20190214
11574600
1.0
FGDC CSDGM Metadata
FALSE
20220607
08155500
150000000
5000
FGDC
IrrigatedLands_2010
002
0.000
2306217.438600
2406323.035800
1304089.247000
1360630.624100
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_Idaho_TM
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS["NAD_1983_Idaho_TM",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",2500000.0],PARAMETER["False_Northing",1200000.0],PARAMETER["Central_Meridian",-114.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",42.0],UNIT["Meter",1.0],AUTHORITY["Esri",102605]]</WKT><XOrigin>-3120900</XOrigin><YOrigin>-13447900</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102605</WKID><LatestWKID>102605</LatestWKID></ProjectedCoordinateSystem>
20220607
08155500
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
322 East Front Street
Boise
Idaho
83720
gisinfo@idwr.idaho.gov
(208) 287-4800
(208) 287-6700
8:00 AM - 5:00 PM
Environment
Groundwater
Human
Hydrology
IDWR GIS Department
Irrigated Areas
Irrigation
Monitoring
Non-Irrigated
Regulatory
Semi-Irrigated
Surface Water
Water
Water Use
>
Mountain Home Plateau
Idaho, ID
>
Mountain Home
Environment
Groundwater
Hydrology
IDWR GIS Department
Idaho
ID
Irrigated Areas
Irrigation
Monitoring
Non-Irrigated
Regulatory
Semi-Irrigated
Surface Water
Water
Water Use
Idaho Department of Water Resources (IDWR)
<div>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.</div><div><br /></div><div>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.</div><div><br /></div><div>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.</div><div><br /></div><div><br /></div>
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.
2010 Irrigated Lands of the Mountain Home Plateau: Hand-Digitized Generated
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
322 East Front Street
Boise
Idaho
83720
gisinfo@idwr.idaho.gov
(208) 287-4800
(208) 287-6700
8:00 AM - 5:00 PM
Geospatial Technology Section
2022-05-31T00:00:00
2022-05-31T00:00:00
First Edition
First Series
2010
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9328
The objective of this years-long project is to provide an updated characterization of groundwater resources of the Mountain Home plateau by developing a hydrogeologic framework and water budget for the study area. These data will provide IDWR with information to help address current water resource challenges in the Mountain Home plateau. The hydrogeologic framework and water budget developed from the Irrigated Lands data will also provide the conceptual basis for developing a potential future groundwater model.
<div>This layer depicts polygons representing land within the Mountain Home plateau study area boundary and are classified as either "irrigated", "non-irrigated" or "semi-irrigated", where the semi-irrigated classification typically depicts residential land. </div><div>Attribute assignments for irrigation status fall within three classes - irrigated, non-irrigated, and semi-irrigated - and are determined using available Landsat imagery as background reference. Landsat imagery is typically 30-meter resolution for Landsat7 and Landsat8. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery as appropriate and relevant is used for determining irrigation status and for refining the polygon geometry. The interpretation and classification process is described in detail in an internal (IDWR)document and may be made available upon request.</div><div><br /></div>
10000
Irrigation status for the 2010 growing season.
-115.311656
-110.952490
41.957893
44.879291
2010-05-01T00:00:00
2010-11-30T00:00:00
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
322 East Front Street
Boise
Idaho
83720
gisinfo@idwr.idaho.gov
(208) 287-4800
(208) 287-6700
8:00 AM - 5:00 PM
Geospatial Technology Section
1
-116.393845
-115.148016
43.440704
42.912797
Geospatial Technology Section
Idaho Department of Water Resources
GIS
Geospatial Technology Section
322 East Front Street
Boise
Idaho
83720
gisinfo@idwr.idaho.gov
(208) 287-4800
(208) 287-6700
8:00 AM - 5:00 PM
See IDWR's Data Hub or AGOL to discover the URLs of our new services, hosted at https://gis.idwr.idaho.gov/hosting/rest/services.
https://gis.idwr.idaho.gov/hosting/rest/services
0.000
Layers are available by Years and Geographic Areas
File Geodatabase Feature Class
dataset
Esri
9.0.0
9408
Simple
FALSE
9408
TRUE
FALSE
Irrigated Lands Attribute Information
Feature Class
9408
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
ACRES
ACRES
Calculated acres of the polygon. This value must be manually calculated.
IDWR
Double
8
0
0
STATUS_2010
STATUS 2010
Irrigation Status in 2010. Values are either "irrigated", "non-irrigated" or "semi-irrigated"
irrigated
Area shows evidence that irrigation water is being applied to the property.
IDWR
non-irrigated
Area does not show evidence of irrigation - for example: no crop, no irrigation infrastructure,
IDWR
semi-irrigated
Residential area typically containing a mixture of irrigated areas and non-irrigated areas. Also includes concentrated anilmal feeding operations (CAFO)
IDWR
String
25
0
0
IDWR
20100501
20101130
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20220607
Irrigation status is determined using 2010 Landsat5 and Landsat7 imagery for the following dates:
Path41Row30: 05-05, 05-13, 05-29, 06-06, 06-14, 06-22, 06-30, 07-08, 07-16, 07-24, 08-01, 08-09, 08-17, 08-25, 09-02, 09-10, 09-18, 09-26, 10-04, 10-12, 10-20, 10-28.
The objective of this years-long project is to provide an updated characterization of groundwater resources of the Mountain Home plateau by developing a hydrogeologic framework and water budget for the study area. These data will provide IDWR with information to help address current water resource challenges in the Mountain Home plateau. The hydrogeologic framework and water budget developed from the Irrigated Lands data will also provide the conceptual basis for developing a potential future groundwater model.
Attribute assignments for irrigation status fall within three classes - irrigated, non-irrigated, and semi-irrigated - and are determined using available Landsat imagery as background reference. Landsat imagery is typically 30-meter resolution for Landsat5, Landsat7, and Landsat8. National Agriculture Inventory Program (NAIP) imagery, Digital Ortho Photo Quadrangle (DOQQ) imagery, and other in-house, scanned aerial imagery as appropriate and relevant is used for determining irrigation status and for refining the polygon geometry. The interpretation and classification process is described in detail in an internal (IDWR)document and may be made available upon request.
2022-05-31T00:00:00
"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.
Correct overlapping* polygon topology errors (*slightly overlapping polygons still exist, typically along pivot edges and/or roads)
Check Geometry Tool
Repair Geometry Tool
Eliminate slivers < 30 m2
2022-05-31T00:00:00
Topology rules were not present during the digitizing process but instead were used in the QA/QC process.
Given time constraints efforts have been made to refine positional accuracy based on NAIP and DOQQ imagery.
Visual inspection against available high resolution imagery and IDWR's water rights database.
Attribute assignments for irrigation status (irrigated, non-irrigated, and semi-irrigated) are determined using available Landsat imagery as background reference. Landsat 7, 8, and 9 imagery is typically 30-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.
Visual inspection against available high resolution 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 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.
Concentrated animal feeding operations are identified using Landsat and NAIP imagery in the Irrigated Lands Data layers.
A topology check was performed to repair overlapping polygons and data gaps of consequential size.
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.
Concentrated animal feeding operations are classified as semi-irrigated in the Irrigated Lands Data layers.
Overlapping polygons and data gaps of consequential size were minimized to the best of the analysts ability under existing time constraints.
The irrigated land data layer is limited to the Mountain Home plateau study area and not to the full extent of a Landsat path/row scene boundary.
Visual inspection and interpretation.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