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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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ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications
| ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications |
| Autore | Tadono Takeo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
Sentinel-1
ALOS/PALSAR-2 land subsidence accuracy assessment Alexandria City Egypt local climate zone random forest feature importance land surface temperature grid cells Sentinel-2 PALSAR-2 ASTER soil moisture ALOS-2 GA-BP water cloud model L-band SAR backscattering soil moisture content LAI HH and HV polarization flood NoBADI Florida Hurricane Irma synthetic aperture radar polarimetric radar co-polarized phase difference radar scattering vegetation radar applications agriculture leaf area index leave-one-out cross-validation oil palm radar vegetation index vegetation descriptors ecosystem carbon cycle L-band SAR vegetation index random forest regression plantation permafrost InSAR Qinghai-Tibet Plateau ALOS thermal melting collapse Sentinel-1A SBAS-InSAR heavy forest area potential landslide identification SAR-based landslide detection Growing Split-Based Approach (GSBA) Hokkaido landslide Putanpunas landslide SAR polarimetry model-free 3-component decomposition for full polarimetric data (MF3CF) radar polarimetry calibration Faraday rotation |
| ISBN | 3-0365-6105-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639994803321 |
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Tadono Takeo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Remote Image Capture System in Agriculture
| Applications of Remote Image Capture System in Agriculture |
| Autore | Molina Martínez José Miguel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (310 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D model
aerial photography agricultural robot agriculture Agriculture 4.0 andosols applications artificial intelligence automatic tomato harvesting banana plantation berries counting budding rate Cabernet Sauvignon canopy temperature classification performance coffee leaf rust convolutional neural network decision making deep learning digital agriculture digital image correlation Dilated CNN failure strain fertirrigation finite element method Fourth Industrial Revolution frequency-domain reflectometry geometric consistency grape yield estimate greenhouse Hill-Tsai failure criterion ICP image processing land use large-scale low-cost thermography machine learning machine learning algorithms machine learning regression mixed pixels moisture sensors n/a NDVI non-transpiration baseline non-water-stressed baselines normalized difference vegetation index Normalized Difference Vegetation Index normalized difference water index online operation optimization algorithm Panama TR4 Parrot Sequoia pasture quality index point clouds precision agriculture precision viticulture Prunus avium L. radiometric consistency randomizable filtered classifier reference evapotranspiration reflectance maps remote images remote sensing sandstone segmentation Sentinel-2 soil moisture spatial vision spectrometry stem water potential supplementation SVM systematic mapping study teaching-learning thermal indexes total leaf area U-Net UAV vegetation indices water stress winter wheat mapping |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557895803321 |
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Molina Martínez José Miguel
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing
| Artificial Neural Networks and Evolutionary Computation in Remote Sensing |
| Autore | Kavzoglu Taskin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (256 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
aerial images
AI on the edge artificial neural networks China classification classification ensemble CNN CNNs convolutional neural network convolutional neural networks convolutional neural networks (CNNs) deep learning dense network digital terrain analysis dilated convolutional network earth observation end-to-end detection Faster RCNN feature fusion Feicheng few-shot learning Gaofen 6 Gaofen-2 imagery geographic information system (GIS) hyperspectral image classification hyperspectral images image downscaling image segmentation land-use LiDAR light detection and ranging machine learning mask R-CNN mask regional-convolutional neural networks microsat mission mixed forest mixed-inter nonlinear programming model generalization multi-label segmentation multi-scale feature fusion nanosat on-board optical remote sensing images post-processing quadruplet loss remote sensing resource extraction semantic features semantic segmentation Sentinel-2 ship detection single shot multi-box detector (SSD) spatial distribution SRGAN statistical features super-resolution superstructure optimization Tai'an transfer learning unmanned aerial vehicles winter wheat You Look Only Once-v3 (YOLO-v3) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557148403321 |
