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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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Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
| Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass |
| Autore | Aranha José |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
AGB estimation and mapping
mangroves UAV LiDAR WorldView-2 terrestrial laser scanning above-ground biomass nondestructive method DBH bark roughness Landsat dataset forest AGC estimation random forest spatiotemporal evolution aboveground biomass variable selection forest type machine learning subtropical forests Landsat 8 OLI seasonal images stepwise regression map quality subtropical forest urban vegetation biomass estimation Sentinel-2A Xuzhou forest biomass estimation forest inventory data multisource remote sensing biomass density ecosystem services trade-off synergy multiple ES interactions valley basin norway spruce LiDAR allometric equation individual tree detection tree height diameter at breast height GEOMON ALOS-2 L band SAR Sentinel-1 C band SAR Sentinel-2 MSI ALOS DSM stand volume support vector machine for regression ordinary kriging forest succession leaf area index plant area index machine learning algorithms forest growing stock volume SPOT6 imagery Pinus massoniana plantations sentinel 2 landsat remote sensing GIS shrubs biomass bioenergy vegetation indices |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557474803321 |
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Aranha José
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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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Physiological Responses to Abiotic and Biotic Stress in Forest Trees
| Physiological Responses to Abiotic and Biotic Stress in Forest Trees |
| Autore | Polle Andrea |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto non controllato |
pure stands
ion relation Heterobasidion annosum salicylic acid antioxidant enzymes antioxidant activity Luquasorb intrinsic water-use efficiency Greece Pinus koraiensis Sieb. et Zucc ion homeostasis photosynthesis Pinus massoniana Stockosorb water relations Norway spruce rubber tree hydrophilic polymers drought stress ion relationships Carpinus betulus tree rings N nutrition disturbance Populus simonii Carr. (poplar) infection subcellular localization basal area increment mixed stands photosynthetic responses Aleppo pine water potential elevation gradient living cell physiological response antioxidant enzyme activity ion contents signal network expression soil N GA-signaling pathway differentially expressed genes Ca2+ signal climate ecophysiology Robinia pseudoacacia L. Heterobasidion parviporum mid-term plant tolerance canopy conductance DELLA tapping panel dryness osmotic adjustment substances abiotic stress wood formation malondialdehyde salinity treatments organic osmolytes bamboo forest non-structural carbohydrate Abies alba Mill tree salt stress Populus euphratica proline nutrition Carpinus turczaninowii plasma membrane Ca2+ channels gene regulation pathogen TCP forest type functional analysis Fraxinus mandshurica Rupr long-term drought defense response cold stress silicon fertilization gas exchange Fagus sylvatica L. glutaredoxin water availability 24-epiBL application Konjac glucomannan leaf properties reactive oxygen species sap flow ?13C salinity morphological indices chloroplast ultrastructure Moso Bamboo (Phyllostachys edulis) drought soluble sugar molecular cloning starch growth |
| ISBN | 3-03921-515-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755303321 |
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Polle Andrea
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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