Journal of The Remote Sensing Society of Japan
Online ISSN : 1883-1184
Print ISSN : 0289-7911
ISSN-L : 0289-7911
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Volume 27, Issue 1
Displaying 1-9 of 9 articles from this issue
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Foreword
Papers
  • Estimating Percent Tree Cover Using Regression Tree Method with Very-High-Resolution QuickBird Images as Training Data
    ROKHMATULOH, Daisuke NITTO, Hussam Al BILBISI, Kota ARIHARA, Ryutaro ...
    2007 Volume 27 Issue 1 Pages 1-12
    Published: January 31, 2007
    Released on J-STAGE: December 02, 2008
    DOIhttps://doi.org/10.11440/rssj.27.1
    JOURNAL FREE ACCESS
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    The estimation of tree cover area at continental scale is becoming more important than before due to the needs to improve our understanding of carbon dynamics. The estimation of percent tree cover of a large area using MODIS data by regression tree method is a promising method. New points of this study are the use of QuickBird images for the collection of training data and the use of the Stepwise Linear Regression (SLR) for selecting the best subset of predictor variables. The estimation of percent tree cover of African continent was tried using 11 QuickBird images to get 195 cells as training data and 32-day composite MODIS 2003 data as predictor variables. The predictor variables consist of surface reflectance, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), normalized difference soil index (NDSI) and land surface temperature (LST). The result shows that NDVI and surface reflectance bands are effective to estimate percent tree cover and this method is acceptable with the prediction error of 5.17%.
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  • Monitoring of Re-generation Condition for Burnt Forested Wetland in Western Siberia with Sub-pixel Land Cover Characterization
    Wataru TAKEUCHI, Tomoko NAKANO, Shiro OCHI, Yoshifumi YASUOKA
    2007 Volume 27 Issue 1 Pages 13-23
    Published: January 31, 2007
    Released on J-STAGE: December 02, 2008
    DOIhttps://doi.org/10.11440/rssj.27.13
    JOURNAL FREE ACCESS
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    Recently, the number of forest fires in West Siberian Lowland (WSL) is increasing and they are considered as one of the main driving factors influencing carbon cycling in whole earth. Since many forest fires take place in large and hardly accessible areas, remote sensing seems to be the most appropriate tool for creating forest fire recovering history. In this paper, SPOT HRV and Landsat ETM images were used to highlight the damaged area by fire that occurred in the summer of 1998. The damaged area was extracted by using principal component analysis supplemented by ground truth data. The total burnt area was calculated to be 13.8 (km2). Then re-generation condition in burnt area from 1995 to 2002 was investigated using NOAA AVHRR data with sub-pixel land cover characterization. We demonstrate that the phenomena observed by remote sensing data is consistent with climatic data including daily precipitation and temperature. The method proposed in this study can be an effective way for forest recovering monitoring.
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  • Methodology of Cloud Height Estimation over Rugged Terrain using Landsat TM Imagery
    Yoshikazu IIKURA
    2007 Volume 27 Issue 1 Pages 24-32
    Published: January 31, 2007
    Released on J-STAGE: December 02, 2008
    DOIhttps://doi.org/10.11440/rssj.27.24
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    Horizontal distance between a cloud and its shadow appeared in a satellite image over flat terrain has been used to estimate the cloud height. This paper describes methodology of the cloud height estimation over rugged terrain using spatial correlation as an evaluation function. Because of three dimensional effects of satellite observation such as sensor scanning and solar radiation over the rugged terrain, satellite images should be accurately overlaid with digital elevation model on the map coordinate system (UTM). In order to pair a cloud pixel with a shadow pixel for calculating the spatial correlation, the shadow pixel with known terrain elevation is projected onto a flat plane, which is shown to be more efficient than to find a shadow pixel from a cloud pixel. The evaluation function is optimized with regard not only to cloud height but also solar azimuth direction in order to take displacement of cloud position caused by the sensor scanning into account. The proposed method was applied to a Landsat TM image which contains a number of small cloud with clear shape. For verifying the proposed method, the positional change in estimated solar azimuth directions was identified, which was explained by meridional aberration of the UTM coordinate system with high accuracy.
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Short Papers
  • Dust Events During Spring 2006 Based on Aerosol Photometry and SPM Measurements
    Sonoyo MUKAI, Itaru SANO, Masayoshi YASUMOTO
    2007 Volume 27 Issue 1 Pages 33-38
    Published: January 31, 2007
    Released on J-STAGE: December 02, 2008
    DOIhttps://doi.org/10.11440/rssj.27.33
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    To monitor urban atmospheric particles, we have undertaken simultaneous measurements of aerosols and suspended particulate matter (SPM) at Kinki University Campus, Higashi-Osaka, Japan, since 2004. The largest dust event recorded during our long-term observations was detected during the spring of 2006.
    We also examined the relationship between PM2.5 concentrations and aerosol properties obtained from radiometry using a multi-spectral photometer located at a NASA/AERONET station. We found a linear correlation between aerosol optical thickness and PM2.5 concentrations for both ordinary days and days with dust events.
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  • Potential of ASTER DEM for Forest Ecological Research
    Masayasu MAKI, Toshiharu KOJIMA, Tsuyoshi AKIYAMA
    2007 Volume 27 Issue 1 Pages 39-45
    Published: January 31, 2007
    Released on J-STAGE: December 02, 2008
    DOIhttps://doi.org/10.11440/rssj.27.39
    JOURNAL FREE ACCESS
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    Advance Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) on-board the National Aeronautics and Space Administration's (NASA's) Terra satellite can generate Digital Elevation Model (DEM) image per 16 days. In this study, three ASTER DEM images (L3A01) acquired before and after leaf fall were used to evaluate the potential for tree height estimation. These three images were acquired on September 17, October 3, and November 4, in 2005, respectively. The potential for tree height estimation was evaluated by comparing the difference DEM images derived from these ASTER DEM images and Laser scanner data acquired on June 25, 2005. The following results were obtained ; (a) the difference DEM Images were not able to estimate precise tree height, on the other hand, (b) it was possible to discriminate deciduous tree areas from the areas that do not change the surface height. It can be concluded that difference DEM images are not useful for estimating tree height, whereas it has the potential to discriminate deciduous tree areas from those vegetation areas with similar spectral characteristics such as highly dense grassland.
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Laboratory Introduction
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