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      <resTitle Sync="FALSE">2016 Irrigated Lands for the Camas Prairie: Hand-Digitized Generated</resTitle>
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      <date>
        <createDate>2024-08-12T00:00:00</createDate>
        <pubDate>2024-08-12T00:00:00</pubDate>
      </date>
      <resEd>First Edition</resEd>
      <resEdDate>20240812</resEdDate>
      <datasetSeries>
        <seriesName>Irrigated Lands for the Camas Prairie</seriesName>
        <issId>2016</issId>
      </datasetSeries>
      <citRespParty>
        <editorSource>external</editorSource>
        <editorDigest>b522197d5b5a574d2d7819b7ba7121e1</editorDigest>
        <rpIndName>Geospatial Technology Section</rpIndName>
        <rpOrgName>Idaho Department of Water Resources</rpOrgName>
        <rpPosName>GIS</rpPosName>
        <rpCntInfo>
          <cntAddress addressType="both">
            <delPoint>322 East Front Street</delPoint>
            <city>Boise</city>
            <adminArea>Idaho</adminArea>
            <postCode>83720</postCode>
            <country>US</country>
            <eMailAdd>gisinfo@idwr.idaho.gov</eMailAdd>
          </cntAddress>
          <cntPhone>
            <voiceNum tddtty="">(208) 287-4800</voiceNum>
            <faxNum>(208) 287-6700</faxNum>
          </cntPhone>
          <cntHours>8:00 AM - 5:00 PM</cntHours>
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        <displayName>Geospatial Technology Section</displayName>
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      <exDesc>Irrigation status for the 2019 growing season.</exDesc>
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            <TM_Period>
              <tmBegin>2016-04-01T00:00:00</tmBegin>
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    <idPurp>IDWR is partnering with the U.S. Geological Survey (USGS) to complete a four-year water resources investigation of the Camas Prairie. The study began in March 2023 and will end in 2027.
The objective of this project is to provide an updated characterization of groundwater and surface water resources in the Camas Prairie and Magic Reservoir. Data and analysis obtained from the research activities will provide IDWR with information to help address current water resource challenges, including assessing whether groundwater pumping in the Camas Prairie affects the surface water availability in Magic Reservoir. The study also will provide baseline information for a potential future groundwater flow model.</idPurp>
    <idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;This layer depicts polygons representing land within the Camas Prarie in Southern Idaho classified as either "irrigated", "non-irrigated" or "semi-irrigated", where the semi-irrigated classification typically depicts residential land. The creation of this dataset will be a multi-year effort. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Field boundaries are hand-digitized using National Agriculture Imagery Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, or other high resolution imagery for determining field boundaries. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Sentinel2, Landsat7, and Landsat8 satellite imagery for background reference. The Sentinel2 constellation is made up of two satellites with a 5-day revisit schedule. IDWR processes Sentinel2 imagery into 3-band, false color, 10-meter resolution scenes for the growing season. The Landsat constellation used for this project is made up of Landsat7 and Landsat8 with a 8-day revisit rate. IDWR processes Landsat imagery into 3-band, false-color, 30-meter resolution scenes for the growing season. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery may be used for determining irrigation status and refining the polygon geometry.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;If you are interested in the evolution of IDWR's various “Irrigated Lands” projects, please contact IDWR’s GISInfo to obtain the Editing Methodology and Guidelines documentation where the interpretation and classification process is described in detail.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
    <idCredit>Idaho Department of Water Resources (IDWR)</idCredit>
    <searchKeys>
      <keyword>Camas Prairie</keyword>
      <keyword>Groundwater</keyword>
      <keyword>Surface Water</keyword>
      <keyword>Hydrology</keyword>
      <keyword>IDWR GIS Department</keyword>
      <keyword>Idaho</keyword>
      <keyword>ID</keyword>
      <keyword>Irrigation</keyword>
      <keyword>Monitoring</keyword>
      <keyword>Regulatory</keyword>
      <keyword>Irrigated</keyword>
      <keyword>Non-Irrigated</keyword>
      <keyword>Semi-Irrigated</keyword>
      <keyword>Water</keyword>
      <keyword>Water Use</keyword>
    </searchKeys>
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      <Consts>
        <useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Access and Use Constraint: The Idaho Department of Water Resources is making this data available as a public service. The Idaho Department of Water Resources strives to ensure that all technical data and other information made available to the public is accurate, complete and in conformance with the Idaho Public Records Act. Neither the Department of Water Resources nor the State of Idaho, however, assumes any legal responsibility for the accuracy or completeness of the information contained on this site. Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of IDWR in any products derived from this dataset is appreciated.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Distribution Liability: The Idaho Department of Water Resources is making this data available as a public service. The Idaho Department of Water Resources strives to ensure that all technical data and other information made available to the public is accurate, complete and in conformance with the Idaho Public Records Act. Neither the Department of Water Resources nor the State of Idaho, however, assumes any legal responsibility for the accuracy or completeness of the information contained on this site. Persons using information from this site for official purposes, or other purposes, for which accuracy and completeness are required, are hereby notified that they should first verify the information with the public records or other primary sources from which the information was obtained. Acknowledgment of IDWR would be appreciated in any work derived from this dataset.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Field boundaries depicted within this dataset are not to be used for legal purposes.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
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    </resConst>
    <themeKeys>
      <keyword>IDWR GIS Department</keyword>
      <keyword>Groundwater</keyword>
      <keyword>Surface Water</keyword>
      <keyword>Hydrology</keyword>
      <keyword>Irrigation</keyword>
      <keyword>Monitoring</keyword>
      <keyword>Regulatory</keyword>
      <keyword>Irrigated</keyword>
      <keyword>Non-Irrigated</keyword>
      <keyword>Semi-Irrigated</keyword>
      <keyword>Water</keyword>
      <keyword>Water Use</keyword>
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      <keyword>Camas Prairie</keyword>
      <keyword>Idaho</keyword>
      <keyword>ID</keyword>
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    <suppInfo>This layer depicts polygons representing land within the Camas Prarie in Southern Idaho classified as either "irrigated", "non-irrigated" or "semi-irrigated", where the semi-irrigated classification typically depicts residential land. The creation of this dataset will be a multi-year effort.
 
