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akaturk Academic measurement

Article detail · 2012

An objective methodology for merging satellite and model based soil moisture products

Journal

Water Resources Research

ISSN 0043-1397

YÖKSİS OpenAlex Open access · green SJR Q1 JCR Q1 Citations 174 Top 10% Percentile 93.4% FWCI 4.16
Year
2012
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Water Resources Research
  • Catalog match (ISSN) Water Resources Research
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

An objective methodology that does not require any user‐defined parameter assumptions is introduced to obtain an improved soil moisture product along with associated uncertainty estimates. This new product is obtained by merging model‐, thermal infrared remote sensing‐, and microwave remote sensing‐based soil moisture estimates in a least squares framework where uncertainty estimates for each product are obtained using triple collocation. The merged anomaly product is validated against in situ based soil moisture data and shows higher correlations with observations than individual input products; however, it is not superior to a naively merged product acquired by averaging the products using equal weighting. The resulting combined soil moisture estimate is an improvement over currently available soil moisture products due to its reduced uncertainty and can be used as a standalone soil moisture product with available uncertainty estimates.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

174 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. MUSTAFA TUĞRUL YILMAZ ORTA DOĞU TEKNİK ÜNİVERSİTESİ
  2. Crow W T
  3. Anderson M C
  4. Chris Hain
  5. GAFFARİ TÜRK