Remote Sensing of Biophysical Parameters

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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Bibliographic Details
Format: eBook
Language:English
Published: Basel 2022
Subjects:
Research & information: general
6SV
active learning
agriculture
airborne laser scanning (ALS)
artificial neural networks
ASD Field Spec
biophysical parameters (LAI
burn severity
canopy chlorophyll content
canopy loss
canopy water content
CCC
climate data records (CDR)
clumping index (CI)
Discrete Anisotropic Radiative Transfer (DART) model
EnMAP
equivalent water thickness
FAPAR
FAPAR)
fluorescence
forest
fraction of photosynthetically active radiation absorbed by vegetation (FPAR)
FVC
GPR
hyperspectral
in vivo
INFORM
invasive vegetation
LAI
Landsat 8
LaSRC
LCC
lead ions
leaf area index
leaf area index (LAI)
LEDAPS
machine learning
meteosat second generation (MSG)
Moderate Resolution Imaging Spectroradiometer (MODIS)
MODIS
multispectral sensor
NDVI
PROSAIL
rapeseed crop
remote sensing indices
riparian
SAIL
Satellite Application Facility for Land Surface Analysis (LSA SAF)
Sentinel-2
SEVIRI
site-specific farming
soil albedo
spaceborne laser scanning (SLS)
spectrometry
spectroscopy
SREM
stochastic spectral mixture model (SSMM)
surface reflectance
terrestrial laser scanning (TLS)
the fraction of radiation absorbed by photosynthetic components (FAPARgreen)
three-dimensional radiative transfer model (3D RTM)
triple-source
uncertainty assessment
unmanned aircraft vehicle
vegetation indices
vegetation radiative transfer model
vertical foliage profile (VFP)
wildfire
woody area index (WAI)
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