Field boundaries are hand-digitized using National Agriculture Imagery Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, or other high resolution imagery for determining field boundaries. 

Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Sentinel2, Landsat7, and Landsat8 satellite imagery for background reference. The Sentinel2 constellation is made up of two satellites with a 5-day revisit schedule. IDWR processes Sentinel2 imagery into 3-band, false color, 10-meter resolution scenes for the growing season. The Landsat constellation used for this project is made up of Landsat7 and Landsat8 with a 8-day revisit rate. IDWR processes Landsat imagery into 3-band, false-color, 30-meter resolution scenes for the growing season. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery may be used for determining irrigation status and refining the polygon geometry.</suppInfo>
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        <attrdef Sync="TRUE">Internal feature number.</attrdef>
        <attrdefs Sync="TRUE">Esri</attrdefs>
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        </attrdomv>
      </attr>
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        <attalias Sync="TRUE">Shape</attalias>
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        <atprecis Sync="TRUE">0</atprecis>
        <attscale Sync="TRUE">0</attscale>
        <attrdef Sync="TRUE">Feature geometry.</attrdef>
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        <attrdomv>
          <udom Sync="TRUE">Coordinates defining the features.</udom>
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      </attr>
      <attr>
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        <atprecis Sync="TRUE">0</atprecis>
        <attscale Sync="TRUE">0</attscale>
        <attrdef>Calculated acres of polygon. These values are user calculated and not automatically calculated as polygon shapes are edited.</attrdef>
        <attrdefs>IDWR</attrdefs>
      </attr>
      <attr>
        <attrlabl Sync="TRUE">STATUS_2016</attrlabl>
        <attalias Sync="TRUE">STATUS_2016</attalias>
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        <attwidth Sync="TRUE">50</attwidth>
        <atprecis Sync="TRUE">0</atprecis>
        <attscale Sync="TRUE">0</attscale>
        <attrdef>Irrigation status in 2016.
Possible values are: “irrigated”, “non-irrigated”, or “semi-irrigated”.
</attrdef>
        <attrdefs>IDWR</attrdefs>
        <attrdomv>
          <edom>
            <edomv>irrigated</edomv>
            <edomvd>Using remote sensing data or aerial photography, area shows evidence of being irrigated.</edomvd>
            <edomvds>IDWR</edomvds>
          </edom>
          <edom>
            <edomv>non-irrigated</edomv>
            <edomvd>Using remote sensing data or aerial photography, area shows no evidence of being irrigated.</edomvd>
            <edomvds>IDWR</edomvds>
          </edom>
          <edom>
            <edomv>semi-irrigated</edomv>
            <edomvd>A mix of irrigated (lawns, pastures, etc) and non-irrigated land (impervious surfaces, structures, etc), typical of residential areas.</edomvd>
            <edomvds>IDWR</edomvds>
          </edom>
        </attrdomv>
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        <attrdefs Sync="TRUE">Esri</attrdefs>
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          <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
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        <attscale Sync="TRUE">0</attscale>
        <attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
        <attrdefs Sync="TRUE">Esri</attrdefs>
        <attrdomv>
          <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
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    <report dimension="" type="DQQuanAttAcc">
      <measDesc>Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Landsat and Sentinel2 satellite imagery as background reference. Landsat imagery is typically 30-meter and Sentinel2 imagery is 10-meter resolution. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery is used for determining irrigation status and refining linework geometry. Hence, attribute accuracy is determined by the scale of those sources.</measDesc>
      <evalMethDesc>Visual inspection against imagery and IDWR's water rights database. A topology check was performed to repair overlapping polygons and data gaps of consequential size. Overlapping polygons and data gaps of consequential size were minimized to the best of the analyst’s ability under existing time constraints.

The determination of Irrigation Status relied extensively on a field's MEAN METRIC value as well as the presence or absence of a water right.</evalMethDesc>
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      <measDesc>The data layer consists of polygon features attributed by GIS analysts based on visual interpretation of remote sensing and aerial imagery as well as supplemental information provided in the water rights database.
Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Landsat and Sentinel2 satellite imagery as background reference. Landsat imagery is typically 30-meter resolution; Sentinel2 imagery is 10-meter resolution. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery is used for determining irrigation status and refining linework geometry. 
Concentrated animal feeding operations are classified as semi-irrigated in Irrigated Lands Data layers.
</measDesc>
      <evalMethDesc>Visual inspection against imagery and IDWR's water rights database.</evalMethDesc>
      <evalMethType>
        <EvalMethTypeCd value="001"/>
      </evalMethType>
    </report>
    <report dimension="" type="DQCompOm">
      <measDesc>While data accuracy and completeness is highest inside the Camas Prairie Study Boundary, the layer does extend beyond that boundary.</measDesc>
      <evalMethDesc>Visual inspection against imagery.</evalMethDesc>
      <evalMethType>
        <EvalMethTypeCd value="001"/>
      </evalMethType>
    </report>
    <report dimension="" type="DQAbsExtPosAcc">
      <measDesc>Positional Accuracy requirements are determined by its use in future modelling efforts which accepts "less-than-perfectly accurate" horizontal accuracy. However, given any time constraints, efforts are made to refine positional accuracy based on NAIP and DOQQ imagery.</measDesc>
      <evalMethDesc>Visual inspection against imagery and IDWR's water rights database.</evalMethDesc>
      <evalMethType>
        <EvalMethTypeCd value="001"/>
      </evalMethType>
    </report>
    <dataLineage>
      <statement>Irrigation status is determined using 2016 Landsat8 imagery for the following dates: 

Path40Row30: 
05-14, 05-30, 
07-01,
08-02, 08-18, 
10-05, and

Path41Row30: 
05-05, 
06-06, 06-22, 
07-08, 07-24, 
08-09, 08-25,  
09-10, 09-26,
10-12

AND

Irrigation status is determined using 2016 Sentinel2 imagery for the following tiles and dates: 

