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Method: Assuming there is a drainage cone of depression and possible variation in the crop <br /> stand of lands having a buried tile drain with known alignment,utilize color infrared <br /> photography to match the vegetation color of these areas with other suspected subsurface <br /> drainage line locations. Remote sensing is proposed as a rapid method of locating drains in <br /> areas where reliable maps do not already exist. We propose to use Landsat Thematic <br /> Imagery collected twice or three times during the growing season;in Spring when soils have <br /> been plowed and are covered by less than 20%groundcover, and middle of the growing <br /> season,which could be late July,August, and early September,depending upon several <br /> cropping factors. We propose to use QuickBird imagery,which is more costly than Landsat <br /> imagery,but also has much improved spatial,temporal, and radiometric resolution compared <br /> to Landsat. Two approaches will be tested. The first is to attempt to actually detect or"see" <br /> the drain locations on the"bare soil"imagery. This has the possibility of succeeding because <br /> of the soil disturbances of putting in drains,even though it has been may years ago. The <br /> second is to detect,identify,and map(1)vegetation stress due to high water table and/or soil <br /> salinity in lands adjacent to suspected drains—two factors which would be expected to <br /> reduce crop vigor and yields and therefore create less vigor than that expected in a cone of <br /> drainage created by a buried tile drain, or(2)vigorous vegetative growth along the subsurface <br /> drain alignments due to water supply. <br /> Task 3 <br /> Examine existing soil maps and known hydraulic conductivity and salinity characteristics of lands <br /> presently served by the drainage system,as well as lands that could potentially benefit from an <br /> extension of the current drainage system. <br /> Method: This research activity will be ongoing throughout the two year study,and will draw <br /> upon information being compiled by another Colorado State University research team funded <br /> through the Colorado Agricultural Experiment Station. That research team would assist the <br /> proposed study in the selection of the beta drainage system as well,using updated soil maps <br /> and salinity characteristics of the Lower Arkansas Valley. <br /> Method: The inventory and mapping of subsurface drainage systems will guide future <br /> rehabilitation as well as being an effective tool to assess the current suitability of the drainage <br /> system layout(i.e.,depth,spacing and drainage flows),relative to information recently <br /> compiled by Colorado State University on the hydrologic conductivity of soils, salinity and <br /> seeped acreage in the Lower Arkansas Valley.13 <br /> Task 4 <br /> Identify and prepare the beta drainage system. This preparation is needed to monitor the results <br /> of the cleaning process(see Figure 1). <br /> Penetrating Radar to Locate Buried Agricultural Drainage Pipe. Paper No.032344 presented to 2003 ASCE Annual <br /> International Meeting,Las Vegas,NV. July 27-30,2003 <br /> 13 One of the CSU researchers involved in this on-going research has extensive experience with assessing the design <br /> of drainage systems. Ribbens,R.W.,and L.A.Garcia,Drain Spacing Design Taking into Account Mass Balance. <br /> American Society of Agricultural Engineers,Transactions of ASAE,Vol.45(4):965-971 (2002). <br /> 14 <br />