EM38大地电导率仪-土壤特性
禹城市耕地土壤盐分与有机质的指示克里格分析

生态学报2011,31(8):2196—2202Acta Ecologica Sinica禹城市耕地土壤盐分与有机质的指示克里格分析杨奇勇,杨劲松*,余世鹏(中国科学院南京土壤研究所,江苏南京210008)摘要:针对目前黄淮海平原盐渍土改良区存在的土壤盐碱、瘠薄等障碍问题,以该区域典型县域禹城市为研究对象,综合运用GIS和非参数地质统计学的指示克立格法,对0-20cm深度的耕地土壤盐分和有机质的空间变异性进行了分析,并给出了土壤盐分和有机质满足一定阈值条件的概率分布图。
结果表明,土壤盐分和有机质采用指示克里格方法都可以获得较为稳健的变异函数;受结构性因素与随机性因素共同影响,它们的指示半方差均表现为中等强度的空间自相关性,且单元指示克里格与多元指示克里格插值结果表明,土壤盐分、有机质的概率分布存在空间上的规律性与相似性;在空间分布上,研究区域土壤盐分含量高和有机质含量低的高概率区域主要分布在西北部的张庄镇、西部的房寺镇以及南部的莒镇乡等地区,该区域有一定的次生盐渍化风险;而土壤盐分含量高和有机质含量低的低概率分布区域主要分在徒骇河流经的河滩高地,土壤类型为褐土化潮土,是研究区域的主要高产区,基本无盐渍化。
研究获取的综合指示概率分布图和概率风险评价对土壤可持续利用管理具有重要意义,为区域土壤质量的提高和土壤障碍因子消减提供参考。
关键词:土壤;盐分;有机质;空间变异;指示克里格Evaluation on spatial distribution of soil salinity and soil organic matter by indicator Kriging in Yucheng CityYANG Qiyong,YANG Jingsong*,YU ShipengInstitute of Soil Science,Chinese Academy of Sciences,Nanjing210008,ChinaAbstract:Soil salinization and low soil fertility are the key limiting factors for soil improvement in the Huanghuaihai Plain at present.To evaluate the spatial variation of soil salinization and fertility,we used GIS and indicator Kriging of nonparametric geostatistics to analyze the spatial distribution of soil salinity content and organic matter content in top20cm soils for a typical county located in Huanghuaihai Plain,Yucheng City,northwest of Shandong province.The probability maps for soil salinity content and organic matter content that met the given thresholds(soil salinity threshold is0.29dS/m,organic matter threshold is15g/kg)were presented.The results indicated that the indicator Kriging method was able to produce stable semivariograms for both soil salinity content(greater than0.29dS/m)and organic matter content(less than 15g/kg),which exhibited moderate spatial autocorrelation due to the combined effects of structural and stochastic factors in our study area.Both univariate indicator Kriging and multiple-variable indicator Kriging(soil salinity greater than0.29dS/ m and organic matter less than15g/kg)interpolation maps showed that the probability distribution of soil salinity and organic matter was regular and similar in spatial variation.Specifically,high soil salinity content and low soil organic matter content occurred at northwest(Zhangzhuang Town),west(Fangsi Town)and south(Juzheng Town)of the study area,in which the soils to some degree suffered from secondary salinization risk.In addition,high soil salinity content and low soil organic matter content occurred at the high flood plain along the Tuhai river,the major high-yield region in the study area where the soil was classified as alluvial Cinnamon soil and suffered from low salinization risk.Since the integrative probability map as well as its risk assessments are significantly valuable to the management and sustainable use of soil基金项目:公益性行业(农业)科研专项经费项目(200903001);国家自然科学基金项目(40771097);国家科技支撑计划项目课题(2006BAD05B02,2006BAD05B04);国家“863”计划重点项目课题(2007AA091702)收稿日期:2010-04-12;修订日期:2010-06-28*通讯作者Corresponding author.E-mail:jsyang@issas.ac.cn.resource,our results are of great use to the soil improvement in the study area.Key Words:soil;salinity;organic matter;spatial variability;indicator Kriging黄淮海平原是我国中低产田治理的重点区域,区内存在的盐碱、瘠薄、风沙等障碍,严重地制约了农业的可持续发展。
EM-38大地电导率仪

EM38-MK2大地电导率仪
应用范围:
EM38-MK2用于浅部探测,尤其是对于农业垦殖层的探测,测定大地电导率对确定土壤的性质,诸如盐和水的含量等,特别有用。
也可用于考古和近地表的土壤磁化率值的测定。
EM38能在不与土壤接触的情况下测量不同深度的电阻率值,通过田间定位,定点测量,可对区域盐泽化土壤区域分布做出快速预测,比常规的方法提速100倍,被广泛用于土壤的盐分普查。
也能对土壤水分,盐分,粘粒含量的预测。
当接收线圈为垂直偶极方向时,可测深度范围为0.75到1.5米;当接收线圈为水平偶极方向时,可测深度范围为0.75到0.375米。
技术参数
测量值视电导率(mS/ m);
二次场与一次场同相位比(ppt)
接发线框距1到0.5m
KHz
工作频率 14.5
测量范围电导率:1000ms/m;
实分量:1米时± 29 ppt;0.5米时± 7
测量分辨率满量程的+/ -0.1%
测量精度 30ms/m时 +/ -5%
噪音水平电导率:0.5ms/m;实分量:0.02ppt
数据输出 RS-232串行端口,蓝牙
电源 9v一次性电池,外置充电电池组
工作温度 -40°C至+50°C
尺寸仪器:107×17×8cm
航运:114×20×26cm
重量仪器:5.4kg
运输:14kg。
EM38——新型雷达土壤检测器初登南非

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加拿大GEONICS公司感应电磁法大地电导率仪

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图 25 EM31 视电导率曲线图
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:视电导率曲线
:视磁化率曲线
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图 7 揭露的墓地
由图 6 视电导率平面图可见,矩形蓝色区域为低电导率区,推断为以往的公墓;由图 7 揭露情况可见,探测结果与实际情况相吻合。 2. EM38-MK2 探测土壤厚度
土壤属性调查的传统方法是在采样点上使用采样机械采集土壤样本,然后在实验室对 土壤各种属性进行分析测定,从而得到相关数据。传统采样方法的测量周期长、检测过程繁 琐、劳动强度大,在实际工作中由于受到财力、物力、人力的限制,常无法采集足够数量的 样品,因此无法保证精度。采用较易获得的土壤视电导率以表征土壤信息是快速获得土壤更 多定量化信息的一条行之有效的途径。以下实例是采用 EM38-MK2 对土壤厚度进行的探测结 果。
地基开挖前,为评估重力桩的止水效果,采用 EM34-3 感应式大地电导率仪对重力桩进 行了探测。
图 30 垂直偶极视电导率断面图 由图 30 可知:根据渗漏特点,可将渗漏位置视为高导圆柱体。高导圆柱体纵断面视电 导率曲线异常形态为“正-负-正”峰值形态,根据异常特点,勾画了上图红色圆形区域作为 渗漏点位置。
图 26 EM31 视电导率平面等值线图
N/m
不同土壤电导率测量方法对土壤盐渍化表征的影响

不同土壤电导率测量方法对土壤盐渍化表征的影响张晓光;曾路生;张志辉;刘岩;宋洋;李旭霖【摘要】为比较目前常用的室外便捷式土壤电导率测试仪和室内实验室常用方法之间的差异,本文以黄河三角洲典型县域土壤样品为研究对象,选用了HH2/WET土壤三参数速测仪和室内DDS-308A电导仪测定的电导率数据进行了传统统计学方法以及空间统计方法多方面的比较.结果表明,两种方法所测得的电导率数据存在较大误差,速测结果比室内测量结果高出一个数量级.两类数据作差,误差能够集中在一定范围内,说明误差具有稳定性.在测量数据的准确性方面,DDS-308A电导仪室内的测定数据较为精准.但从空间表达预测方面来看,HH2/ WET速测仪测定的数据预测结果既能体现研究区土壤盐分整体分布趋势,又能刻画细节部分,所以利用速测仪测量土壤盐分更具有优势.由于两类数据存在显著的正相关关系,因而可以根据两者关系构建方程(ECa=0.089×ECb +0.526)对速测数据进行校正后使用,这样既保证了点位精度,又能够详细刻画空间分布特征.【期刊名称】《青岛农业大学学报(自然科学版)》【年(卷),期】2019(036)001【总页数】5页(P56-60)【关键词】土壤电导率;空间分布;克里格;方法比较【作者】张晓光;曾路生;张志辉;刘岩;宋洋;李旭霖【作者单位】青岛农业大学资源与环境学院,山东青岛266109;青岛农业大学资源与环境学院,山东青岛266109;青岛农业大学资源与环境学院,山东青岛266109;青岛农业大学资源与环境学院,山东青岛266109;青岛农业大学资源与环境学院,山东青岛266109;青岛农业大学资源与环境学院,山东青岛266109【正文语种】中文【中图分类】S158土壤盐渍化程度一般用土壤的含盐量来衡量[1]。
对含盐量测量时,可以采用残渣烘干法,也可以采用八大盐分离子加和法求得。
由于土壤电导率和含盐量有着极其密切的关系,所以土壤含盐量的高低也可以用土壤电导率来代替表达[1-2],而且这一方法在目前是一种较为普遍的测量方法。
农业信息采集与处理—土壤信息的采集与处理

土壤信息的采集与处理
二、土壤养分成分的监测
(四)土壤盐分的监测 大地电导仪是快速勘查大面积土壤电导率的专门仪器。 土壤电导率数据包含了土壤含盐量、土壤水分、有机质含量、土壤压实度、质地结构、
空隙度等土壤理化信息。 接触式土壤电导率传感器是一种电极式传感器,采用电流-电压四端法,将恒流电源、
电压表、电极和土壤构成回路,用车辆牵引并集成GPS系统,用于测定土壤电导率。
环境的特点,而且其监测点点俱到, 较容易画出土壤不同含水量区域之间的 界线,便于对不同含水量区域面积的统计和分析,已成为一种监测土壤含水 量的全新方法。
土壤信息的采集与处理
一、土壤含水量的监测
(六)土壤水分遥感监测
裸地,可利用热红外遥感土壤水分,其内容包括:一是通过热红 外遥感方法获取的热图像数据推算地表温度的时空分布,二是确 定土壤水分含量与地表温度之间的定量关系,推算土壤湿土壤养分成分的监测
(二)土壤养分成分监测——ISFET法 其离子的主要探测元件为固态或液态的离子敏感膜,选择不同的敏感膜,可以测定不同的离子浓度。 ISFET主要H+、K+、Na+、Ca2+、Cl-、F-、Br-、I-、CN-、Ag+、S2-、NH4+等几种。 也可以将H+、K+、Na+、Cl-等离子敏感膜集成在一个芯片上,通过模拟开关使4个ISFET输出 信号,分别测定离子的浓度。 对于土壤营养监测来说,ISFET器件的技术关键是在于离子选择性敏感膜的研制。 可以将多ISFET传感器集成到FIA(Flow Injection Analysis)系统中进行土壤营养成分的监测。也 可以用ISFET连续检测土壤pH值。
土壤信息的采集与处理
二、土壤养分成分的监测
EM大地电导率仪土壤特性

Electrical conductivity measure-ments have been used for years to determine salinity and moisture in soils. Probes were inserted directly into the soil to determine how well the soil conducted an applied current. This process was slow and labor-intensive and was usually reserved for scientific studies.A more recent technique for measuring conductivity is electromagnetic induction (EM), a non-invasive, non-destructive sampling method. No probes are required using EM, and measurements can be done quickly and inexpensively.How Does EM Work?W e have used the EM-38, a commer-cially available instrument from Geonics Ltd., Ontario, Canada. The EM-38 is about 3 ft. long and is light-weight enough to be carried in one hand. The unit is powered by a single 9 volt battery that lasts approximately 16 to 20 hours.The principle of operation of the EM-38is shown in the drawing in Figure 1.The transmitting coil induces a mag-netic field that varies in strength with depth in the soil. The relative strength of the magnetic field is illustrated by the relative diameter of the circles in Figure1. The magnetic field is strongest about 15 inches below the soil surface and has an effective sensing depth of about 5 ft. A receiving coil reads primary and secondary “induced” currents in the soil.It is the relationship between these pri-mary and secondary currents that mea-sures soil conductivity. In Figure 1,the thicker circles illustrate soils that are bet-ter conductors of electrical current.Clayey soils have a higher electrical con-ductivity than coarser textured soils, so when a clay horizon is nearer the surface (b in Figure 1), the EM sensor reading is higher. Deeper topsoils having a clay hori-zon further below the soil surface (a in Figure 1) are less conductive to electri-cal current and have lower EM readings.How Are EM Measurements Used?Electromagnetic induction technolo-gy was originally developed for the min-ing industry, and has been used in miner-al, oil, and gas exploration, groundwater studies, and archaeology. In these appli-cations, differences in conductivity of subsurface layers of rock or soil may indi-cate stratified layers or voids that could be of interest. In agriculture, the EM sen-sor was first used to measure soluble salts and soil moisture. Other agricultural applications now include determining soil mapping units, estimation of topsoil depth in claypan soils, depth of sand deposition after river flooding, estimation of herbi-cide degradation, and crop productivity.For each of the applications described above, a relationship must be established between the EM sensor reading and the soil feature of interest. Once the relation-ship is established, however, the readings can be gathered rapidly.A mobile EM data collection unit is shown in Figure 2. The EM sensor is mounted on a wooden trailer away from metallic objects and vehicle engine inter-ference that can affect EM readings. A differential global positioning system (DGPS) receiver is mounted on the vehi-cle, with an analog-to-digital converter and a computer that records EM sensorFigure 2.Mobile EM-38 sensor unit is pulled behind a four-wheel ATV,equipped with analog/digital converter, laptop computer, and DGPS antenna.EM-38SensorDGPS antennaLaptop computerAnalog/Digital converterM I S S O U R IB y J. G l e n n D a v i s , N e w e l l R. K i t c h e n , K e n n e t h A. S u d d u t h a n d S c o t t T. D r u m m o n dUsing Electromagnetic Induction to Characterize SoilsResearchers are studying use of electro-magnetic induction as a convenient and low cost method for measuring variability beneath the surface, particularly for clay-pan soils. The information may help iden-tify optimum nitrogen (N) rates for vari-ous field areas.Figure 1.EM-38 principle of operation in soils.lished for a whole field, and may be adjusted for previous crop, organic matter content,and/or residual nitrate.Missouri studies have shown that yield goal potential is related to topsoil depth:Yield goal = 98 bu/A + 2.2 x topsoil depth (inches).W e used this relationship to produce a map of yield goal.From this yield goal map we made an N application map. In Figure 5, the EM map is compared to an aerial photo of corn crop cover in late July.Patterns of low EM sensor readings (deeper topsoil)match patterns of darker green crop cover. Areas of shallower topsoil (high EM sensor read-ings) are also areas where cropcover is less dense and yellow-ing due to moisture stress.Using the photo of crop cover,it is easy to see differences in potential productivity within this field and how well patterns of potential productivity are correlated to soil conductivityreadings, using the EM-38.Other work with the EM sensor is ongoing with alluvial and loess soils. These soils do not have the abrupt layer boundaries characteristic of claypan soils. However, soil texture can be related to EM readings and work is continu-ing to relate these readings tocrop response.Dr. Davis is Soil Scientist and Extension Assistant Professor, Univer-sity of Missouri-Columbia; Dr. Kitchen is Soil Scientist, USDA-ARS; Dr.Sudduth is Agricultural Engineer,USDA-ARS; Mr. Drummond is Scientific Programmer/Analyst, Uni-versity of Missouri-Columbia.Reprinted from Better Crops with Plant Food , 1997, No. 4. Published by the Potash & Phosphate Institute (PPI), 655 Engineering Drive, Suite 110, Norcross, GA 30092-2843.Reference Number 323075/98116.readings along with a DGPS ing this equipment, data from whole fields can be taken quickly, and then maps of soil conductivity can be made.Data for a 20-acre field can be collected in about one hour.EM Research on Claypan SoilsClaypan soils are important agricul-tural soils in the southern Corn Belt, cov-ering 10 million acres in seven states.They comprise a significant portion of cropland in Missouri, and can present farmers with difficult management choic-es. They have an abrupt and marked increase in clay content between the upper soil layer and subsoil. The clay content increases by at least 20 percent,and this layer of high clay soil impedes the movement of water and air, restricting the growth of plant roots.Topsoil depth and corn grain yield measured along a field transect is shown in Figure 3. The depth to the claypan layer varies from a few inches to more than 40 inches, and it is apparent that grain yield is related to the depth to the claypan layer. Within a field, the varia-tion in depth to the claypan can be seen by spatial patterns in crop water stress.The areas having shallow topsoils (often on eroded side-slopes) are the first to have water-stressed plants. Clearly, hav-ing information on the depth of topsoil would be a valuable tool in tailoring man-agement for crop needs.A management example using N fer-tilizer for corn production is shown in Figure 4. The first step is to collect EM sensor data for the field using the mobile EM unit. In this case, transects for EM data were taken at a very close interval (about 15 ft.). In most cases, a transect interval of 40 to 60 ft. gives sufficient data density to map the field. For select-ed points in the field, topsoil depth (mea-sured using a soil probe) and soil con-ductivity (by EM) were determined con-currently. From these data points, a regression equation between EM sensor reading and topsoil depth was calculated to produce a map of topsoil depth for the field. Finally, an N recommendation map was made based on topsoil depth (c in Figure 4). Nitrogen recommendations in Missouri and other Corn Belt states often use expected yield (or yield goal) as one of the parameters for estimating crop N needs. Y ield goals are usually estab-Figure 3.Corn yields and depth to claypan layer along atransect at Centralia, Missouri.Figure 4.EM-38 soil conductivity, topsoil depth, and Nrecommended for corn at Centralia, Missouri.Low EM High EM4 12 20 28 36 inches85 115 145 175 205Figure 5.EM-38 sensor readings (a) and aerial corn cropcover photo (July 25, 1997) at Centralia, Missouri site.。
电磁感应式大地电导率仪在土壤学领域中的应用研究

电磁感应式大地电导率仪在土壤学领域中的应用研究作者:刘虎王振宇魏占民张金龙尹春艳来源:《天津农业科学》2009年第01期摘要:介绍了电磁感应式大地电导率仪的工作原理,回顾和总结了这种仪器在土壤学领域中土壤水分、盐分、粘粒含量等的测定预测方面的研究现状,最后展望了电磁感应式土壤性质测评技术与3S技术相结合后带来的土壤信息动态变化方面的革命。
关键词:磁感式大地电导率仪;土壤信息;3S技术中图分类号:S153.2 文献标识码:A文章编号:1006-6500(2009)01-0055-04Applied Research of Electromagnetic Induction Type Soil Conductivity Meter in the Filed of Soil ScienceLIU Hu1,2,WANG Zhen-yu1,WEI Zhan-min2,ZHANG Jin-long1,YIN Chun-yan3(1.Tianjin Teda Landscape Architecture Company Limited,Tianjin 300457,China;2.Water Conservancy and Civil Engineering College,Inner Mongolia Agriculture University,Hohhot, Inner Mongolia 010018,China;3.Inner Mongolia Wushen Soil and Water Conservation Bureau,Erdos, Inner Mongolia 017300,China)Abstract:The working principle of electromagnetic induction type soil conductivity meter was first explained. Then, the using of this instrument on measuring the soil moisture, the salinity, the clay content and so on in the field of soil science was reviewed and summarized. Finally, the revolution after combination technology of electromagnetic induction measuring and appraising of soil nature with 3S technology was forecasted.Key words: electromagnetic induction type soil electrical conductivity meter;soil information;3S technology土壤属性调查的传统方法是在采样点上使用采样机械采集土壤样本,然后在实验室对土壤各种属性进行分析测定,从而得到相关数据。
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Electrical conductivity measure-ments have been used for years to determine salinity and moisture in soils. Probes were inserted directly into the soil to determine how well the soil conducted an applied current. This process was slow and labor-intensive and was usually reserved for scientific studies.A more recent technique for measuring conductivity is electromagnetic induction (EM), a non-invasive, non-destructive sampling method. No probes are required using EM, and measurements can be done quickly and inexpensively.How Does EM Work?W e have used the EM-38, a commer-cially available instrument from Geonics Ltd., Ontario, Canada. The EM-38 is about 3 ft. long and is light-weight enough to be carried in one hand. The unit is powered by a single 9 volt battery that lasts approximately 16 to 20 hours.The principle of operation of the EM-38is shown in the drawing in Figure 1.The transmitting coil induces a mag-netic field that varies in strength with depth in the soil. The relative strength of the magnetic field is illustrated by the relative diameter of the circles in Figure1. The magnetic field is strongest about 15 inches below the soil surface and has an effective sensing depth of about 5 ft. A receiving coil reads primary and secondary “induced” currents in the soil.It is the relationship between these pri-mary and secondary currents that mea-sures soil conductivity. In Figure 1,the thicker circles illustrate soils that are bet-ter conductors of electrical current.Clayey soils have a higher electrical con-ductivity than coarser textured soils, so when a clay horizon is nearer the surface (b in Figure 1), the EM sensor reading is higher. Deeper topsoils having a clay hori-zon further below the soil surface (a in Figure 1) are less conductive to electri-cal current and have lower EM readings.How Are EM Measurements Used?Electromagnetic induction technolo-gy was originally developed for the min-ing industry, and has been used in miner-al, oil, and gas exploration, groundwater studies, and archaeology. In these appli-cations, differences in conductivity of subsurface layers of rock or soil may indi-cate stratified layers or voids that could be of interest. In agriculture, the EM sen-sor was first used to measure soluble salts and soil moisture. Other agricultural applications now include determining soil mapping units, estimation of topsoil depth in claypan soils, depth of sand deposition after river flooding, estimation of herbi-cide degradation, and crop productivity.For each of the applications described above, a relationship must be established between the EM sensor reading and the soil feature of interest. Once the relation-ship is established, however, the readings can be gathered rapidly.A mobile EM data collection unit is shown in Figure 2. The EM sensor is mounted on a wooden trailer away from metallic objects and vehicle engine inter-ference that can affect EM readings. A differential global positioning system (DGPS) receiver is mounted on the vehi-cle, with an analog-to-digital converter and a computer that records EM sensorFigure 2.Mobile EM-38 sensor unit is pulled behind a four-wheel ATV,equipped with analog/digital converter, laptop computer, and DGPS antenna.EM-38SensorDGPS antennaLaptop computerAnalog/Digital converterM I S S O U R IB y J. G l e n n D a v i s , N e w e l l R. K i t c h e n , K e n n e t h A. S u d d u t h a n d S c o t t T. D r u m m o n dUsing Electromagnetic Induction to Characterize SoilsResearchers are studying use of electro-magnetic induction as a convenient and low cost method for measuring variability beneath the surface, particularly for clay-pan soils. The information may help iden-tify optimum nitrogen (N) rates for vari-ous field areas.Figure 1.EM-38 principle of operation in soils.lished for a whole field, and may be adjusted for previous crop, organic matter content,and/or residual nitrate.Missouri studies have shown that yield goal potential is related to topsoil depth:Yield goal = 98 bu/A + 2.2 x topsoil depth (inches).W e used this relationship to produce a map of yield goal.From this yield goal map we made an N application map. In Figure 5, the EM map is compared to an aerial photo of corn crop cover in late July.Patterns of low EM sensor readings (deeper topsoil)match patterns of darker green crop cover. Areas of shallower topsoil (high EM sensor read-ings) are also areas where cropcover is less dense and yellow-ing due to moisture stress.Using the photo of crop cover,it is easy to see differences in potential productivity within this field and how well patterns of potential productivity are