Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review | |
Rasheed, Muhammad Waseem7,8; Tang, Jialiang7,8; Sarwar, Abid6; Shah, Suraj7; Saddique, Naeem6; Khan, Muhammad Usman5; Khan, Muhammad Imran6; Nawaz, Shah4; Shamshiri, Redmond R.3; Aziz, Marjan2 | |
刊名 | SUSTAINABILITY |
2022-09-01 | |
卷号 | 14期号:18页码:23 |
关键词 | surface soil moisture volumetric-tensiometric methods moisture sensors remote sensing methods deep learning methods |
ISSN号 | 2071-1050 |
DOI | 10.3390/su141811538 |
产权排序 | 1 |
英文摘要 | The amount of surface soil moisture (SSM) is a crucial ecohydrological natural resource that regulates important land surface processes. It affects critical land-atmospheric phenomena, including the division of energy and water (infiltration, runoff, and evaporation), that impacts the effectiveness of agricultural output (sensible and latent heat fluxes and surface air temperature). Despite its significance, there are several difficulties in making precise measurements, monitoring, and interpreting SSM at high spatial and temporal resolutions. The current study critically reviews the methods and procedures for calculating SSM and the variables influencing measurement accuracy and applicability under different fields, climates, and operational conditions. For laboratory and field measurements, this study divides SSM estimate strategies into (i) direct and (ii) indirect procedures. The accuracy and applicability of a technique depends on the environment and the resources at hand. Comparative research is geographically restricted, although precise and economical-direct measuring techniques like the gravimetric method are time-consuming and destructive. In contrast, indirect methods are more expensive and do not produce measurements at the spatial scale but produce precise data on a temporal scale. While measuring SSM across more significant regions, ground-penetrating radar and remote sensing methods are susceptible to errors caused by overlapping data and atmospheric factors. On the other hand, soft computing techniques like machine/deep learning are quite handy for estimating SSM without any technical or laborious procedures. We determine that factors, e.g., topography, soil type, vegetation, climate change, groundwater level, depth of soil, etc., primarily influence the SSM measurements. Different techniques have been put into practice for various practical situations, although comparisons between them are not available frequently in publications. Each method offers a unique set of potential advantages and disadvantages. The most accurate way of identifying the best soil moisture technique is the value selection method (VSM). The neutron probe is preferable to the FDR or TDR sensor for measuring soil moisture. Remote sensing techniques have filled the need for large-scale, highly spatiotemporal soil moisture monitoring. Through self-learning capabilities in data-scarce areas, machine/deep learning approaches facilitate soil moisture measurement and prediction. |
资助项目 | Key Science and Technology Projects in Sichuan Province[2020JDR0404] |
WOS关键词 | TIME-DOMAIN REFLECTOMETRY ; SURFACE-ENERGY BALANCE ; REMOTE-SENSING DATA ; WATER-CONTENT ; HYDRAULIC CONDUCTIVITY ; SPATIAL VARIABILITY ; DIFFERENT SCALES ; NEUTRON PROBE ; FIELD ; TEMPERATURE |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000856998400001 |
资助机构 | Key Science and Technology Projects in Sichuan Province |
内容类型 | 期刊论文 |
源URL | [http://ir.imde.ac.cn/handle/131551/56845] |
专题 | 成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室 |
通讯作者 | Tang, Jialiang; Sarwar, Abid; Shamshiri, Redmond R. |
作者单位 | 1.Bahauddin Zakariya Univ, Dept Agr Engn, Multan 60800, Pakistan 2.Barani Agr Res Inst, Dept Agr Engn, Chakwal 48800, Pakistan 3.Leibniz Inst Agr Engn & Bioecon, Dept Engn Crop Prod, D-14469 Potsdam, Germany 4.Univ Agr Faisalabad, Inst Soil & Environm Sci, Faisalabad 38000, Pakistan 5.Univ Agr Faisalabad, Dept Energy Syst Engn, Faisalabad 38000, Pakistan 6.Univ Agr Faisalabad, Dept Irrigat & Drainage, Faisalabad 38000, Pakistan 7.Univ Chinese Acad Sci UCAS, Coll Resources & Environm, Beijing 100049, Peoples R China 8.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Ecol Regulat, Chengdu 610229, Peoples R China |
推荐引用方式 GB/T 7714 | Rasheed, Muhammad Waseem,Tang, Jialiang,Sarwar, Abid,et al. Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review[J]. SUSTAINABILITY,2022,14(18):23. |
APA | Rasheed, Muhammad Waseem.,Tang, Jialiang.,Sarwar, Abid.,Shah, Suraj.,Saddique, Naeem.,...&Sultan, Muhammad.(2022).Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review.SUSTAINABILITY,14(18),23. |
MLA | Rasheed, Muhammad Waseem,et al."Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review".SUSTAINABILITY 14.18(2022):23. |
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