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Hyperspectral Remote Sensing of Agriculture and Vegetation

This book shows recent and innovative applications of the use of hyperspectral technology for optimal quantification of crop, vegetation, and soil biophysical variables at various spatial scales, which can be an important aspect in agricultural management practices and monitoring. The articles colle...

Täydet tiedot

Tallennettuna:
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2021
Aiheet:
hyperspectral LiDAR
Red Edge
AOTF
vegetation parameters
leaf chlorophyll content
DLARI
MDATT
adaxial
abaxial
spectral reflectance
peanut
field spectroscopy
hyperspectral
heavy metals
grapevine
PLS
SVM
MLR
multi-angle observation
hyperspectral remote sensing
BRDF
vegetation classification
object-oriented segmentation
spectroscopy
artificial intelligence
proximal sensing data
precision agriculture
spectra
vegetation
plant
classification
discrimination
feature selection
waveband selection
support vector machine
random forest
Natura 2000
invasive species
expansive species
biodiversity
proximal sensor
macronutrient
micronutrient
remote sensing
hyperspectral imaging
platforms and sensors
analytical methods
crop properties
soil characteristics
classification of agricultural features
canopy spectra
chlorophyll content
continuous wavelet transform (CWT)
correlation coefficient
partial least square regression (PLSR)
reproducibility
replicability
partial least squares
Ethiopia
Eragrostis tef
hyperspectral remote sensing for soil and crops in agriculture
hyperspectral imaging for vegetation
plant traits
high-resolution spectroscopy for agricultural soils and vegetation
hyperspectral databases for agricultural soils and vegetation
hyperspectral data as input for modelling soil, crop, and vegetation
product validation
new hyperspectral technologies
future hyperspectral missions
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
Linkit:ONIX_20210501_9783039439072_65
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ONIX_20210501_9783039439072_65

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