Archaeological Remote Sensing in the 21st Century: (Re)Defining Practice and Theory |
Autore | Verhoeven Geert |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (218 p.) |
Soggetto topico |
Biography & True Stories
Archaeology |
Soggetto non controllato |
relief mapping
visualization blend modes digital elevation model airborne laser scanning lidar archaeological prospection deep learning citizen science The Netherlands archaeology arid environments satellite remote sensing lithological mapping lithic procurement chert sourcing Landsat 8 GIS ALS amplitude radiometric calibration reflectance Sicily transfer learning historic mining heritage management LiDAR hyperspectral data submerged areas cultural heritage monitoring anomaly detection MNF radiative transfer model Martin Heidegger technology mimesis remote sensing archaeology cultural context archaeological remote sensing satellite mission design satellite archaeology archaeological survey cropmarks empirical knowledge alluvial sediments geomorphological/pedological background soil spatial infrastructure statistical methods |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Archaeological Remote Sensing in the 21st Century |
Record Nr. | UNINA-9910674394303321 |
Verhoeven Geert
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Earth Observation, Remote Sensing and Geoscientific Ground Investigations for Archaeological and Heritage Research |
Autore | Tapete Deodato |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (304 p.) |
Soggetto non controllato |
settlements
historical landscapes floods landscape archaeology education archaeological fieldwork Burial Mound geoglyph Pista OBIA satellite imagery multi-criteria airborne LiDAR international law Survey of India mapping Landscape Africa heritage Belize relict boundaries capacity development synthetic aperture radar disaster and conservation management Motte-and-Bailey castle neutron techniques Cuenca Pisco grain-size geological mapping Peru Visualization drones volcaniclastic layer UAV Harra stratigraphy Archaeology e-learning field reconnaissance neutron diffraction archaeological prospection Jordan Mesoamerica predictive model Ridge and Furrow Mega El Niño Earth Observation archaeological landscapes colonial studies river morphology pampa of Nazca optical Boundary Demarcation space law orthophotographs Oman GoogleEarth archaeometry Cameroon-Nigeria Mixed Commission national archaeological mapping programme Maya Sacred subsurface imaging basalt desert Indus archaeological survey Sentinel-2 surface survey Ritual remote sensing microwave penetration Difference Map drone tumuli GIS international boundaries Lidar Caves Archaeological Survey of India chemometric analysis UNESCO Rio Grande de Nazca SAR photogrammetry Earth observation arid environments Sumerian pottery cultural and natural heritage free satellite imagery field monument RPAS archaeology historical maps satellite petrography automated detection pattern recognition Arran LiDAR airborne laser scanning landscape accessibility Geographic Information System (GIS) Bing Maps analytic hierarchy process (AHP) Roman archaeology Saharan Morocco |
ISBN | 3-03921-194-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346843203321 |
Tapete Deodato
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Imaging and Applications |
Autore | Chang Chein-I |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (632 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
biodiversity
peatland vegetation type classification hyperspectral in situ measurements hyperspectral image (HSI) multiscale union regions adaptive sparse representation (MURASR) multiscale spatial information imaging spectroscopy airborne laser scanning minimum noise fraction class imbalance Africa agroforestry tree species hyperspectral unmixing endmember extraction band selection spectral variability prototype space ensemble learning rotation forest semi-supervised local discriminant analysis optical spectral region thermal infrared spectral region mineral mapping data integration HyMap AHS raw material remote sensing nonnegative matrix factorization data-guided constraints sparseness evenness hashing ensemble hierarchical feature hyperspectral classification band expansion process (BEP) constrained energy minimization (CEM) correlation band expansion process (CBEP) iterative CEM (ICEM) nonlinear band expansion (NBE) Otsu’s method sparse unmixing local abundance nuclear norm hyperspectral detection target detection sprout detection constrained energy minimization iterative algorithm adaptive window hyperspectral imagery recursive anomaly detection local summation RX detector (LS-RXD) sliding window band selection (BS) band subset selection (BSS) hyperspectral image classification linearly constrained minimum variance (LCMV) successive LCMV-BSS (SC LCMV-BSS) sequential LCMV-BSS (SQ LCMV-BSS) vicarious calibration reflectance-based method irradiance-based method Dunhuang site 90° yaw imaging terrestrial hyperspectral imaging vineyard water stress machine learning tree-based ensemble progressive sample processing (PSP) real-time processing image fusion hyperspectral image panchromatic image structure tensor image enhancement weighted fusion spectral mixture analysis fire severity AVIRIS deep belief networks deep learning texture feature enhancement band grouping hyperspectral compression lossy compression on-board compression orthogonal projections Gram–Schmidt orthogonalization parallel processing anomaly detection sparse coding KSVD hyperspectral images (HSIs) SVM composite kernel algebraic multigrid methods hyperspectral pansharpening panchromatic intrinsic image decomposition weighted least squares filter spectral-spatial classification label propagation superpixel semi-supervised learning rolling guidance filtering (RGF) graph deep pipelined background statistics high-level synthesis data fusion data unmixing hyperspectral imaging |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910585941603321 |
Chang Chein-I
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Land Use and Land Cover Mapping in a Changing World |
Autore | Pulighe Giuseppe |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (270 p.) |
Soggetto topico | Environmental monitoring |
Soggetto non controllato |
savannah
multifunctionality protected areas conservation airborne laser scanning aboveground woody biomass CORINE land cover mapping of changes GIS tools land cover flows Low Tatras National Park land use and land cover ecosystem service value Google Earth Engine (GEE) forest fragmentation transboundary landscape Himalaya land-cover change MSPA cluster analysis land use management synthesis of land use/land cover definitions meta-analysis studies in land use/land cover challenges and knowledge gaps in land use/land cover assessments literature review land use change modeling scenario deforestation DINAMICA EGO PFBC landscapes Democratic Republic of the Congo tree diversity ecosystem resilience native tree urban environment urbanization land cover land use change mapping land use pressures energy production forestry caatinga domain digital classification remote sensing land consumption land re-naturalization developed land recycling urban land use efficiency interoperability standards geospatial semantic ontology harmonization classification urban growth land cover change driving forces |
ISBN | 3-0365-6107-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639999603321 |
Pulighe Giuseppe
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Operationalization of Remote Sensing Solutions for Sustainable Forest Management |
Autore | Mozgeris Gintautas |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (296 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
forest road inventory
total station global navigation satellite system point cloud precision density positional accuracy efficiency mangrove sustainability deforestation depletion anthropogenic natural water balance Southeast Asia Phoracantha spp unmanned aerial vehicle (UAV) multispectral imagery vegetation index thresholding analysis Large Scale Mean-Shift Segmentation (LSMS) Random Forest (RF) forest mask validation probability sampling remote sensing earth observations forestry accuracy assessment forest classification forested catchment hydrological modeling SWAT model DEM airborne laser scanning deep learning Landsat national forest inventory stand volume bark beetle Ips typographus L. pest change detection forest damage spruce Sentinel-2 damage mapping multi-temporal regression mangrove replanting restoration analytic hierarchy process UAV DJI drone machine learning forest canopy canopy gaps canopy openings percentage satellite indices Elastic Net beech-fir forests pixel-based supervised classification random forest support vector machine gray level cooccurrence matrix (GLCM) principal component analysis (PCA) WorldView-3 wildfires MaxENT risk modeling GIS multi-scale analysis Yakutia Artic Siberia phenology modelling forest disturbance forest monitoring bark beetle infestation forest management time series analysis satellite imagery landsat time series growing stock volume forest inventory harmonic regression |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557584103321 |
Mozgeris Gintautas
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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