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Overcoming Data Scarcity in Earth Science

heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable...

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Main Authors: Etcheverry Venturini, Lorena, Chreties Ceriani, Christian, Castro Casales, Alberto, Gorgoglione, Angela
Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
TA1-2040
T1-995
TA170-171
geophysical monitoring
data scarcity
missing data
climate extreme indices (CEIs)
rule extraction
Dataset Licensedatabase
data assimilation
data imputation
support vector machines
environmental observations
multi-class classification
earth-science data
remote sensing
magnetotelluric monitoring
soil texture calculator
machine learning
ClimPACT
invasive species
species distribution modeling
3D-Var
ensemble learning
data quality
water quality
microhabitat
k-Nearest Neighbors
Expert Team on Climate Change Detection and Indices (ETCCDI)
decision trees
processing
attribute reduction
Expert Team on Sector-specific Climate Indices (ET-SCI)
core attribute
rough set theory
GLDAS
arthropod vector
environmental modeling
statistical methods
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online Access:46098
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