Journal of the Japan society of photogrammetry and remote sensing
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
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Volume 46, Issue 5
Displaying 1-7 of 7 articles from this issue
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  • [title in Japanese]
    [in Japanese]
    2007 Volume 46 Issue 5 Pages 1
    Published: November 02, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.5_1
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese], [in Japanese], [in Japanese], [in Japanese], [in Japane ...
    2007 Volume 46 Issue 5 Pages 2-3
    Published: November 02, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.5_2
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    2007 Volume 46 Issue 5 Pages 4-42
    Published: November 02, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.5_4
    JOURNAL FREE ACCESS
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  • Vegetation mapping using airborne hyperspectral sensor data measured in early summer
    Hiroshi P. SATO, Mamoru KOARAI, Satoshi MIYASAKA, Hajime MAKITA, Hiros ...
    2007 Volume 46 Issue 5 Pages 43-55
    Published: November 02, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.5_43
    JOURNAL FREE ACCESS
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    The authors previously made a vegetation map that included beech, walnut, dwarf bamboo and altherbosa, using airborne hyperspectral sensor (HSS) data acquired in early autumn in the Shirakami Mountains of Japan. From the spectral response pattern, high and low radiances were identified for beech and for walnut, so we created four classifications for these: high-radiance beech, high-radiance walnut, low-radiance beech, and low-radiance walnut. However, field observations found no visual difference (e.g., tree age) between the high-radiance and lowradiance areas for each of these vegetations. The difference in radiance may depend on differences in the photosynthetic capacity of foliage immediately before the foliage changes in color in autumn. In the present study, we made a vegetation map for the same area using airborne HSS data from early summer. From the map, differences in radiance were not found in beech vegetation and walnut vegetation. The producer's classification accuracy of walnut increased slightly to 78.5% in early summer, from 76.5% in early autumn, and the producer's classification accuracy of beech increased to 96.9% in early summer, from 80.0% in early autumn. In addition to the improvement of classification accuracy, the shade area in the tree crowns is smaller in summer than in autumn, and it is easier to extract training pixels from airborne HSS data of tree crowns in early summer than in early autumn. Judging from these facts, it was found that airborne vegetation classification maps drawn from HSS data are more accurate when the data are acquired in summer than when the data are acquired in early autumn.
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  • Possibilities of landuse/landcover classification using ALOS AVNIR-2 in Takayama
    Din Ara WAHID, Tsuyoshi AKIYAMA
    2007 Volume 46 Issue 5 Pages 56-67
    Published: November 02, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.5_56
    JOURNAL FREE ACCESS
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    Landuse/landcover (LULC) classification map of Daihachiga river basin area in Takayama is an important objective of the satellite ecology team for linking remote sensing, ecology and meteorology for regional ecosystem study of 21st Century COE (center of excellence) program. Our efforts were given on LULC classification map using different mid resolution data and assess the potentiality to get the target classification map in Takayama which belongs to a complex ecosystem in a rigid landf orm. In the process of that we examined the possibility of landcover classification improvement by ALOS AVNIR-2 with compared to the widely used Landsat ETM+, ASTER VNIR and the merged images. We found ALOS AVNIR-2 to give satisfactory numbers of landcover classes in Takayama. It is promising in remote sensing researches as the spectral seperability of ALOS AVNIR-2 with l0m spatial resolution can play a vital role in monitoring regional environment. Improved evaluation of landcover attributes by ALOS data combined with other ground research information can provide helpful input in various environmental monitoring processes.
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  • [title in Japanese]
    2007 Volume 46 Issue 5 Pages 68-81
    Published: November 02, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.5_68
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese]
    2007 Volume 46 Issue 5 Pages 82-83
    Published: November 02, 2007
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.46.5_82
    JOURNAL FREE ACCESS
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