Correlated Triple Collocation to Estimate SMOS, SMAP and ERA5-Land Soil Moisture Errors

Míriam Pablos; Antonio Turiel; M. Vall‐llossera; Adriano Camps; Marcos Portabella

doi:10.1109/igarss47720.2021.9553378

ScienceGate Book Chapters

JOURNAL ARTICLE

Correlated Triple Collocation to Estimate SMOS, SMAP and ERA5-Land Soil Moisture Errors

Míriam Pablos Antonio Turiel M. Vall‐llossera Adriano Camps Marcos Portabella

Year: 2021 Pages: 6182-6185

DOI: 10.1109/igarss47720.2021.9553378

Get Full-Text PDF Get Analytical Report

Abstract

2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 11-16 July 2021, Brussels, Belgium

Keywords:

Satellite Collocation (remote sensing) Water content Algorithm Remote sensing Computer science Environmental science Mathematics Physics Machine learning Geology

Metrics

Cited By

0.64

FWCI (Field Weighted Citation Impact)

Refs

0.64

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Soil Moisture and Remote Sensing

Physical Sciences → Environmental Science → Environmental Engineering

Precipitation Measurement and Analysis

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Cryospheric studies and observations

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Correlated Triple Collocation to Estimate SMOS, SMAP and ERA5-Land Soil Moisture Errors

Abstract

Metrics

Citation History

Topics

Related Documents

Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation

SMOS, ASCAT, SMAP and ERA soil moisture comparison through the triple and quadruple collocation technique

Assessment of SMAP and SMOS soil moisture products using triple collocation method over Inner Mongolia

A Triple Collocation-Based Comparison of Three L-Band Soil Moisture Datasets, SMAP, SMOS-IC, and SMOS, Over Varied Climates and Land Covers

Integrated SMAP and SMOS Soil Moisture Observations