T11TPJ / T11TPH / T11TQJ: 
05-29,
06-18, 06-28, 
07-08, 07-18, 
08-07, 08-17, 08-27,
09-06, 09-26, 
10-26</statement>
      <prcStep>
        <stepDesc>Because this geographical area's land classification was conducted without the benefit of real-time ground truthing, a review of the land classifications are conducted as new information becomes available. Comparisons between an average precipitation year vs a dry precipitation year vs a wet precipitation year may be warranted.</stepDesc>
        <stepRat>The following three factors play a role in the accuracy of the manual image interpretation and land classification process and consequently the necessity for ongoing review as new details and lessons are learned: 
1. three years of irrigation status were analyzed for this project - an average precipitation year (2016), a dry year (2021), and a wet year (2019)
2. the area of study is a low-lying geographical area with a high-water table 
3. no real-time ground truthing was conducted during the land classification process. </stepRat>
        <stepDateTm>2024-08-12T00:00:00</stepDateTm>
      </prcStep>
      <prcStep>
        <stepDesc>Check Geometry Tool
Repair Geometry Tool
Check Topology: Correct overlapping polygon topology errors 
*note: slightly overlapping polygons and gaps may still exist, typically along pivot edges and/or roads
1) No Overlaps
2) No Gaps (*of significant size)</stepDesc>
        <stepRat>"Irrigated Lands" data was created from the best available data for each year.

"Irrigated Lands" data as provided by IDWR does not represent an on-the-ground survey nor is it based on a thorough water right review.

Irrigation status in the "Irrigated Lands" data is not determined using spectral signatures but is based on a GIS analyst's manual interpretation of remotely sensed imagery.

Field boundaries depicted within this dataset are not to be used for legal purposes.

The constantly expanding scope, completeness, and complexity of GIS technologies, including image processing and interpretation, allows IDWR to constantly improve upon the methodology used to create "Irrigated Lands" data.  If you are interested in the evolution of the “Irrigated Lands” project, please contact IDWR’s GISInfo to obtain the Editing Methodology and Guidelines documentation.</stepRat>
        <stepDateTm>2024-08-12T00:00:00</stepDateTm>
      </prcStep>
      <prcStep>
        <stepRat>"Irrigated Lands" data is created from the best available data for each year.

"Irrigated Lands" data as provided by IDWR does not represent an on-the-ground survey nor is it based on a thorough water right review.

Irrigation status in the "Irrigated Lands" data is not determined using spectral signatures but is based on a GIS analyst's manual interpretation of remotely sensed imagery.

Field boundaries depicted within this dataset are not to be used for legal purposes.

The constantly expanding scope, completeness, and complexity of GIS technologies, including image processing and interpretation, allows IDWR to constantly improve upon the methodology used to create "Irrigated Lands" data.  If you are interested in the evolution of the “Irrigated Lands” project, please contact IDWR’s GISInfo to obtain the Editing Methodology and Guidelines documentation. </stepRat>
        <stepDesc>Field boundaries are hand-digitized using National Agriculture Imagery Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, or other high resolution imagery for determining field boundaries. 

This layer depicts polygons representing land within the Camas Prarie in Southern Idaho classified as either "irrigated", "non-irrigated" or "semi-irrigated", where the semi-irrigated classification typically depicts residential land. The creation of this dataset will be a multi-year effort. 

Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Sentinel2, Landsat7, and Landsat8 satellite imagery for background reference. The Sentinel2 constellation is made up of two satellites with a 5-day revisit schedule. IDWR processes Sentinel2 imagery into 3-band, false color, 10-meter resolution scenes for the growing season. The Landsat constellation used for this project is made up of Landsat7 and Landsat8 with a 8-day revisit rate. IDWR processes Landsat imagery into 3-band, false-color, 30-meter resolution scenes for the growing season. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery may be used for determining irrigation status and refining the polygon geometry.</stepDesc>
        <stepDateTm>2024-08-12T00:00:00</stepDateTm>
      </prcStep>
    </dataLineage>
  </dqInfo>
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