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Remote Sensing of Biophysical Parameters
| Remote Sensing of Biophysical Parameters |
| Autore | García-Haro Francisco Javier |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (274 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
hyperspectral
spectroscopy equivalent water thickness canopy water content agriculture EnMAP LAI LCC FAPAR FVC CCC PROSAIL GPR machine learning active learning Landsat 8 surface reflectance LEDAPS LaSRC 6SV SREM NDVI artificial neural networks canopy chlorophyll content INFORM leaf area index SAIL fluorescence in vivo spectrometry ASD Field Spec lead ions remote sensing indices meteosat second generation (MSG) biophysical parameters (LAI FAPAR) SEVIRI climate data records (CDR) stochastic spectral mixture model (SSMM) Satellite Application Facility for Land Surface Analysis (LSA SAF) the fraction of radiation absorbed by photosynthetic components (FAPARgreen) triple-source leaf area index (LAI) woody area index (WAI) clumping index (CI) Moderate Resolution Imaging Spectroradiometer (MODIS) soil albedo unmanned aircraft vehicle multispectral sensor vegetation indices rapeseed crop site-specific farming Sentinel-2 forest vegetation radiative transfer model Discrete Anisotropic Radiative Transfer (DART) model MODIS fraction of photosynthetically active radiation absorbed by vegetation (FPAR) three-dimensional radiative transfer model (3D RTM) uncertainty assessment vertical foliage profile (VFP) terrestrial laser scanning (TLS) airborne laser scanning (ALS) spaceborne laser scanning (SLS) riparian invasive vegetation burn severity canopy loss wildfire |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595067603321 |
García-Haro Francisco Javier
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Very High Resolution (VHR) Satellite Imagery: Processing and Applications
| Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| Autore | Marcello Javier |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto non controllato |
very high-resolution Pléiades imagery
surface convergence data augmentation acquisition geometry SVM classification urban water mapping beaver dam analogue agriculture parcel segmentation morphological building index airborne hypespectral imagery sunglint correction water index over-segmentation index (OSI) High-resolution satellite imagery multi-resolution segmentation (MRS) GaoFen-2 (GF-2) benthic mapping scene classification greenhouse extraction edge constraint Deformable CNN built-up areas extraction ultra-dense connection seagrass beaver mimicry forested mountain natural hazards remote sensing dimensionality reduction techniques road extraction landslide monitoring Slumgullion landslide synthetic aperture radar building detection Worldview-2 saliency index under-segmentation index (USI) texture analysis fast marching method video satellite CNN capsule super-resolution feature distillation shadow detection PrimaryCaps semiautomatic compensation unit superpixels riparian QuickBird submesoscale linear unmixing accuracy assessment composite error index (CEI) cyanobacteria local feature points Faster R-CNN occluded object detection error index of total area (ETA) large displacements threshold stability remote sensing imagery water column correction canopy height model spiral eddy sub-pixel offset tracking consensus stream restoration western Baltic Sea Worldview very high-resolution image CapsNet atmospheric correction |
| ISBN | 3-03921-757-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Very High Resolution |
| Record Nr. | UNINA-9910367747503321 |
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Marcello Javier
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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