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