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Geoinformatics in Citizen Science
| Geoinformatics in Citizen Science |
| Autore | Bordogna Gloria |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| 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 | 3-03921-073-4 |
| 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 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 |
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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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