745 
sensing for 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
itat use by 
xedwood 
849-857. 
chubert 1980. 
evels in 
118. In 
.). The 
water 
, New York. 
LANDSAT 
nal of 
Environmental assessment for large scale civil engineering projects 
with data of DTM and remote sensing 
Taichi Oshima & Atsushi Rikimaru 
Hosei University, Faculty of Engineering, Tokyo, Japan 
Youichi Kato & Masaharu Nakamura 
Pasco Corporation, Tokyo, Japan 
The LANDSAT 
emote 
ion, Canadian 
atic Sciences 
:y 1978. A 
iff report. 
.1, D.A. Wilson 
resource data 
r Service, 
ABSTRACT This study describes in Pre-surveying in what way the authors manege and analyze the numerical data 
of topography or DTM data and remote sensing data for project management of water resource development in the 
mountain district. 
At first,the conditions such as topography,geology,vegetation and water resources of the projected area are 
analyzed together with DTM data and remote sensing data. Secondly,using the first step data,the estimation 
mapping for grade of weatherd granite and degree of landslide danger are analyzed by 'Maximum-likelihood 
method' and 'Similarity analysis'. Furthermore,the site proposed for re-development around the dam reservoir 
are selected and listed with the classified grade. 
lekas, and 
1.SPECIFICATION 
OF RESEARCH 
>ed data to map 
.on in the 
(l)Using data 
Airborn MSS(M 2 S)data 
American 
Observed date 1983.3.19 
iporation 
Flight altitude 2,000m 
LANDSAT MSS data 
ired data. 
Observed date 1980.10.30 
)36. 
Path-121 Row-37 
;) 1977. The 
Digital terrain data 
erosion of the 
Data intervals 25m X 25m 
>idity of 
Data origin 1:10,000 scale map 
of Treasury, 
Data input Digital dramscanner 
3. 
Aero photo Black & White 
il. 
Scale 1:12,500 Taken in 1974 
Ln Ontario by 
Aero photo Color 
jp production. 
Scale 1:10,000 Taken in 1981 
Dn Remote 
(2)Methodology 
Heat condition index 
:s (Ontario 
Cluster analysis 
Maximum likelihood method 
application of 
Similarity analysis 
Vegitation index 
Lronmental 
DTM analysis 
<shop on New 
Principal component analysis 
it: The 
(3)Test site 
The basins of the Kaze and Jobaru 
io. 
rivers.Those areas are located in 
1985. Airborne 
Kyushu Island in Japan. 
lake in the 
(4)Structure of 
Research 
Bulletin. 
This reserch consists of 4 units. 
t project 
a. Basic data obtained 
b. Basic analysis 
Environmental 
c. Application analysis 
Report No. 8526! 
d. Assessment 
LANDSAT data 
The block diagram of general flow 
he basin - wide 
is shown in fig.l . 
tin. 21:931-940 
Standards for 
ty in index 
2.BASIC DATA OBTENTION AND ANALYSIS 
03-ESM. 
2.1 Airborne MSS data 
( 1) Data acquisition Airborne MSS'data was acquired 
on March 19,1983 and flight altitude was 2,000m , 
therefore ground resolution is about 5m at nadir 
point. This MSS is BENu.CX Co. production , and it has ri 
bands, which are from blue-band to near infrared-band 
and also thermal infrared-band. MSS data was recorded 
by HDDT onboart with digital data. 
(2) Radiometric correction Radiometric data 
correction is necessary to eliminate image distortion 
caused by the temporal variation of solar radiadion 
and the spatial variation of path radiance effect 
and the viewing angle effect of the scanner. This 
correction system refers to black body data,skylight 
data,standerd reference lamp data of the inside of 
the scanner and also ground-truth gray target 
spectral data.On the other hand, the thermal infra 
red ban, and temperature calibration is also necessary, 
because of atmospheric absorption of thermal radia 
tion energy. This correction system refers to both 
high and low temperature black bodies,and also 
ground truth measurement data,which was mesured by 
a thermal infrared radiation thermometer at the 
same time of MSS operation. 
(3) Gecmetric Correction and Digital Mosaic 
Geometric data correction is the basic process for 
spatial superposition of multi-stage image (Airborne 
MSS and LANDSAT MSS) and mapping of image onto the 
DTM data. The schematic description of the correction 
process, three courses of airborne MSS data were 
connected to one image with digital mosaic analysis. 
(4) Thermal majority analysis image Using the 
majority process of the 3 X 3pixel filter, and 
normalization the small fluctuation. 
(5) Heat Condition Index Specific heat, heat 
capacity,and heat conduction, these parameters show 
the heat condition of the meterials. And these 
factors are deeply related to thermal image distri 
bution, especially characteristics of thermal 
continuity of plane space.Then heat condition process 
was done with the thermal stability model,which uses 
the standard deviation value of the 3X3 space 
filter. 
(6) Vegetation Index Analysis Using the spectral 
characteristics of chlorophyl-a, the image was 
processed as near-infrared band/red band. 
2.2 LANDSAT DATA 
(1) Pre-processing Geometric correction was 
operated using several pairs of ground control data 
and resampling software system. The pixel size of 
result image is 25m X 25m . This size is just 
compatible to overlay on DTM data. 
(2) Vegetation Index Analysis The process and idea 
are the same as airborne MSS data. The effective 
bands of LANDSAT are near-IR band 7 / red band 5. 
(3) Lineament Analysis The processing method is 
3X3 digital filter operation. And extracted 
lineament information is useful for application in 
topography,geomorphology and geology.