Dataset

FZJ-2025-01148

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A global soil moisture product at 1 km resolution based on Sentinel-1 (2016-2022)

Fan, D. ; Zhao, T. ; Jiang, X. ; García-García, A. ; Schmidt, T. ; Samaniego, L. ; Attinger, S. ; Wu, H. ; Jiang, Y. ; Shi, J. ; Fan, L. ; Tang, B. ; Wagner, W. ; Dorigo, W. ; Gruber, A. ; Mattia, F. ; Balenzano, A. ; Brocca, L. ; Jagdhuber, T. ; Wigneron, J.-P. ; Montzka, C.FZJ* ; Peng, J.

2025
PANGAEA

This record in other databases:

Please use a persistent id in citations: doi:10.1594/PANGAEA.968754

Abstract: Soil moisture, although a small fraction of total water content, plays a critical role in the Earth's surface water-heat cycle by influencing processes such as evaporation, infiltration, and vegetation growth and development. Remote sensing has emerged as a critical method for obtaining global-scale soil moisture data. A dual-polarization algorithm (DPA) is proposed and the dual-polarization (VV+VH) observations from the Sentinel-1 C-band synthetic aperture radar are used to generate a global soil moisture dataset with a spatial resolution of 1 km. Due to the observation mode of Sentinel-1, the temporal resolution of this dataset is higher in European and high latitude regions compared to other continents and lower latitude regions. The dataset is provided in raster format, with one set of ascending and one set of descending data for each day, and to ensure data quality, certain areas not suitable for soil moisture retrieval have been excluded, such as water bodies, permanent wetlands, frozen areas, ice and snow covered surfaces, and urban and built-up areas. Feedback and collaboration to improve the dataset is encouraged.

Keyword(s): 1km spatial resolution ; global ; SAR ; Sentinel-1 ; soil moisture/water content ; Binary Object ; Binary Object (File Size) ; Binary Object (Media Type) ; Binary Object (MD5 Hash) ; MATLAB ® - modeling and processing ; Model-Data fusion for understanding Environmental Variability (MoDEV) ; Monitoring and Modelling Climate Change in Water, Energy and Carbon Cycles in the Pan-Third Pole Environment (CLIMATE-Pan-TPE)

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217) (POF4-217)

Appears in the scientific report 2025

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