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Remote Sensing of Biophysical Parameters
Remote Sensing of Biophysical Parameters
Autore García-Haro Francisco Javier
Descrizione fisica 1 online resource (274 p.)
Soggetto topico Research & information: general
Soggetto non controllato 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)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595067603321
García-Haro Francisco Javier  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
Autore Marcello Javier
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (262 p.)
Soggetto topico History of engineering and technology
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 9783039217571
3039217577
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367747503321
Marcello Javier  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui