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A COMPLETELY AUTOMATIC SPECTRAL RULE-BASED PRELIMINARY CLASSIFICATION OF CALIBRATED LANDSAT 5 TM AND LANDSAT 7 ETM+ IMAGES SCALABLE TO ASTER, AVHRR, MODIS, SPOT-4, SPOT-5, AND SPOT VEGETATION IMAGERY
ASTER AVHRR
2015/9/9
In recent years the launch of (very) high-resolution (VHR) spaceborne multi-spectral
(MS) scanners has made purely supervised remote sensing (RS) image analysis over
extended target areas no longer ...
LAND COVER CLASSIFICATION AND MONITORING IN NORTHEAST THAILAND USING LANDSAT 5 TM DATA
Land Use Remote Sensing GIS Thematic Mapper Classification Northeast Thailand
2015/8/31
The study of the land cover is one of the most important factors for planning and managing activities concerning the use of land
surface on this earth. Remote sensing techniques have improved mappin...
Semivariogram analysis of Landsat 5 TM textural data for loblolly pine forests
semivariance textural classification remote sensing loblolly pine Landsat TM
2015/2/6
The objective of this study was to evaluate the applicability of Landsat 5 TM images for analysing the textural information on pine forest stands in western Georgia, United States. Analysing spatial c...