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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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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 electronic resource (310 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
SVM
budding rate UAV geometric consistency radiometric consistency point clouds ICP reflectance maps vegetation indices Parrot Sequoia artificial intelligence precision agriculture agricultural robot optimization algorithm online operation segmentation coffee leaf rust machine learning deep learning remote sensing Fourth Industrial Revolution Agriculture 4.0 failure strain sandstone digital image correlation Hill-Tsai failure criterion finite element method reference evapotranspiration moisture sensors machine learning regression frequency-domain reflectometry randomizable filtered classifier convolutional neural network U-Net land use banana plantation Panama TR4 aerial photography remote images systematic mapping study agriculture applications total leaf area mixed pixels Cabernet Sauvignon NDVI Normalized Difference Vegetation Index precision viticulture 3D model spatial vision fertirrigation teaching-learning spectrometry Sentinel-2 pasture quality index normalized difference vegetation index normalized difference water index supplementation decision making digital agriculture grape yield estimate berries counting Dilated CNN machine learning algorithms classification performance winter wheat mapping large-scale water stress Prunus avium L. stem water potential low-cost thermography thermal indexes canopy temperature non-water-stressed baselines non-transpiration baseline soil moisture andosols image processing greenhouse automatic tomato harvesting |
| 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 electronic resource (256 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
convolutional neural network
image segmentation multi-scale feature fusion semantic features Gaofen 6 aerial images land-use Tai’an convolutional neural networks (CNNs) feature fusion ship detection optical remote sensing images end-to-end detection transfer learning remote sensing single shot multi-box detector (SSD) You Look Only Once-v3 (YOLO-v3) Faster RCNN statistical features Gaofen-2 imagery winter wheat post-processing spatial distribution Feicheng China light detection and ranging LiDAR deep learning convolutional neural networks CNNs mask regional-convolutional neural networks mask R-CNN digital terrain analysis resource extraction hyperspectral image classification few-shot learning quadruplet loss dense network dilated convolutional network artificial neural networks classification superstructure optimization mixed-inter nonlinear programming hyperspectral images super-resolution SRGAN model generalization image downscaling mixed forest multi-label segmentation semantic segmentation unmanned aerial vehicles classification ensemble machine learning Sentinel-2 geographic information system (GIS) earth observation on-board microsat mission nanosat AI on the edge CNN |
| 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 electronic resource (498 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ACOLITE
coastal waters atmospheric correction time-series management Sentinel-2 radon transform remote sensing bathymetry inversion multi-scale monitoring image augmentation phytoplankton remote sensing coastal ocean red tides black pixel assumption satellite sediment transport coastal geomorphology ocean color GOCI VIIRS turbid waters satellite-derived bathymetry Copernicus programme multi-temporal approach lidar turbidity coastal upwelling wind forcing river plume MODIS Arctic Ocean hurricanes water quality Puerto Rico harmful algal blooms Chattonella spp Skeletonema spp backscattering Ariake Sea chlorophyll-a variability spring–neap tides MODIS-Aqua total suspended sediment river discharge band registration morphological registration multispectral camera Micasense Rededge-M Pearl River estuary diffuse attenuation coefficient S-EOF land subsidence multi-temporal SAR interferometry sea-surface height relative sea level change satellite altimetry data GNSS coastal urban centers natural protected areas climate change impact physics-based inversion method ocean surface circulation high frequency radar self-organizing map empirical orthogonal function neural networks synoptic characteristics wave radar sea waves model data Mediterranean sea small river plume aerial drone coastal processes frontal zones internal waves along-track interferometric synthetic aperture radar (ATI-SAR) current line-of-sight (LOS) velocity azimuth ambiguity baseline-to-platform speed ratio estimation storm surge coastal flooding marine storms natural hazards steric-effect satellite altimetry ADG/CDOM colored dissolved organic matter Sentinel 3 southwestern Puerto Rico ocean tidal backwater stage–discharge relation ocean tide model Mekong Delta suspended particulate matter ocean color data satellite remote sensing in situ measurements C2RCC Landsat-8 OLI Sentinel-2 MSI Mzymta River Black Sea MUR SST SST fronts Inner Sea of Chiloé northern Patagonia suspended sediment Typhoon Soudelor spatial–temporal distribution HF marine radars wave energy |
