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A fairly cloud-free night-time image of Japan, obtained by
DMSP/OLS on 11 November 1994 (Figure 1), was
provided by the National Geophysical Data Center of
NOAA (in Boulder, Colorado, U.S.A.) to the author for this
analysis. The Hokkaidoisland, in the northern part of Japan,
was selected as the case study area, for (a) this region has
relatively lower population density than other parts of Japan,
and (b) most of the pixels covering the case study area are
supposed to be free from saturation caused by extremely
bright city lights, which is often the case with pixels
covering major Japanese cities (e.g. Tokyo or Osaka).
DEVELOPMENT OF REGRESSION MODEL
The satellite imagery in digital format was re-sampled to the
thirdorder standard mesh system of the Japanese
govemment (approximately 1 km by 1 km in size.) The
population data of the Hokkaido island in the same mesh
system (Figure 2), after the National Census conducted in
1992, were obtained from the Japanese Government.
The coefficient of correlation between the digital number of
the DMSP/OLS imagery and the logarithm of the
population (POP-L) was 0.531 for non-saturated 20974
pixels. Many "bright" pixels were found, within the
DMSP/OLS imagery, in areas where few residences
actually live in.
Such bright pixels were mostl y observed in the coastal zone,
both on land and sea. It turned out, as Croft suggestedin his
initial paper on the potential use of nighttime DMSP/OLS
data for observation of city lights (Croft, 1978), that these
pixels were due to presence of fishing boats, mostly
squid-fishing vessels. Such boats, weighting between 60
and 100 tons, are especially equipped with as many as 50
incandescent lamps with an average power of 3,500 watts
per lamp (Croft, 1978), in order to attract squids in the dark.
Half of the bulbs have no shades, while the other half have
only small shades. Itis the way of fishing squids commonly
practiced in the Japan Sea as well as the coastal zone of the
Hokkaido island. Very bright lights are in fact observed in
the midde of the Japan Sea, where no island exists. On
coastal zones, some of the light emissions from these
squid-fishing vessels could be mistakenly recognized as city
lights.
On the other hand, some of the populated areasin the inland
Zones failedto be seen as bright pixels. It was assumed that
the emission of city lights, as seen from the space, may
depend on the way of life in a given area. For example,
urban areas may have more light emissions than in rural
zones due to such sources as streetlights andilluminations
for advertisement.
APPLICATION OF VEGETATION INDEX AND
TOPOGRAPHY
In the subsequent stage of the analysis, a couple of
additional data sets, namely normalized vegetation index
(NV) and topography (DTM), were obtained to find out if
these data sets could improve the accuracy in estimating
population. The NVI data for the Hokkaido area in mid
1992 were obtained out of the DAAC's 1 km NVI project
ftp site, and the DTM data in the third-order standard mesh
system were obtained from the Japanese government. The
former was resampled to the latter.
The correlation between POP-L and NVI was -0.272, while
the same between POP-L and DTM was -0.229. These
numbers suggest that the digital number of the DMSP/OLS
imagery much significantly represents the amount of
population in a given area than NVI or DTM.
A multiple regression model for POP-L with the digital
number of the DMSP/OLS imagery, NVI and DTM has the
R value of 0.577, which is only slightly better than the
same in the simple regression model with the digital
number of the DMSP/OLS imagery alone (R =0.531). The
results suggest that neither NVI nor DTM does not
significantly contribute to improve the accuracy in
estimating the population with the DMSP/OLS imagery.
Figure 2: Population Distribution in 1 km by 1
km Mesh (Grid) Database
ESTIMATING POPULATION IN GRID
SQUARE
Analysis was also made for population in square grids of 10
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 457