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Crops and Vegetation Monitoring with Remote/Proximal Sensing

Remote sensing is a powerful technique for characterizing and monitoring crop or vegetation properties at reasonable temporal and spatial resolutions. Remote sensing uses airborne and spaceborne platforms to collect various imageries and is widely applied for the vegetation monitoring of local- or l...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
rice and wheat
nitrogen remote sensing
quantitative retrieval
research prospect
vegetation phenology
snow cover
vegetation index
SOS
Tibetan Plateau
remote sensing
forest diversity
GEDI LiDAR
Sentinel-2
machine Learning
yield forecasting
logistic model
normalization method
crop canopy temperature
maize
broadband vegetation indices
chlorophyll content
leaf angle distribution
WorldView-2
RapidEye
GaoFen-6
random forest
land evaluation
soil
biomass
Hungary
gross primary productivity
soil health
soil quality
coastal marsh
continuum removal
hyperspectral
spectral signatures
unmanned aerial vehicle (UAV)
vegetation species discrimination
second derivative transformation
canopy temperature
crop water status index
accuracy assessment
peach orchard
stem water potential
backscatter
gradient boosting
machine learning
NDVI
precision agriculture
forest stock volume
NDVIRE
Helan mountains
convolutional neural networks (CNNs)
unmanned aerial vehicles (UAVs)
semi-natural grasslands
plant communities
time series
reconstruction algorithm
smoothing
optical remote sensing
cropping intensity
temporal mixture analysis
endmember
unmixing
time series images
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Online Access:ONIX_20231130_9783036594460_295
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Summary:Remote sensing is a powerful technique for characterizing and monitoring crop or vegetation properties at reasonable temporal and spatial resolutions. Remote sensing uses airborne and spaceborne platforms to collect various imageries and is widely applied for the vegetation monitoring of local- or large-scale interest concerning the effect of geophysical and climate parameters. The Special Issue highlights vegetation monitoring using remote sensing data acquired from satellite or unmanned aerial vehicle platforms. In addition to the optical data, thermal data is utilized to estimate crop yield or production, orchard water status, chlorophyll content, forest diversity mapping, or vegetation phenology.

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