Mineralization potential and integration of airborne magnetometric geophysical data data and EO-1, ASTER ester and Landsat-7 ETM + hyperspectral satellite data (Sheet 1: 100,000 Meshkinshahr)
نویسندگان
چکیده
منابع مشابه
Investigating Alteration Zone Mapping Using EO-1 Hyperion Imagery and Airborne Geophysics Data
Hyperspectral remote sensing records reflectance or emittance data in a large sum of contiguous and narrow spectral bands, and thus has many information in detecting and mapping the mineral zones. On the other hand, the geological and geophysical data gives us some other fruitful information about the physical characteristics of soil and minerals that have been recorded from the surface. ...
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Lidar data provide accurate measurements of forest canopy structure in the vertical plane however current lidar sensors have limited coverage in the horizontal plane. Landsat data provide extensive coverage of generalized forest structural classes in the horizontal plane but are relatively insensitive to variation in forest canopy height. It would therefore be desirable to integrate lidar and L...
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The study area is located in the central Iranian tectono-magmatic zone, which is known for its world-class IOA-type Iron ore deposits. The Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) and Landsat Enhanced Thematic Mapper Plus (ETM+) image-processing techniques, were used in satellite imagery through conventional and also modern processing methods including band ratios...
متن کاملData Continuity of Earth Observing 1 ( EO - 1 ) Advanced Land Imager ( ALI ) and Landsat TM and ETM +
The National Aeronautics and Space Administration (NASA) Landsat program has been dedicated to sustaining data continuity over the 20-year period during which Landsat Thematic Mapper (TM) and Enhanced TM Plus (ETM+) sensors have been acquiring images of the earth's surface. In 2000, NASA launched the Earth Observing-1 (EO-1) Advanced Land Imager (ALI) to test new technology that could improve t...
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ژورنال
عنوان ژورنال: Journal of Remote Sensing and Gis
سال: 2019
ISSN: 2588-6185
DOI: 10.52547/gisj.11.3.113