Benchmarking of topsoil moisture estimation methods based on a field study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00641480" target="_blank" >RIV/86652079:_____/25:00641480 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43210/25:43926597

Result on the web

<a href="https://www.cambridge.org/core/journals/journal-of-agricultural-science/article/abs/benchmarking-of-topsoil-moisture-estimation-methods-based-on-a-field-study/2CB245646B8586D906809598E154F565#article" target="_blank" >https://www.cambridge.org/core/journals/journal-of-agricultural-science/article/abs/benchmarking-of-topsoil-moisture-estimation-methods-based-on-a-field-study/2CB245646B8586D906809598E154F565#article</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1017/S0021859625000036" target="_blank" >10.1017/S0021859625000036</a>

Result language

angličtina

Original language name

Benchmarking of topsoil moisture estimation methods based on a field study

Original language description

Extreme weather events caused by climate change, such as drought and heavy rainfall, will further increase in Central Europe in the near future. Resilient crop production requires in-depth knowledge of soil moisture (SM), its spatial and temporal variability and the dynamics of agriculturally used land. In the current study, different SM estimation methods, including measurement and simulation-based methods, were evaluated over a 17-ha experimental arable crop field with respect to their abilities to capture the spatial and temporal SM dynamics of within-field areas and their related uncertainty and spatial representativeness. The high-spatial resolution in-situ topsoil moisture measurements (50 m grid) were compared with the estimated SM from satellite-based remote sensing (S1ASCAT) and the simulated SM from three different crop water balance models (Agricultural Risk Information System [ARIS], AquaCrop and DSSAT). The evaluation revealed that the spatial variability in the experimental field obtained from the reference could not be captured by the alternative methods investigated because of the limitations of the grid size-related soil map information. Nevertheless, the analysis revealed a very good temporal correlation of SM dynamics with the field area average across all approaches, with AquaCrop and ARIS at a soil depth of 0-10 cm and S1ASCAT soil-water index 05 achieving a R2 and a Kling-Gupta efficiency >0.80. These results indicate the added value of complementary methods for estimating SM to reduce spatial and temporal uncertainties in the estimated topsoil water content.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

<a href="/en/project/EH22_008%2F0004635" target="_blank" >EH22_008/0004635: AdAgriF - Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Agricultural Science

ISSN

0021-8596

e-ISSN

1469-5146

Volume of the periodical

163

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

17

Pages from-to

71-87

UT code for WoS article

001420483100001

EID of the result in the Scopus database

2-s2.0-105002269837