Operationalization of Remote Sensing Solutions for Sustainable Forest Management
| 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 online resource (296 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
accuracy assessment
airborne laser scanning analytic hierarchy process anthropogenic Artic bark beetle bark beetle infestation beech-fir forests canopy gaps canopy openings percentage change detection damage mapping deep learning deforestation depletion DEM DJI drone earth observations efficiency Elastic Net forest canopy forest classification forest damage forest disturbance forest inventory forest management forest mask forest monitoring forest road inventory forested catchment forestry GIS global navigation satellite system gray level cooccurrence matrix (GLCM) growing stock volume harmonic regression hydrological modeling Ips typographus L. Landsat landsat time series Large Scale Mean-Shift Segmentation (LSMS) machine learning mangrove mangrove sustainability MaxENT multi-scale analysis multi-temporal regression multispectral imagery n/a national forest inventory natural water balance pest phenology modelling Phoracantha spp pixel-based supervised classification point cloud positional accuracy precision density principal component analysis (PCA) probability sampling random forest Random Forest (RF) remote sensing replanting restoration risk modeling satellite imagery satellite indices Sentinel-2 Siberia Southeast Asia spruce stand volume support vector machine SWAT model thresholding analysis time series analysis total station UAV unmanned aerial vehicle (UAV) validation vegetation index wildfires WorldView-3 Yakutia |
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Technology and Management Applied in Construction Engineering Projects
| Technology and Management Applied in Construction Engineering Projects |
| Autore | Szóstak Mariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
earned value method—EVM
time variances cost variances schedule cadastre land surveyor construction surveying building layout polar coordinates stake-out methods total station construction reports construction contracts natural language processing machine learning simulation modeling bridge expansion and contraction installation (BECI) decision making (DM) technical condition assessment analytic hierarchy process (AHP) whale optimization algorithm Tent chaotic mapping Lévy flight resilience baseline schedule uncertainty taxonomy construction project PERT theory of constraint (TOC) drum-buffer-rope (DBR) construction schedule monitoring progress construction phase automated monitoring digital tools as-built as-planned efficiency risk randomization association analysis tabu search delay time schedules project risk construction project management Time-at-Risk (TaR) investment-construction process model Monte Carlo simulation decision-making process decision modelling in construction activities decisions in civil engineering liquid cooling system flow calibration differential pressure experimental method aircraft building information modelling (BIM) automatisation facilities design domestic plumbing and sanitation management project cost investment schedule risk mitigation randomness fuzziness health and safety control |
| ISBN | 3-0365-6040-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639990603321 |
Szóstak Mariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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