Assessment of Topographic Normalization in Jeju Island with Landsat 7 ETM+ and ASTER GDEM Data
نویسندگان
چکیده
منابع مشابه
Comparing Aster and Landsat 7 Etm+ for Change Detection
The limited radiometric resolution and expiring life expectancy of the Landsat sensors have prompted this study to investigate the potential of using ASTER imagery in conjunction with Landsat imagery. This project developed methods to calibrate processed ASTER imagery and Landsat 7 ETM+ imagery to equivalent measurements for change detection studies. Landsat 7 ETM+ and ASTER imagery of southwes...
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Change detection techniques are widely diffused to derive basic information in the analysis of land cover transformations. Some difficulties in multi-date imagery treatment persist in remote sensing applications because of errors due to noise, to environmental conditions and to geometric and radiometric distortions introduced during the acquisition or transmission phases of satellite systems. S...
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The advantages of Remote Sensing for the knowledge of environmental dynamics are widely ascertained by scientific community. Spatial synchronization and temporal resolution of large areas have meaningfully improved quantity and quality of satellite imagery which have assumed an important role in the field of environmental monitoring. Nevertheless, preliminary processing problems of multitempora...
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Shuttle Radar Topographic Mission (SRTM) and ASTER Global Digital Elevation Model (GDEM) provide topographic data in a global scale which are freely available for users. The potential use of these datasets for many forestry applications is highly depending on the accuracy of the datasets. In this study, we evaluated the accuracy of SRTM and ASTER GDEM version 2 with high accuracy topographic da...
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The goal of this project was to improve the mapping and monitoring system of the Directorate of Forest and Parks of the Province of Chubut, Patagonia. In providing updated quantitative and qualitative knowledge of Patagonian vegetation, mainly native forests, sustainable forest resource management shall be improved. In this paper object-oriented classification using eCognition software is prese...
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ژورنال
عنوان ژورنال: Korean Journal of Remote Sensing
سال: 2012
ISSN: 1225-6161
DOI: 10.7780/kjrs.2012.28.4.4