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Advances in Remote Sensing for Global Forest Monitoring
| Advances in Remote Sensing for Global Forest Monitoring |
| Autore | Tomppo Erkki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (352 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
forest structure change
EBLUP small area estimation multitemporal LiDAR and stand-level estimates forest cover Sentinel-1 Sentinel-2 data fusion machine-learning Germany South Africa temperate forest savanna classification Sentinel 2 land use land cover improved k-NN logistic regression random forest support vector machine statistical estimator IPCC good practice guidelines activity data emissions factor removals factor Picea crassifolia Kom compatible equation nonlinear seemingly unrelated regression error-in-variable modeling leave-one-out cross-validation digital surface model digital terrain model canopy height model constrained neighbor interpolation ordinary neighbor interpolation point cloud density stereo imagery remotely sensed LAI field measured LAI validation magnitude uncertainty temporal dynamics state space models forest disturbance mapping near real-time monitoring CUSUM NRT monitoring deforestation degradation tropical forest tropical peat forest type deep learning FCN8s CRFasRNN GF2 dual-FCN8s random forests error propagation bootstrapping Landsat LiDAR La Rioja forest area change data assessment uncertainty evaluation inconsistency forest monitoring drought time series satellite data Bowen ratio carbon flux boreal forest windstorm damage synthetic aperture radar C-band genetic algorithm multinomial logistic regression |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338103321 |
Tomppo Erkki
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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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Grid-Connected Renewable Energy Sources
| Grid-Connected Renewable Energy Sources |
| Autore | Hernandez J. C |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (234 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
solar energy
wind energy energy storage renewable energy integration Europe advanced metering infrastructure data acquisition IEC standards low-cost open source power measurement smart meter uncertainty evaluation frequency stabilization coordinated control wind turbine generator high-fidelity battery model releasable and absorbable energy photovoltaic emulator photovoltaic panel single diode model MPPT FSWT-SCIG battery storage system power system stability synchronous generator hybrid system voltage source converter passivity-based control proportional-integral control voltage regulation bi-directional converter LC impedance source converter DC–DC power converter bi-directional power flow alternating current networks direct current networks optimal power flow non-linear optimization control of power electronic converters distributed generation mixed-integer nonlinear programming second-cone programming discrete-sine cosine algorithm metaheuristic optimization DG placement evolutionary algorithms energy management fuzzy controller power systems analysis interconnected power systems latencies time-delay effects wide area monitoring systems renewable energy conversion power conditioning devices renewable energy policies power quality computations methods control strategies electric vehicle charging energy management systems ancillary services monitoring prognostic and diagnostic |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557362003321 |
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Hernandez J. C
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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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Space for Sustainability: Using Data from Earth Observation to Support Sustainable Development Indicators
| Space for Sustainability: Using Data from Earth Observation to Support Sustainable Development Indicators |
| Autore | Morse Stephen |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
earth observation
end-users environmental management land use Brazil Sustainable Development Goals hazards Earth observations remote sensing demography urbanization gridded population very high resolution satellite data habitat suitability habitat assessment Environmental Land Management monitoring verification reporting soil organic carbon soil organic matter Earth Observation SDGs indicator type data challenges UN sustainable development goals education socio-economic overcrowded schools vulnerability flooding Earth Observation (EO) Google Street View (GSV) climate change uncertainty evaluation desertification global change Earth observation planetary measurement Land Degradation Neutrality |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Space for Sustainability |
| Record Nr. | UNINA-9910580205203321 |
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Morse Stephen
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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