Calibration and validation of the cosmic ray neutron rover for soil water mapping within two South African land classes

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dc.contributor.author Vather, Thigesh
dc.contributor.author Everson, Colin Stuart
dc.contributor.author Franz, Trenton E.
dc.date.accessioned 2020-05-11T14:47:40Z
dc.date.available 2020-05-11T14:47:40Z
dc.date.issued 2019-08-05
dc.description Supplementary material: Excel document containing the Cosmic Ray Neutron Rover (raw) data and the Hydro-sense soil water data for Surveys one, two, three and four, at the hygrophilous grassland and pine forest site. en_ZA
dc.description.abstract Knowledge of soil water at a range of spatial scales would further our understanding of the dynamic variable and its influence on numerous hydrological applications. Cosmic ray neutron technology currently consists of the Cosmic Ray Neutron Sensor (CRNS) and the Cosmic Ray Neutron Rover (CRNR). The CRNR is an innovative tool to map surface soil water across the land surface. This research assessed the calibration and validation of the CRNR at two survey sites (hygrophilous grassland and pine forest) within the Vasi area with an area of 72 and 56 ha, respectively. The assessment of the calibrations showed that consistent calibration values (N0) were obtained for both survey sites. The hygrophilous grassland site had an average N0 value of 133.441 counts per minute (cpm) and an average error of 2.034 cpm. The pine site had an average N0 value of 132.668 cpm and an average error of 0.375 cpm between surveys. The validation of CRNR soil water estimates with interpolated hydro-sense soil water estimates showed that the CRNR can provide spatial estimates of soil water across the landscape. The hydro-sense and CRNR soil water estimates had a R2 of 0.439 at the hygrophilous grassland site and 0.793 at the pine site. en_ZA
dc.description.department Plant Production and Soil Science en_ZA
dc.description.librarian am2020 en_ZA
dc.description.sponsorship The Partnerships 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), theWater Research Commission (WRC) and the South African Environmental Observation Network (SAEON). T.E.F. acknowledges the financial support of The DaughertyWater Food Global Institute, the Global Engagement o ce of the University of Nebraska-Lincoln and the USDA National Institute of Food and Agriculture, Hatch project #1009760. en_ZA
dc.description.uri https://www.mdpi.com/journal/hydrology en_ZA
dc.identifier.citation Vather T., Everson C. & Franz T.E. 2019, 'Calibration and validation of the cosmic ray neutron rover for soil water mapping within two South African land classes', Hydrology, vol. 6, no. 3, art. 65, pp. 1-21. en_ZA
dc.identifier.issn 2306-5338 (online)
dc.identifier.other 10.3390/hydrology6030065
dc.identifier.uri http://hdl.handle.net/2263/74535
dc.language.iso en en_ZA
dc.publisher MDPI en_ZA
dc.rights © 2019 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_ZA
dc.subject Cosmic ray neutron technology en_ZA
dc.subject Spatial scale en_ZA
dc.subject Calibration en_ZA
dc.subject Validation en_ZA
dc.subject Soil water en_ZA
dc.subject Hygrophilous grassland en_ZA
dc.subject Pine forest en_ZA
dc.subject Cosmic ray neutron sensor (CRNS) en_ZA
dc.subject Cosmic ray neutron rover (CRNR) en_ZA
dc.title Calibration and validation of the cosmic ray neutron rover for soil water mapping within two South African land classes en_ZA
dc.type Article en_ZA


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