correlated to soil conductivityreadings, using the EM-38.Other work with the EM sensor is ongoing with alluvial and loess soils. These soils do not have the abrupt layer boundaries characteristic of claypan soils. However, soil texture can be related to EM readings and work is continu-ing to relate these readings tocrop response.Dr. Davis is Soil Scientist and Extension Assistant Professor, Univer-sity of Missouri-Columbia; Dr. Kitchen is Soil Scientist, USDA-ARS; Dr.Sudduth is Agricultural Engineer,USDA-ARS; Mr. Drummond is Scientific Programmer/Analyst, Uni-versity of Missouri-Columbia.Reprinted from Better Crops with Plant Food , 1997, No. 4. Published by the Potash & Phosphate Institute (PPI), 655 Engineering Drive, Suite 110, Norcross, GA 30092-2843.Reference Number 323075/98116.readings along with a DGPS ing this equipment, data from whole fields can be taken quickly, and then maps of soil conductivity can be made.Data for a 20-acre field can be collected in about one hour.EM Research on Claypan SoilsClaypan soils are important agricul-tural soils in the southern Corn Belt, cov-ering 10 million acres in seven states.They comprise a significant portion of cropland in Missouri, and can present farmers with difficult management choic-es. They have an abrupt and marked increase in clay content between the upper soil layer and subsoil. The clay content increases by at least 20 percent,and this layer of high clay soil impedes the movement of water and air, restricting the growth of plant roots.Topsoil depth and corn grain yield measured along a field transect is shown in Figure 3. The depth to the claypan layer varies from a few inches to more than 40 inches, and it is apparent that grain yield is related to the depth to the claypan layer. Within a field, the varia-tion in depth to the claypan can be seen by spatial patterns in crop water stress.The areas having shallow topsoils (often on eroded side-slopes) are the first to have water-stressed plants. Clearly, hav-ing information on the depth of topsoil would be a valuable tool in tailoring man-agement for crop needs.A management example using N fer-tilizer for corn production is shown in Figure 4. The first step is to collect EM sensor data for the field using the mobile EM unit. In this case, transects for EM data were taken at a very close interval (about 15 ft.). In most cases, a transect interval of 40 to 60 ft. gives sufficient data density to map the field. For select-ed points in the field, topsoil depth (mea-sured using a soil probe) and soil con-ductivity (by EM) were determined con-currently. From these data points, a regression equation between EM sensor reading and topsoil depth was calculated to produce a map of topsoil depth for the field. Finally, an N recommendation map was made based on topsoil depth (c in Figure 4). Nitrogen recommendations in Missouri and other Corn Belt states often use expected yield (or yield goal) as one of the parameters for estimating crop N needs. Y ield goals are usually estab-Figure 3.Corn yields and depth to claypan layer along atransect at Centralia, Missouri.Figure 4.EM-38 soil conductivity, topsoil depth, and Nrecommended for corn at Centralia, Missouri.Low EM High EM4 12 20 28 36 inches85 115 145 175 205Figure 5.EM-38 sensor readings (a) and aerial corn cropcover photo (July 25, 1997) at Centralia, Missouri site.。