20221006 08421500 1.0 TRUE Soils This data layer is an element of the Oregon GIS Framework. This data set is a combined coverage including detailed SSURGO data where available, and STATSGO data where SSURGO data is not available. Consult the web soil survey website for complete metadata for SSURGO soil surveys and the State Soil Geographic (STATSGO) data set (http://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm). STATSGO abstract: This data set consists of general soil association units. It was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) data set published in 1994. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The data set was created by generalizing more detailed soil survey maps. Where more detailed soil survey maps were not available, data on geology, topography, vegetation, and climate were assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas were studied, and the probable classification and extent of the soils were determined. Map unit composition was determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the whole map unit. This data set consists of georeferenced vector digital data and tabular digital data. The map data were collected in 1-by 2-degree topographic quadrangle units and merged into a seamless national data set. It is distributed in state/territory and national extents. The soil map units are linked to attributes in the National Soil Information System data base which gives the proportionate extent of the component soils and their properties. SSURGO abstract: This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. For data quality, attribute accuracy, and process steps, see detailed metadata available from Web Soil Survey (http://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm). For detailed table and column descriptions see SSURGO/STATSGO2 Structural Metadata and Documentation: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/home/?cid=nrcs142p2_053631 Soil data layer. soils planning josephine /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAqpdy5bygQB1Yk1ZkkEaF26Cst1afMrPjceAKLXE2lu SrPtgaNCd2eG7VNFeLsAkzu74FUNoB5x6UpLIoGBg9M1XKL0NI3cQXOTj6U9J45Put+dZcZP3Sfz qMswlVjgbeRilboPVPU3KKqRX8b5D/Ifep454pSQjg460imrElFNeRIxlmAFVZ9QREPlkF89DQIu UViTXsruHUhTjHFPjvpQpBZs+pFOwNM2KKyVv5QwJJZR1yMZrRt5vPj3YxRYLMlooopAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVW9uPJj2qfnbp7UAR3LiZigb5Vqm