top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
A Systems Approach for River and River Basin Restoration
A Systems Approach for River and River Basin Restoration
Autore Endreny Theodore
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (204 p.)
Soggetto topico Technology: general issues
Soggetto non controllato River thermal pollution
Mechanistic model
Urban hydrology
Riparian shading
Heat balance
functional indicators
stream restoration
riparian vegetation
fencing
cotton tensile-strength loss
wood decay
ecosystem metabolism
organic matter transport
catchment restoration
structure-function relationships
total water pollutant control
pollutant load allocation
equity and efficiency
regional and site-specific scale
environmental Gini coefficient models
Delphi-analytic hierarchy process models
water quality in streams
self-purification
nitrates
phosphates
hyporheic zone
hyporheic exchange
evapotranspiration
groundwater modeling
environmental flow component
Ethiopia
holistic environmental flow assessment
hydrological foundation
indicators of hydrologic alteration software
Lake Tana
boulder spacing
submergence ratio
near-bed shear stress
Reynolds shear stress
turbulent events
river engineering
meander bend
CFD simulation
hydraulic complexity
flood mapping
uncertainty
Bayesian inference
rating curve
watershed
systems
restoration
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557578503321
Endreny Theodore  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Marcello Javier  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui