A global soil moisture product at 1 km resolution based on Sentinel-1 (2023-2024)

DOI

Although soil moisture represents only a small fraction of the Earth's total water content, it plays a pivotal role in the land surface water and energy cycle by regulating key processes such as evaporation, infiltration, and vegetation growth. Remote sensing has become an essential tool for acquiring global-scale soil moisture data. In this study, a dual-polarization algorithm (DPA) is proposed, utilizing VV and VH polarization observations from the Sentinel-1 C-band synthetic aperture radar to produce a global soil moisture dataset at a spatial resolution of 1 km. Due to the observation configuration of Sentinel-1, the dataset exhibits higher temporal resolution in Europe and high-latitude regions than in other continents and lower-latitude areas. The dataset is provided in raster format, with daily ascending and descending observations. To ensure data quality, regions unsuitable for soil moisture retrieval—such as open water, permanent wetlands, frozen ground, snow- and ice-covered surfaces, and urban or built-up areas-have been excluded. User feedback and collaborative efforts to enhance the dataset are welcome.

This is an updated version of the dataset, with valid data now extended through the end of 2024.Original data citation:Fan, Dong; Zhao, Tianjie; Jiang, Xiaoguang; García-García, Almudena; Schmidt, Toni; Samaniego, Luis; Attinger, Sabine; Wu, Hua; Jiang, Yazhen; Shi, Jiancheng; Fan, Lei; Tang, Bohui; Wagner, Wolfgang; Dorigo, Wouter; Gruber, Alexander; Mattia, Francesco; Balenzano, Anna; Brocca, Luca; Jagdhuber, Thomas; Wigneron, Jean-Pierre; Montzka, Carsten; Peng, Jian (2025): A global soil moisture product at 1 km resolution based on Sentinel-1 (2016–2022) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.968754.* File descriptions:(1) File format: TIFF(2) Naming rule: SM_Ascending/Descending_YYYYMMDD.tif (eg: SM_D_20160906.tif)(3) Spatial resolution: 1km (about 0.0089831528 degree)(4) Columns and rows: 40074 and 20036(5) Coordinate system: D_WGS_1984 (EPSG:4326)(6) Scope: Top 89.9887335867, Left -179.990941903, Right 179.990941903, Bottom -89.9887335867(7) Pixel_Type: signed integer (16Bit)(8) Scale: 1000(9) Valid range: 0.02 to 0.6 m³/m³(10) Backgroud value:32767: Permanent Wetlands, Urban and Built-up Lands, Permanent Snow and Ice, Water Bodies32766: Surface temperature 10%

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.982398
Related Identifier References https://doi.org/10.1016/j.rse.2024.114579
Related Identifier IsNewVersionOf https://doi.org/10.1594/PANGAEA.968754
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.982398
Provenance
Creator Fan, Dong (ORCID: 0000-0002-4604-176X); Zhao, Tianjie; Jiang, Xiaoguang; García-García, Almudena; Schmidt, Toni; Samaniego, Luis ORCID logo; Attinger, Sabine; Wu, Hua; Jiang, Yazhen; Shi, Jiancheng; Fan, Lei; Tang, Bohui; Wagner, Wolfgang ORCID logo; Dorigo, Wouter ORCID logo; Gruber, Alexander ORCID logo; Mattia, Francesco; Balenzano, Anna; Brocca, Luca (ORCID: 0000-0002-9080-260X); Jagdhuber, Thomas; Wigneron, Jean-Pierre; Montzka, Carsten ORCID logo; Peng, Jian ORCID logo
Publisher PANGAEA
Publication Year 2025
Funding Reference China Scholarship Council https://doi.org/10.13039/501100004543 Crossref Funder ID 202004910767 ; European Space Agency https://doi.org/10.13039/501100000844 Crossref Funder ID 4000141141/23/I-EF https://4dhydro.eu/ Hyper-resolution Earth Observations And Land-surface Modeling For A Better Understanding Of The Water Cycle - 4DHydro; National Natural Science Foundation of China https://doi.org/10.13039/501100001809 Crossref Funder ID 42090014 ; National Natural Science Foundation of China https://doi.org/10.13039/501100001809 Crossref Funder ID 42401464 ; Yunnan Provincial Department of Science and Technology https://doi.org/10.13039/501100008871 Crossref Funder ID 202401CF07016 Yunnan Fundamental Research Projects
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 4 data points
Discipline Earth System Research