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<CreaDate>20220404</CreaDate>
<CreaTime>13552000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
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<dataIdInfo>
<idAbs>The NESA and Fitch Tract 2ft contours were digitized from a survey conducted by Western Air Maps. The Midland quadrangle 10ft contours were digitized by Matt Dunbar while working as a graduate research assistant at the KARS Program.
The DEM and shaded relief model were derived from Kansas LIDAR data collection started in 2006 and was completed in 2017. Processing was done by Jude Kastens, KBS Assistant Research Professor.</idAbs>
<searchKeys>
<keyword>Elevation</keyword>
<keyword>contours</keyword>
<keyword>DEM</keyword>
<keyword>LIDAR Elevation</keyword>
<keyword>shaded relief</keyword>
</searchKeys>
<idPurp>Digitized contour lines for the Northern Tracts. DEM and shaded relief model derived from Kansas LIDAR data collection started in 2006 and was completed in 2017.</idPurp>
<idCredit>Kansas Applied Remote Sensing Program / Kansas Biological Survey</idCredit>
<resConst>
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</Consts>
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<idCitation>
<resTitle>ElevationData</resTitle>
</idCitation>
</dataIdInfo>
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DGLVf3kMT/w7xuJ2nkgdPp7UAQXGk6VpsNu0WlhboIjTSyTPI28jlI1GSSScDHYdetW9Om8ho7pVKtyfLzwBzj9D/wDqql9m1OOR106SFphGSFkypVRkFsjPXcQBkE7T26yQ29zaKDe3Uc1xJljDChCwqNv3j05LACgCCWB7bTxqtwmya41nKvgkhNxwvoOMnj1qzpOh3eu62+q3Ev2TTbW5keOVk2YxhVxnGDgZ+ppmro11YWULMyxxXaE/MRwW24C89SwyeuBU2p6lPPdWOnoQNPtvm8mHOAFH8RIGXL9eOgPc0AO1nVTaaeLbSvNW0iY5iUDGCc5JHUkdzn61HEq2KW2lWMTajq0qCe4ZGby0cqBz2CqABk+5rGeHUdQ0W102ztGeVy8lwTGTt+ddgLc5winOOOn49Nd2kdnp0zSaqLGCUATNbwEzTMeAobHPyjtx+lAGPe27xarZb380CJg7ISy7sjknAHfA71q4DSxKADjDY7AcHmudvrq71V5E063FpZCUeUZUy7AZJYknr0x6Ct3yZZVWJ2KqygErwcYoAWK0e7drp5yIy4AIH8vYcfrTLmGzjZljvQ2zCHeRzjGeh4GcU/WrmCK0t7MhygUymNOM9lyT15z0/OkjtrS0SGa+gi3OjSyIeTnKhQFJPPLc89B0oAgae8WPbBGQ0rryoBDdSM57c/40VcsLqa/1EXUinyl3AsTxz8oAOPfrRQBhWzobScW8bE3AeKNcDJYnIHzHnp1/Gt+V/wCxraWC1eGS5dXywJCE9Sev3R+tYsUi/adPb7PtaJVYnJPz7QOe2ev51JeRyzzSIZSfMkbnn7mAB19wfyoApWkGoTeI2vNSmU+TEyooZSBuIKqAOgPXJ9+OK62TTbe4tpkury++zTOC6KyQpcOFACnnc6jgYOAdvesTS4I4b+W4kKyuziZyRj7pUBR/3yP1NaM2TPNeavdpdOVw0Nr+62hjyu4gn5uh2+4yaAMu7kc36W9hcTEt+9KOucyDGNuEAODuA+tQ3kk11F9ltrSXIfzJWaM/NgDDMcdB9ec+lXLfUDGl4ILby7YOsMMfOSMCPcWPJJDH83OcjNVL7V3bRZrMyQW6yuskwuJMbQB0AHJ6LwOpFAGpFaLqJ+x3CFoX+aSOP+PHJ4/iweeQO1WbkadcXeI7NY2iXBJ2+arDaQWKHGcDoc9RmqtlezxL5tvsdzEepO3dxjkc45NSjQ55ISdY8UrLFApBitAuN3cZzzgZHt9aAKswgmuY4raJp7hcOWALlVzy36DPbtUdzaqq2tnvUyyzIJec43EkKMZJ5HTv+VVX1i1uIv7O8PrP5Msu+6vniHcncxI6jghVHH5mr9rHcXOoXGpx6PKlsEWG0Fwmw8/ekCnJJ2kqPx6UAPg064IuJJD5KsytIz43YGSBxnkk5P4D1Arm3uLiWIGdcuxwWB+Vcnkrjpn6VdMd9dq8bwtDCrLnftG8ZOWAJyRxgY61DK11BI08OyNFBDM7BSQvH8zQBSuLOxhsVsINJnvXljSNpFVt1zLtGSck4XO8+mM84FM1GW/nt826QNG5yHYkEsGGWODgjj1+gAqxY6bNqV8638Jt7FI91wBJukn5BEJbqgII3AEHpuHStK51KKSOSOKZLe1WAwuI0+YJ1VUP8OcgsRzjPfkAGdNdOgEYzEGGS0Qz8oUdc9CcsMDgDp7UryB7uOWKS580ugBZmJIO7rz9cdvXitaUPfvLeW+kvp+mooSGe6kCvMTn58EZVcITnGOtVmsoQZwsSh5BueTkngZGD65xQBYtiJfL8uQYAVVxkA5A7ntyau6jc6Vb3M+iWMEUtwkIMk6gS89SVDZA5zz29azrdxtBjL5Db8luM4+lRQ6W92b4yXE0y6hLGZvNkCjYpOV68jAP5j3oA0ZdcS80mVIvMGn3CeQ8kMXlq+ACQCP4QNxJ+uaz9d1CO8tLHy5JI7d58hFyPMPzBcDPCgDjA54ouIlk1G381gyDCIinciKq4AHbkH+VReKSJ7vSGlbKKWXGcKCAMEAKBjsBz9aALEce5c7QVUbiD6DsKn89i/mkA7mwB2Cgd/zpYI28kFmVVwRz1PbpUcTKsmHkRmOen8PT/D9KAJjeJBqW5V8ydjucjGSowQuewG36c1TdrYu0l4PPuHIyE5RF9Bzy36Cp4gsMEk7qfMniwFHDAHPHOfaoDLBAxh+zgSbWDsQCc85xn0HHvnNAEjarI4dYkEMeAFCjoo5xRSK6SoRHbQgBeCzqu7/OaKAJNowOOhOBikWAbi3RvX8Kf0YkDn1oJNAEcCLD5q7QXZ1JOOM4PA/AjI+nrU/ky3l5HI8kAht2WZhOchmGCM98bgBgegHAqBBiaT3A69z60/e642HODnBJAPB/xoAvQ6DqtvCPtEEBuJf3zv5bMYlGAFUFQAAMnIPJ+lVLme102C4aaNJGGDGZIi+0bWBIXHAyVbI6454qnd+G5vMM9xrM7yyMGcpIyqFbsN/BGccc5yMHjl32cRSSMbWK5uGICCVA6ps4z8wC++elAEdhcG7tRIwcbs7N/DY6Z6f0qPUbW58SahZ2kcZisvsqQqEO3c7NuYH2JwTxT5DqEEsd3q+qJdXNynmLCGAVUBIzkgcH15yOe/N2NmZgQTjPQ0AaUETaYsmmaLHpMggn2zyyBm8raANoVQSTnAx3wPSq2oanMyrLfTRygssYABVVzkdD0+8R0FUdU1G00Xw/KLSGOB4xlWSQs0srEn5U+6AOpJ5rGvnu9bvbKyO9ljxLcyD92uT/AAA9W6jJ4oA0rfXV1GaRY5Iba3jIjMsjcsxcgJGMHc2ATnoMj1Aq4JRKjXEag28TDaXP3m46+3TtVySfWpZLay02yhsNIiDBPOmVPOVRnJJGMluuM4GOtVlS/l4uprTzNqkNG7ssa9QqjaMnjr+VAEcrpZ2xNw++SO2KnJHV3Ltj/gX545rHnKxoJLS5jg3quXAx1wem7joBwM8Drni5LFcXcpW3RJQ7bVAbLPnAHGMDnqTgAc9qU+H7Gyht5tT1OzgvPLMkuZwY1APAzwWY56Y/CgCG5v71Tbxy2i3+xvMb7QQ0ZbOcbSPU/r15NN0+6uJnY3EEUKjbsVJixJxyTk85OTjp9OKsAQta+Ybr5WAIITGRnIwDz+dWVjitMMWd7hwGKsQxjA4HHbOM4PrQBAqhQ4+UJvJDbyMf55qwGi2KoDjop24C/j+NSrcxkoCgBByzBBuA7DP1/wAk1WjuDLO+F2HfsKrkBeh9z09f0oAWFVG11jO0fMzHovoPQnHaqOpWBv57YPIVEcqMMLkk8gZ4zj5jwK0JpgtskMcWOAAM9OP/ANX51LYmNQl477pCNqDHK9iQMjg9KAHMHYYitmhiXgB1O4D3J796rbRHL5m2JQrKSRwxGQD65NPimkuLiZpBKsURzyBweRj65qCYq9rJJhWJGR0+UZxz70AWo1lluLm6Zvl3bEZ8dB1x+IxnjvVWSQmU4aBA55JQ5JJ7mrUoM8sUEUSgsm52x91fbP8AnmoriBRcvbqSu1VJkf7ik+59j256cUARG1ttuxbqRn2hsx8fh6+hz9OKKa8ZjLHfG424DKOOgxx26UUAWBIu4gByc/3D/hRvUjv+PHfHHr3pfLlk+/hFPOcU4BEb92oBONxIzn2/CgCME+ayBSu47t2OOgH58U4KAcjPTqac7EgZA46/TrQ42sQRyQDj6jNAFC/t7xnRoZFOCPkmZgq88NgdQOuMc8VcigjkjkS3WabTrdViWW4cK0rNwxK56ZGQODyeveQKAFLMTnniqGq6TbanbtC7SKrDkrgE8g47+lAECxfadRuNWuJ4NsMZJJVwQWYALhmwSS393oOT2rQt2x8oIfnqPeszVHuVtZYv7MjlgMgZI7Zn6DOAwJzjgZwcnPardkZWQySxCJiEATkAdf8AP40AWdRIkCIVD5JGTGByMcVq2mpaZ4b02fUplknvsP5agYSMcAE9s7iMf0rPjgFxOJpXRIYF4BbHJHJ9znj8Kj1BrOWFozJuHBVecHp/KgCC28SalrOoziQS/ZLaGNETac525LMc4CjGScduwzTYbpbzU223ChEt0ucKCSQ3CKo9SGDewHSr1jo41GyvIzcx2sEilJcSFN6d1Hrnv7UeJbiPw3pTWGlJZwLKXW8m37Wl4IGT1AGBx3oAq7BPLLbwI6m3BO9GOF9NxHHUHr6HHenf2ZoKPJPLAXWPa0by3TPjDYbjocqAeB1z7As0rSo7fSwbzVt1zcbZXgiiLklQQBuJAOfmP+eK+rWct1OILWGA2iyLBF5wy0jYywGMZPc9ufagCfS7uC8t7nUYbNliMx+yqzk4XPBJJ545/wAKlt4xLOWmuGiRgXZsjLYxkD8xU0Gl3LoIYINyR8fKvAPp9eKfJaz2X7to8TnhnYY2rkZA/KgCptSS4EdokjuAZfL35+XliCSeOB64zx2qe20swQvM08CBm3EsOPu9ePf+dO09WW2vZlKAyKY0KjIUDOfxyP0qteeW6x7kUWtqo3KPvSPhfkGOg5xmgBBI0rOsa+Yu5vnjZdo59e/9Me9ShhIN0fHO0c4xg9KsuJY7VLQM0UMMRaeOHC7nIztz6EhvwAqrhBdmJJAWHUK2dxwM+/B9aAEy8UbrDGHmd8oT0Qnq3vTbxWgtBYRFSyp+8lK/xn5h+mMfX2qSOTByjDLAYbPUe3tTJSAjMBjg9T9MmgCxahpLdDHESSQGKkj5fwxuJPP45wKhmt2a4+0XBRIxhPLU9Dk8DHfA681YdFt7SCHzAGlGFIHI5wcfQEfnUKhriZnjULbwsQmcAKAO2euTkn8KAEhtAsf2ghoFIHzMcZ+gPPpyf/rUVUkaa5nLlEZY22Bmi6KOBj9DxRQBdZst8wACgYP50u0qmCME81TsbsanE04V4YWJKgjnGTj/AD+NXWYsxY559fSgCNtu07uhG3654xTnQNhCOFI6HPT/APVSFDIwUHB3ADnqf8/yoIBH93nOV7UAPPQcADtR3H0pCxCHcCcsCpCk5HI/nikG/Gdp+mef8KAF5oPOeme2RSBvUHOeO/8AKkyTkBTn1JoAaVEilHUcjoe9RTK6xXEkjZ3Ju4UcIvRAOwzznvU7AbihOdrcsp9/WkZMkZG8AbcdOCeaAJHS4Fl5UMqxSyqXUld7D32njgcf/Xrn00E3WttNfsrghY4i3IAXBzzkE55PHety4v4LS3MrwhpWOHkcksc9AO3GRgcfzosrWctFfXUTRwLZ7Uy4GW+8fw5HP060ASeJ9fitnsNE068F1IrqbhgmERN4LAnGTnH86z7fWJYNQhnubVligmaSHYd235CNzZPf8aszJZLfM0cbAlwhLISe3X06in21nI9pFKyFTIuceg7dTn17UAZms6zdSpF4dsknt0dllunD7W2FcbT3yTkn8qsWunCObe0srJtx5TOSoHoAaPsUcGpz3kkvnXNy67UOFAA+UKOw6f1NaIESwszurFU564Jx2oAWEsYyzIQzEuCoDfL0/D7vb1qOaP8A0iJCjCCIhwhPyYDA5b1yeMe9LDKMA4wNuPl/lVV2ee4d8SEuwCqec+/oBQA6a7kuZdig7pnIIVuWPQcemP5nNPgtLawj+13siu5VwwiYbVUEABc8Hp16fpVgRpGZpGkAKKURyeRkc8n1IFVYkgvL2GDaz29uoJKkAH8PUn6YAoAfbLJdoLhUZU55YY3HkZHr0/z2kTaC5UZVOgPOPSpLy/uJXYwvFGoyASuCBlhx+ZFZrXe0pG8ErOzH50PvwBkYJ6fjQBPcASXMU0jEuAEXLcKM8nHQckflU2pyn7HDbojbA/8ACg5Gc/lUQ860CCeBo5N/+rPzYJOdpPr7eg9BUc7faYkYEYIH+rXauSe35UATK0k80EKkbN4eTAG45OW7ccD+VFTtdR2xWC3KHaRGrsuN+Byx9O3WigCe50xrKWxsUnjkIYpNL2Z229Dj1OOwwp71B9nnaN5olSWGNiryqTtBGMj9ah1DUD9pmktx++i+Zscnng4GfTNYd7d3mrzrpcVzNHbK6yyptO0DPKg5APPtQBvLHkFuXIPGB096AwCk846k44pc+XBukxsdxg56AZB9vaprGOFoFluInaIlcoj7OM9Ceo9OPX8KAKx6Bsj5unUAj1H5ik5K8yEY9AP5c/5FWPtFrZyS+ZF8sbYSGNmIIyFABOSR3yfWq93ftM6+ZbWqmQtvWJz8o6jPAz37UAOHK8kn8KAcdAT/ADpqssqK0bcEcYPWlO4/Lv8ALOcB26A+tADlAVABwMcYoAwmccbsDjr6/wCfelVFMgTJwvBI7CklkGQFUjsqqM/n/j9KAGupB3KASBgAnA6jnpTJnluZ1W5nZ4gfMkUZY9GycZ5J+UDp0+tSBZMnCY9ieaCM5BXDYxyKAKkqwXF9bpH8iSzMQGIwwBAzx67f/wBVWJpZ76+Xyx5ihflAOAAc4/Lj+VSxx273kVxcb2jSMx+VEOQSeck+xP8AninGe0i+ZUljaRN23JLHuOnAHPb+tAEZih0/99PIsl2ELHaAQgz2z9etAjkmtQ8oX94hwp4ZuOuPT0+tRWsMd0/nXBJVVCBQDl2UHrjouSOSeTirV5c/IqLI0kkv32yMJz0BAHb8vfrQBTg3DbbCNlJYnOOo2np7cY/GnRFHvIYUlwQTIxA4HHBz/ntUck0VuGaEkMDsLMC3HYDn/OO1WbGCS3t9qW7zPKu6SRxhcdhz24oAaWUwskIJJ6ueT9fSkeZ4LZEjlCAEPKzDG49zx7D9KnOyJdqqgJGWCgcf4VWBiklXdCzgY4JAB55PX0oAjWzuXghb91CJsbOTuC5zuwM8dTnirrFbOWzsYjlBcb3IwG24zk44BztH0FP83zr8zurBFiZFPHfqRjjpxTWuImB3SAGQK0rck7AOme2TkfiaAGyuohupXKrmQJFzyPmLN1453fpUCo1wrtANyq2C2eh9FPr39uOnQEjx3ksX74RrwPuFskkDOPqfQ9KszIGh+y2rultGnJwAW+bB57dT25oArFSFDED5gdpI+Ujp19M/n+dFXkKLM0kUalY7dhHEGJJPBxx9T9cHp3KAOTXUPtsqRJCIiGbLE7snkZ7e1a9jagRpHJLJKXmClpDuJyNxPNFFAHR6hpEUFkzBgVgGFUrx/wDWrGEmyIoiqu9wCVA6k9f0P5+1FFADp4h9o3sSQWKEe3r9eKhSETXCxxhI9ygbigYjLc/0/KiigB+3y2Ybi2eefp/9ahhlAp5Eh2nPYEc0UUAOVQqPwM7sE460kY2lyOpI5A6UUUAJGGlh3htgzwqj+frTgPmVDyM0UUAE9vGkcUpGSykDBxjJx/gahkuNmmpcRqUaTl1U8Hgn0/nmiigCQ3k1rojNE5VnttxIJ75Pf6UlwSmoWltucqjYBLHJYZ5PryM/pRRQBWuUimuPs0qMyku3DYHy4PTHXnvn+ebN/cN9ulgHEabEIUkbs45P4D9aKKALNvbqsIklJcyHOB8oHOMUzyo5IQ4QL8xBHrjFFFAFeaRwtqWOfMXfxxj5c4/Wlt4/9HaTIyFYn5ckhQcDnp1P+eKKKAEbznHnvMSIm3bQoGSPfqOtK7vIbgghI08uNY1zt5LcnJz/AA+vc/WiigAtUbNxEHx5ceSwGCeGOB6frRRRQB//2Q==</Data>
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