Integration of Geostatistical and Sentinal-2AMultispectral Satellite Image Analysis for Predicting Soil Fertility Condition in Drylands

Integration of Geostatistical and Sentinal-2AMultispectral Satellite Image Analysis for Predicting Soil Fertility Condition in Drylands

For modelling and predicting soil indicators to be fully operational and facilitate decision-making at any spatial level, there is a requirement for precise spatially referenced soil information to be available as input data. This paper focuses on showing the capacity of Sentinal-2A(S2A) multispectr...

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Bibliographic Details
Main Authors: Mohamed S. Shokr, Yasser S. A. Mazrou, Mostafa A. Abdellatif, Ahmed A. El Baroudy, Esawy K. Mahmoud, Ahmed M. Saleh, Abdelaziz A. Belal, Zheli Ding
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
soil fertility modelling
GIS
ordinary kriging
cLHS
S2A image
drylands
Online Access:https://www.mdpi.com/2220-9964/11/6/353

Internet

https://www.mdpi.com/2220-9964/11/6/353

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