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 |
Aranha José
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Novel Advances in Aquatic Vegetation Monitoring in Ocean, Lakes and Rivers |
Autore | Casado Monica Rivas |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (132 p.) |
Soggetto non controllato |
bottom reflectance
aquatic vegetation normalized difference vegetation index (NDVI) Lake Ulansuhai concave–convex decision function radiative transfer methodological comparison remote sensing extraction invasive plants CAS S. alterniflora spectroscopy China nuclear power station floating algae index (FAI) Landsat OLI Spartina alterniflora substrate unmanned aerial vehicle Lake Baikal reflectance 1st derivative seaweed remote sensing WorldView-2 species discrimination WorldView-3 water-column correction Selenga River Delta macroalgae object-based image analysis seaweed enhancing index (SEI) freshwater wetland GF-1 satellite river |
ISBN | 3-03921-206-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367566303321 |
Casado Monica Rivas
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Coastline Detection |
Autore | Dominici Donatella |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (138 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
DGPS measurements
video camera observation shoreline position beach survey Sentinel-2 Remote Sensing habitat mapping mangroves coral reefs climate change vulnerable habitats side-scan sonar swath bathymetry habitat monitoring hurricane Sandy hurricane Joaquin shoreline detection remote sensing WorldView-2 Abruzzo multispectral classification shoreline coastline satellite images synthetic aperture radar (SAR) Sentinel-1 shoreline extraction coastline extraction active connection matrix (ACM) J-Net Dynamic edge detection canny edge detector coastline mapping geomatics SfM photogrammetry network RTK sea level rise coastlines 2100 storm surges heritage sites Pyrgi Mediterranean UAV DSM |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557546503321 |
Dominici Donatella
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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