qsjDady96VUZl3DkenNLI4KLjjPTikht203FYAg+h9aYQ446gdKDuAB6j603axH3ufatWrLQm6vc dGcMM0kgBkLc0oBQKSpcY7dqikdpAPlAx3NSt7g2nsITk7sU4HBzyKj3HJJ4GKXfnvzjpQ3roapd ySSUsyhTnHqeKh+ZffHSnqI9oAJJ656U7ap96Wlge4wEdWBzT1Cs2VNNyFOBzR8p5IwBVLbQWid7 itt5z68VbtJGV0RGIXPQ1UwAMkH1FS2mRdoCOc5pNWIkm3c2qKKKkAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKpXyIQCfvf0q4zbVLegrKlkMk25jkD0pMOgCRRHheuO9I QcDAB9aaAMnJyPal+bHABwec09iUNJHTFAIQ8jr6VIwBIOB9BTSnVs5A61bmmtR+Q51/dEDJzznF VxhkAB/Gpo5urHAx2qJQXdpTldxyMelQnoSrqTGqgH3u/aguGUYUDH406TJOVYt6k03bhfrVJX1N ua6sxhG7g9RSKpZSQTuPrT16EYI9aF+71PX8qmwpOJHztwBk0oySNoGT1z2qZV2qScdODTQu4g8e ua0UbFNXHMx+42CfapbMZu09u9QfKFI5z9KlsADeIQPXmiT0J+RtUUUVmSFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFe8cLGBnknp61RkO1Ng4PepZCXmdyfu9CRxVcEks5 AJz1PSmkHu3Q0Fgg5wPpSlwTgD5aQkt94/TFMBU9CfejlHyq9iRHII3U9lZVbldrdxTArFBjnJ4F RuHACHI9hSSJersJ5ZlHBA9Kax8vjIJPXb2qfaNi7vyFRLGQSwOF+tCG21qMJjPQnbUqR7hwflx1 9KiZdwVSTwcmmpKVLR7s+9O+mhfmyXAwUySfWiQYG5hweg9aYH3Mp96WVy8oXIx2zVKyXmQ0Chin 3iB6UNmPBJzgYHFOQEtyenHJpWjcNgjP41UloWldCMVCgnsM1asTm4TC4GDzmoHwBgDnoasWS4uv wNQ2TfQ1KKKKkQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAAelZvnSJKwL5K55zWlWS ZFErkqTlqA5XLREomdmVvNAx1Bp7XBbKhiT9MCqrybyCEx70gyG+XqKroCo66sWUgHnv0ANM2OUJ 3AL6Z609lAIOc5pAMsV/rVKOg5NOyWwq/c27eR78UFQy4VRnPJpMH7uec4pxQlwvas5+7sLlVrjB lMjrjn6VHksWY9fXFPxsbGeW/SmdiRzTutiknuhynOQTj09aYSeOMY71IxD4xwabs6ZwPSmosN9W QncH5xg0wh/NIwD2wKlZcc/5FMOVwpJBPek0JuxPCiRxklAxzyDTJEByxGPSnR5PDEmnMPmxj3zT 2ZmnZlVt3A59elWUlLoeBkcbqcNvU4PrUMTbnbGAvpValqXYflRGBzuB64q1p4P2ls+lVgBtZuAO gzVrTiDM2PSpaHc06KKKkQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEN0cWz844rL6 DPtU1zMzOwyeOgpvksU3bu3U007ArvVDQAcgZB7YNIrOGKpg845o2qI1980qRvggMv1pXNOZJXFc bv4enWnBU2g7OT3qLeSSjqBj+73qWMKM+woeiMJ2eqEdkPIQ7vUmmgMxOOTilfbj5T1NCOMMNuT6 5qparQuCIscndnjpTd2TtCCpWkY84AApgzvHqe+an5Gqv1AryDwMc04OoydtDOMdOAKYccc8d6q2 gpWejGSsAchc+xqJRJjJAzmpnB3A54HSmr8xJBwOtHoS1oOMgAGeCeMntSPMVwfNViPQdahyZSNz dfWke3KKu1gT7iptJk2j1JTI0ilfl9ciiKLbgsc89utMWJlYcgnFOVGXPJweuOKeoabIXapZgTkd hWjp0ex269KpYRUGVxzkkdavacFEjlSxGO5p3dgs0aFFFFSAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFAFK4tZHYshHX8ai+z3Cr9zP41pUUPUqMuVWMmSKVVy6bUqNRtbKtx6EVskBhgjI qN4VMTKqgccU7q1iNb3RQOGwVxk8c1HLE0Y+Vic9RSnC/f7U50aQ5zg+lGzsxKLbuiuXGOOh6inp nqoOMdaCAEKtjIPFCRNgEcA85p83Y00SGkAsDzn26UpyW4PIpzYZtucU0DnC5PPbvU36lJ39RGYA EH/9dVySQM5A6mpXXAGVyKh+YsQBwKu4peQ/cNvJpUBMfLKAx9OlMfnqMZpVGF4OKW4rPuCxojYb