A Review on Soil Moisture Dynamics Monitoring in Semi-Arid Ecosystems: Methods, Techniques, and Tools Applied at Different Scales

Author:

Duarte Efrain12ORCID,Hernandez Alexander1ORCID

Affiliation:

1. Agricultural Research Service (ARS) Forage and Range Research Laboratory (FRR), United States Department of Agriculture (USDA), Logan, UT 84322, USA

2. SCINet Program and ARS AI Center of Excellence, Office of National Programs, USDA Agricultural Research Service, Beltsville, MD 20705, USA

Abstract

Soil moisture (SM) plays a crucial role in land–atmosphere interaction systems, directly influencing evapotranspiration, photosynthesis, and the water dynamics of the soil surface. Invariably, SM is negatively impacted by disturbances such as fires, which are becoming more frequent across semi-arid ecosystems. Different ecological restoration activities have been implemented to mitigate the impacts of disturbance that, when left untreated, can worsen the effects of recurrent droughts and accelerate desertification and land degradation processes. To measure and monitor the dynamics of SM, advanced techniques and tools have been developed that integrate remote sensing and in situ measurement. This review encompasses various themes on the application of remote sensing for measuring and monitoring SM dynamics in semi-arid ecosystems at different scales. We focused our analysis on the western United States region and thus have developed a review on the following topics: (a) the different data sources (e.g., satellite, unmanned aerial vehicles), (b) approaches to measure field-based SM, and (c) algorithms and techniques to model SM at different scales. We summarize these topics by emphasizing repeatable approaches for the transparent estimation of this variable, identifying current data gaps, and highlighting future trends to fulfill the expanding demand for SM monitoring strategies.

Funder

US Department of Agriculture (USDA) Agricultural Research Service’s SCINet Program and AI Center of Excellence

Publisher

MDPI AG

Reference104 articles.

1. Seasonal variations in the influence of vegetation cover on soil water on the loess hillslope;Shen;J. Mt. Sci.,2020

2. Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future;Li;Earth-Sci. Rev.,2021

3. Carbon cycle. The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink;Raupach;Science,2015

4. Muñoz, M.Á., and Zornoza, R. (2018). Chapter 23—Climate-Smart Soil Management in Semiarid Regions. Soil Management and Climate Change, Academic Press.

5. Assessing woody vegetation trends in Sahelian drylands using MODIS based seasonal metrics;Brandt;Remote Sens. Environ.,2016

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