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Kavzoglu Taskin
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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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Coastal Waters Monitoring Using Remote Sensing Technology
| Coastal Waters Monitoring Using Remote Sensing Technology |
| Autore | Vignudelli Stefano |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ACOLITE
ADG/CDOM colored dissolved organic matter aerial drone along-track interferometric synthetic aperture radar (ATI-SAR) Arctic Ocean Ariake Sea atmospheric correction azimuth ambiguity backscattering band registration baseline-to-platform speed ratio estimation bathymetry inversion black pixel assumption Black Sea C2RCC Chattonella spp chlorophyll-a variability climate change impact coastal flooding coastal geomorphology coastal ocean coastal processes coastal upwelling coastal urban centers coastal waters Copernicus programme current line-of-sight (LOS) velocity diffuse attenuation coefficient empirical orthogonal function frontal zones GNSS GOCI harmful algal blooms HF marine radars high frequency radar hurricanes image augmentation in situ measurements Inner Sea of Chiloé internal waves land subsidence Landsat-8 OLI lidar management marine storms Mediterranean sea Mekong Delta Micasense Rededge-M model data MODIS MODIS-Aqua morphological registration multi-scale monitoring multi-temporal approach multi-temporal SAR interferometry multispectral camera MUR SST Mzymta River natural hazards natural protected areas neural networks northern Patagonia ocean color ocean color data ocean surface circulation ocean tidal backwater ocean tide model Pearl River estuary physics-based inversion method phytoplankton remote sensing Puerto Rico radon transform red tides relative sea level change remote sensing river discharge river plume S-EOF satellite satellite altimetry satellite altimetry data satellite remote sensing satellite-derived bathymetry sea waves sea-surface height sediment transport self-organizing map Sentinel 3 Sentinel-2 Sentinel-2 MSI Skeletonema spp small river plume southwestern Puerto Rico spatial-temporal distribution spring-neap tides SST fronts stage-discharge relation steric-effect storm surge suspended particulate matter suspended sediment synoptic characteristics time-series total suspended sediment turbid waters turbidity Typhoon Soudelor VIIRS water quality wave energy wave radar wind forcing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566467303321 |
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Vignudelli Stefano
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Drones for Biodiversity Conservation and Ecological Monitoring
| Drones for Biodiversity Conservation and Ecological Monitoring |
| Autore | Mücher C.A |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (176 p.) |
| Soggetto non controllato |
accuracy
aerial survey albedo biodiversity biodiversity threats biological conservation bird censuses boreal forest conservation drone drone mapping drones drought ecological integrity ecological monitoring effective management field experiments flight altitude forest regeneration forêt Montmorency great apes greenness index ground-truth hyperspectral image processing image resolution Landsat 8 long-term monitoring low-cost UAV LTER LTSER Motus multiscale approach multispectral multispectral mapping native grassland NDVI Parrot Sequoia Parrot SEQUOIA phenology Pinus nigra Pinus sylvestris Plegadis falcinellus precision protected areas radio-tracking random forest response surface rice crops RPAS Sentinel Sentinel-2 Sequoia small UAV supervised classification survey Tanzania UAS UAV UAVs unmanned aerial vehicles (UAVs) vegetation indices western swamphen |
| ISBN | 3-03921-981-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367736803321 |
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Mücher C.A
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electronics, Close-Range Sensors and Artificial Intelligence in Forestry
| Electronics, Close-Range Sensors and Artificial Intelligence in Forestry |
| Autore | Borz Stelian Alexandru |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
| Soggetto non controllato |
forest fire detection
deep learning ensemble learning Yolov5 EfficientDet EfficientNet big data automation artificial intelligence multi-modality acceleration classification events performance motor-manual felling willow Romania region detection of forest fire grading of forest fire weakly supervised loss fine segmentation region-refining segmentation lightweight Faster R-CNN ultrasound sensors road scanner terrestrial laser scanning TLS forest road maintenance forest road monitoring crowned road surface digital twinning climate smart LiDAR digitalization forest loss land-cover change machine learning spatial heterogeneity random forest model geographically weighted regression aboveground biomass estimation remote sensing Sentinel-2 Iran multiple regression artificial neural network k-nearest neighbor random forest canopy drone leaf leaves foliar samples sampling Aerial robotics UAS UAV IoT forest ecology accessibility wood diameter length close-range sensing Augmented Reality comparison accuracy effectiveness potential forestry 4.0 wood technology sawmilling productivity prediction long-term tree ring forestry detection resistance sensor micro-drilling resistance method signal processing Signal-to-Noise Ratio (SNR) |
