首页|Scanning Mode Application of Neutron-Gamma Analysis for Soil Carbon Mapping

Scanning Mode Application of Neutron-Gamma Analysis for Soil Carbon Mapping

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Soil carbon mapping is extremely useful in assessing the effect of land management practices on soil carbon storage.Applications of neutron-gamma analysis in scanning mode for mapping of soil carbon are discussed.A Global Positioning System (GPS) device and softwares required to simultaneously acquire gamma signals and geographical positions during scanning operations were added to an existing measurement system.The reliability of soil carbon measurements in scanning mode was demonstrated to be in agreement with results acquired from static mode.The error analysis indicated that scanning measurements can be conducted with the same accuracy as static measurements in approximately one fourth the time.To obtain results suitable for mapping analogous to traditional chemical analyses (i.e.,± 0.5 in weight percent or ± 0.5 w％),scanning time over a given site should be ca.15 min using the current measurement system configuration.Based on this measurement time,a reasonable towing speed of 3-5 km h-1,the necessity for complete site coverage during scanning,the number of sites (within the surveyed field),and the required total measurement time can be estimated.Soil carbon measurements for 28 field sites (total area ca.2.5 ha) were conducted in ca.8 h.Based on acquired data,a soil carbon distribution map was constructed utilizing various softwares.The surveyed field area included an asphalt road that had carbon readings higher than the surrounding land.The clarity with which these carbon-rich zones were delineated on the constructed map represents evidence supporting the veracity of this method.Neutron-gamma analysis technology can greatly facilitate timely construction of soil carbon maps.

ArcGISGoogle Earth ProIGORscanning technologysoil carbon distribution mapsoil carbon storage

Aleksandr KAVETSKIY、Galina YAKUBOVA、Nikolay SARGSYAN、Clyde WIKLE、Stephen A.PRIOR、Henry Allen TORBERT、Bryan A.CHIN

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United States Department of Agriculture-Agricultural Research Service(USDA-ARS), National Soil Dynamics Laboratory, Auburn AL 36832 USA

Auburn University Detection and Food Safety Center, Samuel Ginn College of Engineering, Auburn AL 36849 USA

authors are indebted to Mr.Barry G.Dorman,Mr.Robert A.Icenogle,Dr.Juan B.Rodriguez,Mr.Morris G.Welch,andMr.Marlin R.Siegford in the USDA-ARS National Soil Dynamics Laboratory for technical assistance in experimental measurementsand to Mr.Dexter LaGrand in the USDA-ARS National Soil Dynamics Laboratory for assistance with software installationWe thank XIA LLC for allowing the use of their electronics and detectors in this projectThis work was supported by the National Institute of Food and Agriculture (NIFA) Research Grant

ALA2016-67021-24417

2019

土壤圈(英文版)
中国土壤学会,中科院南京土壤研究所和土壤与农业可持续发展国家重点实验室

土壤圈(英文版)

CSTPCDCSCDSCI
影响因子：0.477
ISSN：1002-0160
年,卷(期)：2019.29(3)
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