Long-term (1986–2015) Crop Water Use Characterization over the Upper Rio Grande Basin using Landsat-based Evapotranspiration
Dates
Start Date
1986
End Date
2015
Publication Date
2019-07-01
Citation
Senay, G., Schauer, M.P., Velpuri, N.M., Singh, R.K., Kagone, S., Friedrichs, M.O., Litvak, M.E., and Douglas-Mankin, K.R., Long-term (1986–2015) Crop Water Use Characterization over the Upper Rio Grande Basin using Landsat-based Evapotranspiration: U.S. Geological Survey data release, https://doi.org/10.5066/P9KOPFQ9.
Summary
Evaluation of historical water use in the Upper Rio Grande Basin (URGB) using Landsat-derived actual evapotranspiration (ETa) from 1986 to 2015 is presented here as a first of its kind study applying satellite observations for quantifying long term, basin-wide crop consumptive use at a large basin. The rich archive of Landsat imagery combined with the Operational Simplified Surface Energy Balance (SSEBop) model was used to estimate and map ETa across the basin and over irrigated fields for historical characterization of water use dynamics. Monthly ETa estimates were evaluated using six eddy covariance (EC) flux towers showing strong correspondence (R2 > 0.80), with reasonable error rates (root mean square error between 6 and 19 mm/month). [...]
Summary
Evaluation of historical water use in the Upper Rio Grande Basin (URGB) using Landsat-derived actual evapotranspiration (ETa) from 1986 to 2015 is presented here as a first of its kind study applying satellite observations for quantifying long term, basin-wide crop consumptive use at a large basin. The rich archive of Landsat imagery combined with the Operational Simplified Surface Energy Balance (SSEBop) model was used to estimate and map ETa across the basin and over irrigated fields for historical characterization of water use dynamics. Monthly ETa estimates were evaluated using six eddy covariance (EC) flux towers showing strong correspondence (R2 > 0.80), with reasonable error rates (root mean square error between 6 and 19 mm/month). Detailed spatiotemporal analysis using peak growing season (June-August) ETa over irrigated areas revealed declining regional crop water use patterns throughout the basin, a trend reinforced through comparisons with gridded ETa from the Max Planck Institute (MPI). The interrelationships among seven agro-hydroclimatic variables (ETa, Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Maximum Air Temperature (Ta), potential ET (ETo), precipitation, and runoff) are all summarized to support the assessment and context of historical water use dynamics over 30 years in the URGB.
Click on title to download individual files attached to this item.
URGB_CropWaterUseCharacterization.xml Original FGDC Metadata
View
12.24 KB
application/fgdc+xml
ETaAnomaly1990.zip
19.05 MB
application/zip
ETaAnomaly2000.zip
19 MB
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ETaAnomaly1995.zip
18.94 MB
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ETaAnomaly2005.zip
19.07 MB
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MaxCroplandExtent.zip
1.08 MB
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ETaAnomaly2010.zip
19.02 MB
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ETaAnomaly2015.zip
19.02 MB
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PvalueMKTrends.zip
302.99 MB
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RateOfChange.zip
506.26 MB
application/zip
Related External Resources
Type: Related Primary Publication
Senay, G.B., Schauer, M., Velpuri, N.M., Singh, R.K., Kagone, S., Friedrichs, M., Litvak, M.E., and Douglas-Mankin, K.R., 2019, Long-Term (1986–2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration: Remote Sensing, v. 11, no. 13, p. 1587, https://doi.org/10.3390/rs11131587.
Data product is a result of water use modeling with the SSEBop ET model and associated analyses. Data were formatted and uploaded to ScienceBase by MacKenzie Friedrichs (mfriedrichs@contractor.usgs.gov). Data Source: Input directly.
