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Atmosphere
Special Issues
Soil Moisture Monitoring: Measurement and Simulation
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Soil Moisture Monitoring: Measurement and Simulation

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 2140

Special Issue Editors

Dr. Minfeng Xing

E-Mail Website
Guest Editor
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: the synthetic aperture radar image processing; the application of unmanned aerial vehicle; quantitative estimation of land surface variables from satellite remote sensing and on integration of multiple data sources with numerical models
Special Issues, Collections and Topics in MDPI journals
Dr. Min Xu

E-Mail Website
Guest Editor
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Interests: quantitative remote sensing; environmental health; soil monitoring
Special Issues, Collections and Topics in MDPI journals
Dr. Xiliang Ni

E-Mail Website
Guest Editor
Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
Interests: vegetation remote sensing; ecological environment monitoring; climate change
Dr. Yuanyuan Yang

E-Mail Website
Guest Editor
Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China
Interests: microwave remote sensing; soil moisture; time series analysis; climate change

Special Issue Information

Dear Colleagues,

Soil moisture is a key parameter when it comes to understanding the processes related to the water cycle on continental surfaces (infiltration, evapotranspiration, runoff, etc.). It plays a major role in the management of irrigation and the monitoring of extreme events (floods, drought, etc.).

Soil moisture monitoring has advanced in recent years, creating opportunities to transform scientific understanding of soil moisture and related processes. Over the past several decades, great progress has been made in soil moisture monitoring. These include emerging in situ and proximal sensing techniques, dedicated soil moisture remote sensing missions, as well as soil moisture monitoring networks. In addition, the assimilation of soil moisture data for meteorological or hydrologic forecasting also shows promise.

Here, we invite you to publish works that present the use of any method (satellite and aerial RS, UAV, field robot, sensors, and simulation) for assessment of soil moisture. Works devoted to the broadly understood modelling and mapping of soil moisture are also welcome.

The topics of the Special Issue include, but are not limited to, the following:

  • Review on soil moisture monitoring;
  • Introduction to field, aircraft experiments, or satellite missions for soil moisture;
  • Development, calibration, or validation of the theoretical or semi-empirical models used for soil moisture monitoring;
  • Development, improvement, or comparison soil moisture monitoring algorithms;
  • Evaluation or comparison of soil moisture mapping in situ measurements, model simulations, or other mathematical approaches;
  • Application of soil moisture in data assimilation, agriculture, ecology, hydrology, climate change, and other fields;
  • Temporal approach to soil moisture monitoring;
  • New soil moisture monitoring technology methods, such as machine and deep learning.

Dr. Minfeng Xing
Dr. Min Xu
Dr. Xiliang Ni
Dr. Yuanyuan Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • soil moisture
  • time series analysis
  • data assimilation
  • remote sensing
  • retrieval algorithms
  • eco-hydrological applications
  • soil moisture production
  • product validation and error analysis
  • soil mapping
  • machine and deep learning

Published Papers (1 paper)

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Research

20 pages, 5121 KiB  
Article
Spatial-Temporal Variation Characteristics and Influencing Factors of Soil Moisture in the Yellow River Basin Using ESA CCI SM Products
by Lei Guo, Bowen Zhu, Hua Jin, Yulu Zhang, Yaxin Min, Yuchen He and Haoyu Shi
Atmosphere 2022, 13(6), 962; https://doi.org/10.3390/atmos13060962 - 14 Jun 2022
Cited by 2 | Viewed by 1672
Abstract
Soil moisture (SM) plays an important role in regulating terrestrial–atmospheric water circulation and energy balance. Most of the existing studies have explored the dynamic patterns of SM based on experimental methods. However, the analysis of large-scale regions and long-term SM sequences was limited. [...] Read more.
Soil moisture (SM) plays an important role in regulating terrestrial–atmospheric water circulation and energy balance. Most of the existing studies have explored the dynamic patterns of SM based on experimental methods. However, the analysis of large-scale regions and long-term SM sequences was limited. Alternatively, satellite remote sensing data is a potential source for SM analysis for large-scale basins. Therefore, the SM data from the European Space Agency (ESA) Climate Change Initiative (CCI) from 2000 to 2015 is used in this paper to analyze the SM spatial-temporal changes in the Yellow River Basin (YRB). Further, the Normalized Difference Vegetation Index (NDVI) and meteorological data are used to explore the relationships between SM and NDVI, precipitation, air temperature, and wind speed, respectively. The results showed that the overall trend of SM in the YRB was decreasing from southeast to northwest during the past 16 years. The upper reaches of the YRB had shown a humid trend, with a value of 0.00047 m3·m−3·year−1, mainly due to the increase in precipitation; there was an obvious drought trend in the middle reaches of the YRB, especially in Shanxi Province and Henan Province, with a value of −0.00030 m3·m−3·year−1, which may be owed to vegetation greening increasing the soil evaporation. Overall, it is determined that the main factors influencing SM changes were NDVI and precipitation, followed by air temperature and wind speed. This study can provide a scientific basis for the spatial-temporal distribution characteristics and attributions of SM in the YRB over a long time series. Full article
(This article belongs to the Special Issue Soil Moisture Monitoring: Measurement and Simulation)
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