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Assessment of Renewable Energy Resources with Remote Sensing
| Assessment of Renewable Energy Resources with Remote Sensing |
| Autore | Martins Fernando Ramos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
artificial neural networks
Baltic area climate cloud cloud coverage cloud detection coastal wind measurements coastline computational design method convection CSP plants data processing digitized image processing electrical resistivity tomography extreme value analysis feature engineering feature importance forecasting geophysical prospecting geothermal energy GES-CAL software global radiation graphical user interface software Hazaki Oceanographical Research Station hydropower reservoir image processing lake breeze influence light gradient boosting machine machine learning machine learning techniques metaheuristic multistep-ahead prediction parameter extraction passive design strategy photovoltaic power plant plan position indicator point cloud data potential well field location remote sensing remote sensing data acquisition renewable energy resource assessment and forecasting satellite scanning LiDAR scatterometer shading envelopes sky camera smart island solar energy solar energy resource solar irradiance enhancement solar irradiance estimation solar irradiance forecasting solar photovoltaic solar radiation forecasting statistical analysis surface solar radiation time domain electromagnetic method total sky imagery velocity volume processing voxel-design approach whale optimization algorithm wind speed |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557427903321 |
Martins Fernando Ramos
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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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ASTER 20th Anniversary
| ASTER 20th Anniversary |
| Autore | Abrams Michael J |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (284 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D perspective view
Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aeolian Algodones Artificial Neural Network ASTER ASTER instrument ASTER multispectral data atmospheric correction cloud avoidance cloud coverage cloud mask DEM deposition digital elevation model earthen Great Wall emissivity erosion fluvial future concepts geologic mapping global database image archive land-surface temperature lithological mapping lithology loess lunar calibration Mako mineral exploration mineral mapping mineral system Ming Dynasty mission operations MOD35 MODIS morphology Mosaic n/a observation scheduler optical sensor permafrost phase change radiometric calibration sediment transport pathways stereo success rate temperature Terra ASTER Terra MODIS TES algorithm thermal infrared thermal infrared data TIR True Color imagery uncertain flag validation vicarious calibration VNIR volcanic processes water body detection Wudalianchi volcano zero curtain effect |
| ISBN | 3-03928-685-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404090603321 |
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Abrams Michael J
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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