Land
Information
2.4 How to generate Regional Land
Information ?
Basically this regional numerical land use information
generates or updates using base map(1/10,000), aerial
photograph, resident map, change detection map
(1/10,000). :
Processing procedure is as follows:
a) change detection by aerial photograph interpretation
b) vectorization changed area
c) coding land use number
d) vector-raster conversion
2.2 Verification/Comparison
It is necessary to understand quality and characteristics of
used land use data for discussing application fields.
Every city, town and village have established own land use
information by urban planning related projects.
In order to verify used data, comparing of some land use
data analysis results and existing statistical materials was
carried out.
Following two existing statistical materials used:
1) Land use Tama city (1987)
Area measurement based on 1/2500 land use map
2) Land use Tokyo (1987)
Area Measurement from 1/2500 Land Use Map
2.3 Data Error and Noise
Most of data error and noise are estimated to be caused on
either a) change detection or d)vector-raster conversion.
As the comparison results, following error or noise were
identified:
1) Noises at boundary of huge or line shape changed area.
2) Misunderstanding about land use item
3) Noises at connected area of maps
4) Error depend on the generated date
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996