Remote Sensing of Biophysical Parameters

Vegetation plays an essential role in the study of the environment through plant respiration and photosynthesis. Therefore, the assessment of the current vegetation status is critical to modeling terrestrial ecosystems and energy cycles. Canopy structure (LAI, fCover, plant height, biomass, leaf ang...

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Detalles Bibliográficos
Otros Autores:	García-Haro, Francisco Javier (Editor), Fang, Hongliang (Otro), Campos-Taberner, Manuel
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel MDPI Books 2022
Materias:	Research & information: general 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
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009683469706719