Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging

Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging

In this study, an existing combination approach that maximizes temporal correlations is used to combine six passive microwave satellite soil moisture products from 1998 to 2015 to assess its added value in long-term applications. Five of the products used are included in existing merging schemes suc...

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Bibliographic Details
Main Authors: Daniel Fiifi Tawia Hagan, Guojie Wang, Seokhyeon Kim, Robert M. Parinussa, Yi Liu, Waheed Ullah, Asher Samuel Bhatti, Xiaowen Ma, Tong Jiang, Buda Su
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
soil moisture
passive microwaves
land parameter retrieval model
data-merging
Online Access:https://www.mdpi.com/2072-4292/12/13/2164

Internet

https://www.mdpi.com/2072-4292/12/13/2164

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