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| Type: | Resource | |
| Storage: | The size of this resource is 196.0 MB | |
| Created: | Aug 03, 2017 at 11:10 p.m. | |
| Last updated: | Sep 19, 2017 at 2:41 a.m. (Metadata update) | |
| Published date: | Sep 19, 2017 at 2:41 a.m. | |
| DOI: | 10.4211/hs.55331a41d5f34c97baf90beb910af070 | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content Geographic Raster Content |
| Sharing Status: | Published |
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| Views: | 5518 |
| Downloads: | 561 |
| +1 Votes: | 2 others +1 this |
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Abstract
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.
Preferred citation:
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 Metadata
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, jillian.deines@gmail.com
Subject Keywords
Coverage
Spatial
Temporal
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Content
Data Services
Credits
Funding Agencies
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 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Tianfang Xu | ||||
| Jeremy Rapp |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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