| 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 electronic resource (176 p.) |
| Soggetto non controllato |
Pinus nigra
unmanned aerial vehicles (UAVs) biological conservation precision flight altitude accuracy multiscale approach low-cost UAV LTER small UAV ecological monitoring Sequoia long-term monitoring albedo image processing vegetation indices Tanzania ground-truth Sentinel-2 biodiversity threats field experiments effective management great apes drone ecological integrity multispectral rice crops conservation protected areas survey response surface aerial survey bird censuses multispectral mapping drones UAS hyperspectral UAV random forest Pinus sylvestris NDVI UAVs Parrot Sequoia supervised classification drone mapping RPAS greenness index image resolution Plegadis falcinellus Motus biodiversity Landsat 8 Sentinel boreal forest phenology LTSER western swamphen Parrot SEQUOIA native grassland forêt Montmorency drought forest regeneration radio-tracking |
| 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 electronic resource (128 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
image fusion
random forest regression SAR image panchromatic image high-resolution multi-beam LiDAR in situ self-calibration mobile mapping system 3D point cloud backpack-based mapping aerial orthoimage Sentinel-2 super-resolution image simulation residual U-Net interferometry remote sensing computational simulation denoising detection SAR imagery fusing region proposals KOMPSAT-3A strip sensor modeling RPCs mosaic matching discrepancy |
| 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 electronic resource (216 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
VHR tri-stereo satellite imagery
digital elevation model isolated objects dense image matching change detection natural disasters deep learning threshold selection optical flow estimation Structure from Motion (SfM) 3D reconstruction noise estimation point clouds roughness surface reconstruction mesh model visibility constraints volumetric methods dense point cloud multiple view stereo (MVS) dense image matching (DIM) photogrammetry computer vision Copernicus Sentinel-1 Sentinel-2 InSAR damage proxy map Beirut Lebanon explosion radiometric calibration modeling geometric error high-precision calibration preprocessing enhancement point cloud image processing image histogram UAV camera calibration GNSS-assisted block orientation dome effect Monte Carlo simulation soil moisture content artificial neural network sample optimization synthetic aperture radar optical remote sensing image |
| 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 electronic resource (368 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
bfast
Mann-Kendall Sen's slope East Africa NDVI breakpoint analysis vegetation trends greening browning Kenya Uganda trend analysis land use land cover spatial heterogeneity mining development geographically weighted regression (GWR) arid and semi-arid areas salinization irrigated systems Niger River basin salinity index vegetation index TI-NDVI Sentinel-2 images high temporal resolution wind erosion modeling RWEQ GEE central Asia spatial-temporal variation land degradation archetypes self-organizing maps drivers savannah Nigeria reference levels REDD+ greenhouse gas emissions Xishuangbanna monitoring and reporting Normalised Difference Vegetation Index (NDVI) Vegetation Condition Index (VCI) drought land use-land cover remote sensing Botswana developing countries Google Earth Engine Landsat time series analysis semi-arid areas sustainable land management programmes precipitation breakpoints and timeseries analysis ecosystem structural change BFAST land degradation neutrality SDG land productivity Landsat vegetation-precipitation relationship soil organic carbon Kobresia pygmaea community unmanned aerial vehicle Gaofen satellite spatial distribution aridity index satellite-based aridity index remote sensing index salinized land degradation index (SDI) Amu Darya delta (ADD) satellite imagery gully mapping machine learning random forest support vector machines South Africa semi-arid environment shrub encroachment slangbos Earth observation time series Sentinel-1 Sentinel-2 Synthetic Aperture Radar (SAR) Soil Adjusted Vegetation Index (SAVI) Kyrgyzstan pastures MODIS land surface phenology drought impacts drought adaptation drought index vegetation resilience drought vulnerability standardized precipitation evapotranspiration index AVHRR |
| 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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