The applicability of the cosmic ray neutron sensor to simultaneously monitor soil water content and biomass in an Acacia mearnsii forest

dc.contributor.authorVather, Thigesh
dc.contributor.authorEverson, Colin Stuart
dc.contributor.authorFranz, Trenton E.
dc.date.accessioned2021-05-03T08:32:43Z
dc.date.available2021-05-03T08:32:43Z
dc.date.issued2020-07
dc.description.abstractSoil water content is an important hydrological parameter, which is difficult to measure at a field scale due to its spatial and temporal heterogeneity. The Cosmic Ray Neutron Sensor (CRNS) is a novel and innovative approach to estimate area-averaged soil water content at an intermediate scale, which has been implemented across the globe. The CRNS is moderated by all hydrogen sources within its measurement footprint. In order to isolate the soil water content signal from the neutron intensity, the other sources of hydrogen need to be accounted for. The CRNS’s applications are not only limited to soil water content estimation, as it can potentially be used to monitor biomass. The Two-Streams clear-felling provided the unique opportunity to monitor the cosmic ray neutron intensities before, during, and after the clear-felling. The cadmium-difference method was used to obtain the pure thermal and epithermal neutron intensities from the bare and moderated detectors. The study concluded that the presence of biomass within the site reduced the epithermal neutron intensity by 12.43% and the N0 value by 13.8%. The use of the neutron ratio to monitor biomass was evaluated and changes in the neutron ratio coincided with biomass changes and resulted in a high correlation (R2 of 0.868) with the normalized difference vegetation index (NDVI) and (R2 of 0.817) leaf area index (LAI). The use of the CRNS to simultaneously monitor soil water content and biomass will be beneficial in providing more reliable soil water content estimates, provide biomass estimates at a field scale, and aid in understanding the dynamics between soil water content and vegetation.en_ZA
dc.description.departmentPlant Production and Soil Scienceen_ZA
dc.description.librarianpm2021en_ZA
dc.description.sponsorshipPartnerships for Enhanced Engagement in Research (USA); South African Agency for Science and Technology Advancement; United States Agency for International Development; University of KwaZulu-Natal; University of Pretoria; the National Research Foundation (NRF) of South Africa; the Department of Science and Technology (South African); the Water Research Commission (WRC); the South African Environmental Observation Network (SAEON); the Daugherty Water Food Global Institute, the Global Engagement office of the University of Nebraska-Lincoln and the USDA National Institute of Food and Agricultureen_ZA
dc.description.urihttps://www.mdpi.com/journal/hydrologyen_ZA
dc.identifier.citationVather, T.; Everson, C.S.; Franz, T.E. The Applicability of the Cosmic Ray Neutron Sensor to Simultaneously Monitor Soil Water Content and Biomass in an Acacia mearnsii Forest. Hydrology 2020, 7, 48. https://doi.org/10.3390/hydrology7030048.en_ZA
dc.identifier.issn2306-5338 (online)
dc.identifier.other10.3390/hydrology7030048
dc.identifier.urihttp://hdl.handle.net/2263/79737
dc.language.isoenen_ZA
dc.publisherMDPIen_ZA
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_ZA
dc.subjectCosmic ray neutron technologyen_ZA
dc.subjectSoil water contenten_ZA
dc.subjectBiomassen_ZA
dc.subjectClear-fellingen_ZA
dc.subjectNeutron ratioen_ZA
dc.subjectRemote sensingen_ZA
dc.subjectEpithermal neutronsen_ZA
dc.subjectThermal neutronsen_ZA
dc.subjectCadmium-difference methoden_ZA
dc.subjectCosmic ray neutron sensor (CRNS)en_ZA
dc.subjectNormalized difference vegetation index (NDVI)en_ZA
dc.subjectLeaf area index (LAI)en_ZA
dc.titleThe applicability of the cosmic ray neutron sensor to simultaneously monitor soil water content and biomass in an Acacia mearnsii foresten_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Vather_Applicability_2020.pdf
Size:
6.18 MB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: