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Volume 42 (2003)
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Predecessor
Volume 42, Issue 6
Displaying 1-7 of 7 articles from this issue
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[in Japanese]2003 Volume 42 Issue 6 Pages 1
Published: January 05, 2004
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSDownload PDF (1963K) -
[in Japanese], [in Japanese], [in Japanese], [in Japanese], [in Japane ...2003 Volume 42 Issue 6 Pages 2-3
Published: January 05, 2004
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSDownload PDF (5404K) -
Hussam AL-BILBISI, Ryutaro TATEISHI2003 Volume 42 Issue 6 Pages 4-18
Published: January 05, 2004
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSA subset of each of the Landsat (TM) and (ETM+) images acquired in August 1987, and August 2001, respectively, were used for mapping land degradation and change detection purposes in the central parts of Jordan. The two multi-temporal images were geometrically and radiometrically calibrated to each other and used as input to an automatic change detection procedure. Color composites were generated for analyses using the TM bands -2, -3, -4 and -2, -4, -7. To map changes that had occurred between the two dates six spectral bands of both TM and ETM+ digital data (with the thermal bands being excluded) were individually used as input for supervised classification purpose. This paper describes a suite of techniques that have been used to develop an operational approach, which will ensure high accuracy and compatibly. Monitoring of the land degradation, particularly in vegetation coverage, had been done using NDVI image differencing. The histogram of difference image shows that unchanged pixels were centered around the mean, the changed pixels were located in the tail regions on either side. The difference image indicated that significant negative changes in land use/cover have occurred between 1987 and 2001.
Change detection results of central Jordan revealed that the decline of cultivated areas and cropland/grassland areas is clearly the result of accelerated expansion through the process of urbanization, which has negative effects on both agricultural lands and water basins, and is therefore strictly land degradation.View full abstractDownload PDF (5016K) -
Ryuji MATSUOKA, Kiyonari FUKUE, Kohei CHO, Mitsuo SONE, Noboru SUDO, H ...2003 Volume 42 Issue 6 Pages 19-32
Published: January 05, 2004
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSMany camera calibration methods for a non-metric digital camera have been proposed. However there is no standard procedure to evaluate an estimated distribution of image distortion directly. Calibration results are usually evaluated indirectly by such indexes as root mean square of residuals on image, three dimensional measurement errors of control points, or error estimates of obtained camera parameters. Therefore, we conducted a numerical simulation in order to examine capabilities of these indexes. In the simulation nine images were supposed to be acquired vertically to shoot control points on four layers disposed at regular intervals of the depth. Seven sets of control points were prepared, and these sets varied in the depth of the distribution of control points from 2/3 to 1/96 of the average camera height. Numerical simulation results show the limits of capabilities of these indexes. Error estimates of obtained camera parameters may be the most effective, however it is very difficult to interpret values of the error estimates obtained in a camera calibration. The authors propose that a set of numerical simulations should be conducted in a camera calibration to evaluate calibration results in addition to conventional evaluation by using the abovementioned indexes.View full abstractDownload PDF (3081K) -
Masaki YASUKAWA, Mikio TAKAGI2003 Volume 42 Issue 6 Pages 33-41
Published: January 05, 2004
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSIn this paper, a geometric correction considering the elevation for GMS S-VISSR data is described. In order to get high accuracy of the geometric correction in high elevation areas, the conventional geometric correction is improved in this paper. As a result, through the experiment using 4 scenes, the average and the maximum of errors in the proposed method are improved in comparison with the conventional method. Especially the each average of errors in the proposed method is less than or equal to 0.006 degree in the both direction of latitude and longitude, and the each maximum is 0.02 degree. Namely, it is shown that the proposed method has accuracy higher than the conventional method.View full abstractDownload PDF (6129K) -
Keigo KOIZUMI, Chikaosa TANIMOTO, Chunze PIAO2003 Volume 42 Issue 6 Pages 42-51
Published: January 05, 2004
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSWhile the bamboo stands near residential areas have become less useful due to the lack of demand, they have survived on hillsides and spread into mountains without human cares over the past several decades.
The purpose of this study is to estimate through satellite remote sensing where bamboo stands have been distributed. As bamboo stands grow quickly in spring and summer, the Landsat 5-TM data which had been observed on April 19, 1991, May 31, 1989, June 5, 1985 and August 4, 1995, were employed for their analyses. By using the decision tree classifier method, bamboo was separated from other vegetations. In consequence, we found that TM data observed on May 31, 1989 was most useful to extract the distribution of bamboo stands. And we clarified the most distinctive threshold for the bamboo classification by applying four indices (NDVI, B54, B65 and Band4) . As a result, it was found that bamboo stands with more than 5 pixels could be extracted with high accuracy in the case of Nishigyo-ku, Kyoto city.View full abstractDownload PDF (2820K) -
Gen TAKAO2003 Volume 42 Issue 6 Pages 52-66
Published: January 05, 2004
Released on J-STAGE: March 19, 2010
JOURNAL FREE ACCESSBoreal forest, which covers 15% of the Earth's land area, is subjected to disturbances such as fires and logging. Because such forest is covered by snow during the long winter, the window of opportunity for observation in summer, when the trees are fully foliated, is short. The use of snow-covered Landsat images for forest change detection was studied as alternative to the use of summer images. A time series of five Landsat images taken between 1980 (MSS) and 1999 (TM) in the Russian Far East was used. Changes were detected by comparing certain indices in successive images. The indices were RED, normalized RED (N-RED) NIR, MIR, NDVI, NDSI, Tasseled Cap Brightness, Greenness and Wetness and SAITO and YAMAZAKI's V2 and S3. Indices from summer images taken in 1995 were compared with indices from winter images. The majority of winter indices showed points of change for much longer periods after disturbance than did the summer indices, although the winter indices derived by deviation were less stable than the summer indices. Winter RED, N-RED and Wetness were particularly suitable for change detection, while summer Wetness was suitable for estimating the succession stage after disturbance. The detection accuracies were 66% to 100%.View full abstractDownload PDF (4079K)
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