Annual Irrigation Maps - Republican River Basin (AIM-RRB; Deines et al. 2017)
|Authors:||Jillian Deines · David Hyndman · Anthony Kendall|
|DOI:||10.4211/hs.55331a41d5f34c97baf90beb910af070 How to Cite|
|Resource type:||Composite Resource|
|Created:||Aug 03, 2017 at 11:10 p.m.|
|Last updated:||Sep 20, 2017 at midnight by Jillian Deines|
This resource is a repository of the map products for the Annual Irrigation Maps - Republican River Basin (AIM-RRB) dataset produced in Deines et al. 2017. It also provides the training and test point datasets used in the development and evaluation of the classifier algorithm. The maps cover a 141,603 km2 area in the northern High Plains Aquifer in the United States centered on the Republican River Basin, which overlies portions of Colorado, Kansas, and Nebraska. AIM-RRB provides annual irrigation maps for 18 years (1999-2016). Please see Deines et al. 2017 for full details.
Deines, J.M., A.D. Kendall, and D.W. Hyndman. 2017. Annual irrigation dynamics in the US Northern High Plains derived from Landsat satellite data. Geophysical Research Letters. DOI: 10.1002/2017GL074071
Map products are projected in EPSG:5070 - CONUS Albers NAD83
Raster value key:
0 = Not irrigated
1 = Irrigated
254 = NoData, masked by urban, water, forest, or wetland land used based on the National Land Cover Dataset (NLCD)
255 = NoData, outside of study boundary
Training and test point data sets supply coordinates in latitude/longitude (WGS84). Column descriptions for each file can be found below in the "File Metadata" tab when the respective file is selected in the content window.
Corresponding author: Jillian Deines, firstname.lastname@example.org
irrigation,remote sensing,Republican River Basin,High Plains Aquifer,AIM,Google Earth Engine,agriculture
How to cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate System/Geographic Projection:||WGS 84 EPSG:4326|
|Coordinate Units:||Decimal degrees|
|Jillian Deines||Michigan State University|
|David Hyndman||Michigan State University|
|Anthony Kendall||Michigan State University|
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This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|INFEWS, supported by NSF and USDA-NIFA||Developing Pathways Toward Sustainable Irrigation across the United States Using Process-based Systems Models (SIRUS)||Continuing support|
|National Aeronautics and Space Administration (NASA) Earth and Space Science Fellowship Program||Groundwater and Economic Sustainability in Agricultural Systems Under Climate Change: A Coupled Human-Natural Systems Approach||14- EARTH14F-198|
|National Science Foundation||CLASS: Coupled Landscape, Atmospheric, and Socioeconomic Systems (High Plains Aquifer)||WSC 1039180|
|USDA NIFA||Developing and Promoting Water-, Nutrient-, and Climate-Smart Technologies to Help US Agricultural Systems Adapt to Climate and Societal Changes||2015-68007- 23133|
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