Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data
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| Resource type: | Composite Resource | |
| Storage: | The size of this resource is 74.8 MB | |
| Created: | Feb 09, 2019 at 9:58 p.m. | |
| Last updated: | Feb 10, 2019 at 8:46 p.m.
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| DOI: | 10.4211/hs.3766845be72d45969fca21530a67bb2d | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Raster Content |
| Sharing Status: | Published |
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| Downloads: | 86 |
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Abstract
Preferred citation:
Xu, T., Deines, J., Kendall, A., Basso, B., and Hyndman, DW. 2019. Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data. Remote Sensing.
We developed annual, 30-m resolution maps of irrigated corn and soybeans for southwestern Michigan from 2001 to 2016 using a machine learning method (random forest). Please see Xu et al. 2019 for full details. The rasters are in UINT 8 format, with 0 indicates rainfed, 1 indicates irrigated, and 3 indicates masked (not row crops according to NLCD before 2007 and not corn or soybeans according to CDL since 2007).
Subject Keywords
Resource Level Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Southwestern Michigan
North Latitude
42.7839°
East Longitude
-84.6000°
South Latitude
41.7595°
West Longitude
-86.8279°
Temporal
| Start Date: | |
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| End Date: |
Content
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Data Services
The following web services are available for data contained in this resource. Geospatial Feature and Raster
data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted
into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server
using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to
support additional data types.
How to Cite
| Xu, T., J. M. Deines, A. Kendall, B. Basso, D. W. Hyndman (2019). Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data, HydroShare, https://doi.org/10.4211/hs.3766845be72d45969fca21530a67bb2d |
This resource is shared under the Creative Commons Attribution CC BY.
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