Titre
A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Zakeri, Fatemeh
Auteure/Auteur
Mariethoz, Gregoire
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
0034-4257
Statut éditorial
Publié
Date de publication
2021-06
Volume
259
Première page
112381
Peer-reviewed
Oui
Langue
anglais
Résumé
Despite an ever-increasing number of spaceborne, airborne, and ground-based data acquisition platforms, remote sensing data are still often spatially incomplete or temporally irregular. While deterministic interpolation techniques are often used, they tend to create unrealistic spatial patterns and generally do not provide uncertainty quantification. Geostatistical simulation models are effective in generating an ensemble of realistic and equally probable realizations of an unmeasured phenomenon, allowing data uncertainty to be propagated. These models are commonly used in several fields of earth science, and in recent years, they have been applied widely to remotely sensed data. This study provides the first review of the applications of geostatistical simulation to remote sensing data. We review recent geostatistical simulation models relevant to satellite remote sensing data and discuss the characteristics and advantages of each approach. Finally, the applications of each geostatistical simulation model are categorized in different domains of natural sciences, including soil, vegetation, topography, and atmospheric science.
PID Serval
serval:BIB_F9B6FB72B3FF
Open Access
Oui
Date de création
2021-06-01T07:17:49.405Z
Date de création dans IRIS
2025-05-21T06:45:29Z
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Nom
1-s2.0-S0034425721000997-main (1).pdf
Version du manuscrit
preprint
Licence
https://creativecommons.org/licenses/by/4.0
Taille
8.44 MB
Format
Adobe PDF
PID Serval
serval:BIB_F9B6FB72B3FF.P001
URN
urn:nbn:ch:serval-BIB_F9B6FB72B3FF2
Somme de contrôle
(MD5):1e319598ac9662c0b18860a5b8feb59f