| ISBN | 3-0365-6171-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639985003321 |
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Borz Stelian Alexandru
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image Simulation in Remote Sensing
| Image Simulation in Remote Sensing |
| Autore | Eo Yang Dam |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (128 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
3D point cloud
aerial orthoimage backpack-based mapping computational simulation denoising detection discrepancy fusing region proposals high-resolution image fusion image simulation in situ self-calibration interferometry KOMPSAT-3A matching mobile mapping system mosaic multi-beam LiDAR n/a panchromatic image random forest regression remote sensing residual U-Net RPCs SAR image SAR imagery sensor modeling Sentinel-2 strip super-resolution |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566468703321 |
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Eo Yang Dam
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications
| Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications |
| Autore | Pirotti Francesco |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (216 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D reconstruction
artificial neural network Beirut camera calibration change detection computer vision Copernicus damage proxy map deep learning dense image matching dense image matching (DIM) dense point cloud digital elevation model dome effect enhancement explosion geometric error GNSS-assisted block orientation high-precision calibration image histogram image processing InSAR isolated objects Lebanon mesh model modeling Monte Carlo simulation multiple view stereo (MVS) n/a natural disasters noise estimation optical flow estimation optical remote sensing image photogrammetry point cloud point clouds preprocessing radiometric calibration roughness sample optimization Sentinel-1 Sentinel-2 soil moisture content Structure from Motion (SfM) surface reconstruction synthetic aperture radar threshold selection UAV VHR tri-stereo satellite imagery visibility constraints volumetric methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Innovations in Photogrammetry and Remote Sensing |
| Record Nr. | UNINA-9910576883503321 |
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Pirotti Francesco
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Land Degradation Assessment with Earth Observation
| Land Degradation Assessment with Earth Observation |
| Autore | Symeonakis Elias |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (368 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Amu Darya delta (ADD)
archetypes arid and semi-arid areas aridity index AVHRR bfast BFAST Botswana breakpoint analysis breakpoints and timeseries analysis browning central Asia developing countries drivers drought drought adaptation drought impacts drought index drought vulnerability Earth observation East Africa ecosystem structural change Gaofen satellite GEE geographically weighted regression (GWR) Google Earth Engine greenhouse gas emissions greening gully mapping high temporal resolution irrigated systems Kenya Kobresia pygmaea community Kyrgyzstan land cover land degradation land degradation neutrality land productivity land surface phenology land use land use-land cover Landsat Landsat time series analysis machine learning Mann-Kendall mining development MODIS monitoring and reporting n/a NDVI Niger River basin Nigeria Normalised Difference Vegetation Index (NDVI) pastures precipitation random forest REDD+ reference levels remote sensing remote sensing index RWEQ salinity index salinization salinized land degradation index (SDI) satellite imagery satellite-based aridity index savannah SDG self-organizing maps semi-arid areas semi-arid environment Sen's slope Sentinel-1 Sentinel-2 Sentinel-2 images shrub encroachment slangbos Soil Adjusted Vegetation Index (SAVI) soil organic carbon South Africa spatial distribution spatial heterogeneity spatial-temporal variation standardized precipitation evapotranspiration index support vector machines sustainable land management programmes Synthetic Aperture Radar (SAR) TI-NDVI time series trend analysis Uganda unmanned aerial vehicle Vegetation Condition Index (VCI) vegetation index vegetation resilience vegetation trends vegetation-precipitation relationship wind erosion modeling Xishuangbanna |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873503321 |
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Symeonakis Elias
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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