g9OKci9pHAI4GeaPvhVHUdTTGiJLAAk0RFKFyRflDMOMHilI53gkio1IAPLE45GOlP3psC5OCeSR TumQk7jmHG3P/wBarumHJk9BxVUBZF61d04cP060N3Rbd9y9RRRUCCiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigCvdKAm7aOuScVQzglgetazKHUqehrKddsjDB4PNNWejJta VyAMPMJZTj19alADLw3HoKaG+cjkUEDcSGYepHeqba0KcbvmEYbGGWz9KHkAAKLg4yaQHLHIzTGZ kb5gAh96Vna7NUNDNzvPGMilBUDDADNRhgSSRTydyjaP0qLisMKkNkdOlOB3DGOaTdhdmzr1NOAA kHc9qqOoPyJMEHGcU1htkwOfpUm8spBxioT975SfeqEm29QKlpAB0pJB8uD1zU0a7hyRgd6bIvzA AA0t9CbIasxRMHkHoRWjpXMLkjBJrLlbBwyYHpWppQ/0Yn1NTqT1L9FFFAwooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKo3sTh/MX7vfmr1Z93cks0Sj5fXFA0r6FQPtJz19 aXJcnsuO1Cpj5u/el6gDjA9DTlKJfK1ewkWwMVbOc9ajuEy4TcCBzSTfLk7hj60qqqpy3zYGR60+ d2sRqnuNVQRgYz60oywIGevFIFOOF49jSpndnofpUNGoDEp5428nmm7tz8Dbj3puPmbjPpz0qRF3 ckEDFNESdkSKqqrEngDik8tc4VsqPWmEkHBIxjvUpwFB9uRVEXlfQjYYOEwR3z3oDEA5IApD8gz2 qMtnccjFFy72VmNyGwTnPc1saYB9nOBj5qyRGEUE5+lbGnY+yjHTJpEFuiiikAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZE6qk0nUgGrsl0NxVDjBwTVNzvByc4ovYcHe VkMyxB7ClVlU7e5oYDbwTik3joOwz0qNzVau5DMFYFWx6c0wIfMCk8HvSSYDDuew96UyDy8FTuU9 ewqvhdjK1ncHO04X8D609MsmAc01Au04PzetJ8yqccHPQCm2tikx8UYLE54zxT1bLknjHSogZAR8 21aftcOQcMTR1CyerHiMOcnkjpTpJMIpwuPanB1ijIyS54qMn5O49MGi3Uxs2yGZgBkEmo1UEgj8 aeyEjjnNPAxgleemKexvyp6sjVvvZyMetbOnnNouPU1lMvzHK8YrV085tFOMZJoMy1RRRSAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKN5GFAZeAetVADs6ZNad2AbZ8nHF ZobOBjFJlQVm2AIC4OOKiZs8+lObdzgDOakSESqwcbSfWiPVpFSloVPLzMoY5BPUVbuI0Eb4HGB1 qKRwq+WqgFMYI5xSGRjEwJyD1zSa1uyIvQrgEHHGB3qUOQxffliPxpHf5jsUgnrmmqCDyMk96qPm S43F2lssvJPanbmLLnjaOop6Rgg9Bj3oHyswIBB5+tN2NR8abmIAzTmJTjH6U1BhVIYjnnFPllVm DqfbFTfXQzUnzWGrt2ZIHpinbdxBI4A7d6CQx6AE9RTS+GwNy/jxT3KXcbKpT5sEA1qWgxaoPasd m6gHI9TW1ajFtGP9kU2rE69SWiiikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAUL+bJ8pSPeoY4wEDMf/1VJfRjzQQSCetV2LFAMfJnnB5NC13FJSaSWg6R8DMY49ahklky F4wR27UkjEHHO3tn1pkfLHqc9xRzPoXGKirDAhBAByOpzTwzHKqOD7U7IBJx7c96j487gdKVtNRt EiZkJJHbilCMoz6U7aAvAxntS9HBYEc96tNrQLoFAZskEe9IE3NjIHfmpgg5IYc81GQEbnr2qea7 uLVpxQhdwCFHy+9L8m0ZwW+tDYJ9s0gJDg446imtRpWXmPbMTkOcA+nNGwMOAefUdKa+XBPcnrTQ 0pUjOF9alMzd2xXTaMBlPOcVr2//AB7x/wC6KxdpCjnkmtqD/UJ/uiqY1fqSUUUUgCiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCKeLzUxxntVUWUg6sPwoooGpNEbadKzZ3L nGKYdOnU5BUj0ziiihaBdifYp+6AfQ04adJkkhckY60UU7sE7EgsZB0Iz9aHspn7j6ZoopC63G/Z J1bhQB9c01rSYnJTdRRQNOzuMNrOGyIjS+TKR8yMKKKaHe4n2dthyrE54qUwOygBCD39KKKkndag bZsj5WIHbFaKDbGo9BRRQkJIdRRRTGFFFFABRRRQAUUUUAFFFFAH/9k=