In the State of Colorado, Riverside Technology, inc. conducted a project, in collaboration with the CWCB, to compare traditional consumptive-use estimates from Colorado StateCU decision support system (DSS) and Landsat thermal data processed in METRIC. The results showed that application of METRIC model on Landsat thermal imagery provides more consistent output than that of the StateCU model. The METRIC model in conjunction with Landsat data is also able to identify consumptive use variation along the river reach.
In the State of Colorado, Riverside Technology, inc. conducted a project, in collaboration with the CWCB, to compare traditional consumptive-use estimates from Colorado StateCU decision support system (DSS) and Landsat thermal data processed in METRIC (fig. 1). The results showed that application of METRIC model on Landsat thermal imagery provides more consistent output than that of the StateCU model (figs. 2 and 3). The METRIC model in conjunction with Landsat data is also able to identify consumptive use variation along the river reach. This type of precision is not generally estimable with the StateCU model. The CWCB is using the results to evaluate decisions regarding future water use, through alternative methods of consumptive use measuring and monitoring and potential modeling cost savings.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Below are other science projects associated with this project.
Case Studies of Landsat Imagery Use
- Overview
In the State of Colorado, Riverside Technology, inc. conducted a project, in collaboration with the CWCB, to compare traditional consumptive-use estimates from Colorado StateCU decision support system (DSS) and Landsat thermal data processed in METRIC. The results showed that application of METRIC model on Landsat thermal imagery provides more consistent output than that of the StateCU model. The METRIC model in conjunction with Landsat data is also able to identify consumptive use variation along the river reach.
In the State of Colorado, Riverside Technology, inc. conducted a project, in collaboration with the CWCB, to compare traditional consumptive-use estimates from Colorado StateCU decision support system (DSS) and Landsat thermal data processed in METRIC (fig. 1). The results showed that application of METRIC model on Landsat thermal imagery provides more consistent output than that of the StateCU model (figs. 2 and 3). The METRIC model in conjunction with Landsat data is also able to identify consumptive use variation along the river reach. This type of precision is not generally estimable with the StateCU model. The CWCB is using the results to evaluate decisions regarding future water use, through alternative methods of consumptive use measuring and monitoring and potential modeling cost savings.
METRIC-derived evapotranspiration estimates for irrigated fields in eastern Colorado. Courtesy of Riverside Technology, inc.
METRIC-derived evapotranspiration estimates for specific crops in eastern Colorado. Courtesy of Riverside Technology, inc.
Comparison of evapotranspiration estimates in eastern Colorado from METRIC (top) and the Colorado StateCU model (bottom). Courtesy of Riverside Technology, inc. (mm, millimeters) Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
- Science
Below are other science projects associated with this project.
Case Studies of Landsat Imagery Use
Having access to Landsat imagery provides the irreplaceable opportunity to observe landscape change on a long-term and global scale. These featured case studies demonstrate the value of Landsat imagery by providing specific examples of how people around the world are using the data to answer meaningful questions.