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Geoinformatics in Citizen Science / Gloria Bordogna
| Geoinformatics in Citizen Science / Gloria Bordogna |
| Autore | Bordogna Gloria |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
education
geoinformatics GIS education classification accuracy latent class analysis location-based social networks (LBSNs) geoinformation in citizen science toponym recruitment community mapping user preference land administration systems positional accuracy sample size spatial proximity crowdsourced geoinformation collection and analysis air quality estimation digital cartography crowdsourcing VGI in citizen science crowdsourced data collection social relationship effect analysis GIS data quality opportunistic data volunteer volunteered geographic information (VGI) VGI data fusion algorithms OpenStreetMap volunteer geographic information citizen science ensemble spatial bias projects survey Alaska marine mammal brown marmorated stink bug social media Environmental niche modeling data analysis Pentatomidae QGIS MaxEnt spatial accuracy clustering air pollution data import sky images |
| ISBN |
9783039210732
3039210734 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346690703321 |
Bordogna Gloria
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Mozgeris Gintautas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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