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This book brings together a total of six papers in an interdisciplinary way at the border of natural disasters and cultural heritage. There is a need for studying and documenting cultural heritage in Arctic landscapes, as these are the most affected by climate change. Remote sensing represents a powerful tool in the monitoring, management and safeguarding of cultural heritage. Sites included in the UNESCO World Heritage List should receive more attention from both geoscientists and social scientists. Urbanization has a short- and long-lasting effect on the conservation of cultural heritage.
cultural heritage --- frequency ratio --- AUC --- predictive modelling --- GIS --- Kvamme’s Gain --- north-eastern Romania --- coastal erosion --- shoreline --- monitoring --- geomorphological mapping --- Svalbard --- DSAS --- high Arctic --- muqarnas --- Alhambra --- graphic analysis --- drawings --- 3D laser scanner --- historical images --- UNESCO --- Spain --- erosion --- Beothuk --- GRASS --- photogrammetry --- UAV --- Newfoundland --- remote sensing --- Earth observation --- satellite imagery --- multi-temporal analysis --- urban heat island --- persistent scatterer interferometry --- long-term monitoring --- cultural heritage assessment --- Alba Iulia (Apulum) --- LiDAR --- satellite image --- aerial image --- High North
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In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.
Toroud–Chahshirin Magmatic Belt (TCMB) --- remote sensing --- ASTER --- hydrothermally altered zones --- polymetallic vein-type mineralization --- emissivity --- emissivity normalization method --- dolomite --- phosphorite --- relative band depth (RBD) --- Bowers Terrane --- listvenite --- hydrothermal/metasomatic alteration minerals --- damage zones --- Northern Victoria Land --- Antarctica --- multispectral and radar data --- data fusion --- gold mineralization --- Wadi Beitan–Wadi Rahaba --- structural control --- Najd Fault System --- South Eastern Desert --- Egypt --- hyperspectral --- Goldstrike --- Carlin-type --- decarbonatization --- argillization --- Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) --- Sentinel 2 --- Synthetic Aperture Radar (SAR) data --- Egyptian Eastern Desert --- transpression and transtension zones --- Landsat-8 --- WorldView-3 --- the Inglefield Mobile Belt (IMB) --- copper-gold mineralization --- High Arctic regions --- epithermal gold --- hydrothermal alteration --- Ahar-Arasbaran region --- Landsat-7 ETM+ --- Bayesian Network Classifiers --- hyperspectral imaging --- drill-core --- SWIR --- mineral abundance mapping --- mineral association --- machine learning --- band ratios --- principal component analysis (PCA) --- fuzzy logic modeling --- Kashmar–Kerman tectonic zone (KKTZ) --- carbonate-hosted Pb-Zn mineralization --- Iran --- dimensionality reduction --- principal component analysis --- independent component analysis --- minimum noise fraction --- fuzzy logic --- riverbed --- metals --- electrical resistivity imaging --- tailings --- Mar Menor --- Cartagena–La Unión --- unmanned aerial systems --- multispectral --- magnetic --- geologic mapping --- drones --- UAV --- dust dispersion --- spectra --- canopy scale --- pixel scale --- mining area --- mineral exploration --- multispectral and hyperspectral data --- mining
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