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 26, Issue 4
Displaying 1-8 of 8 articles from this issue
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  • [title in Japanese]
    [in Japanese]
    1987 Volume 26 Issue 4 Pages 1
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_1
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    1987 Volume 26 Issue 4 Pages 2-3
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_2
    JOURNAL FREE ACCESS
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  • Estimation of Vegetation Cover Rate within One Pixel Using the Vegetation Index of Satellite Images
    Shouji Takeuchi
    1987 Volume 26 Issue 4 Pages 4-12
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_4
    JOURNAL FREE ACCESS
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    An experimental study on the estimation of vegetation cover rate within one pixel using the vegetation index of satellite images was made with the simulathon of airborne MSS data and Landsat MSS data and with the test site of urbanized areas. In the airborne data simulation experiment, the correlation between the vegetation cover rate data made from the cluster analysis of the original data of 5 meters restlution and the vegetation index of the pseudo satellite image made by averaging the original image was investigated with the mesh size of 20, 30, 50, and 80 meters square, and as the result, high correlation above 0.9 was obtained with all mesh sizes from 20 to 80 meters square. In the experiment with Landsat MSS data, it was shown that the vegetation index obtained by MSS data is highly correlated to the vegetation cover rate obtained by Digital National Land Information within a mesh of one kirometer square. These experimental studies verify the possibility of direct estimation of vegetation cover rate within one pixel at urbanized areas using various satellite images such as Landsat TM and MSS, MOS-1 MESSR, and SPOT.
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  • AN ESTIMATION OF AREAL EVAPOTRANSPIRATION USING LANDSAT AND ELEVATION DATA
    Satoshi Uchida, Takashi Hoshi
    1987 Volume 26 Issue 4 Pages 13-23
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_13
    JOURNAL FREE ACCESS
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    In order to estimate areal evapotranspiration, a system which is adopted modified Penman method and utilized Landsat and elevation data is developed. After extraction of study area and its geometric correction, Landsat MSS data is consequently classified into one of land use categories, which gives empirical parameters for calculation of evapotranspiration. Elevation data, which is originally given by 7.5″×11.25″, is interpolated and fitted to each pixel of land use image data. This is used to evaluate the total shortwave radiation at each pixel. Calculation of evapotranspiration is executed by using empirical functions in terms of meteorological elements which are linearly regressed with height from data at several observatories. The calculated result would be taken the form not only statistical quantities but also transformed image data. Monthly change of estimated evapotranspiration is consistent with its rise and fall characteristics depending on climatic condition. Distribution at mountaneous area, represented as image data, reasonablly shows the effect of topographic condition. As a result, this system could reliably estimate and reproduce actual evaportranspiration of wide area as much as several hundreds square kilometers. This system also has a potential to give us a useful information for water management of river basin.
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  • Multitemporal Analysis of Texture Measures for TM Classification
    Kohei Arai
    1987 Volume 26 Issue 4 Pages 24-31
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_24
    JOURNAL FREE ACCESS
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    Multi-temporal analysis for texture features for the Thematic Mapper (TM) of Landsat-5 corresponding to ground cover classes has been conducted. The textural information content of TM data has been compared to that of MSS data. Furthermore, this information content has been enhanced by using seasonal change of the textural features for TM classification. Consequently, the effects of improvements of the spatial resolution and the quantization level on the textural features have been clarified. An example using multi-temporal TM data of Ottawa shows that a 32.9% improvement of the weighted mean percentage classification accuracy can be achieved by using multi-temporal TM spectral data compared to the uni-temporal case, and by adding the multi-tempomal texture features to the original spectral feather 1.6 to 4.7% improvements can be achieved.
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  • [title in Japanese]
    [in Japanese]
    1987 Volume 26 Issue 4 Pages 32-41
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_32
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese]
    1987 Volume 26 Issue 4 Pages 44-47
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_44
    JOURNAL FREE ACCESS
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  • [title in Japanese]
    [in Japanese]
    1987 Volume 26 Issue 4 Pages 49
    Published: October 31, 1987
    Released on J-STAGE: March 19, 2010
    DOIhttps://doi.org/10.4287/jsprs.26.4_49
    JOURNAL FREE ACCESS
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