Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10114144 | Remote Sensing of Environment | 2005 | 15 Pages |
Abstract
We combined remote sensing and in-situ measurements to estimate evapotranspiration (ET) from riparian vegetation over large reaches of western U.S. rivers and ET by individual plant types. ET measured from nine flux towers (eddy covariance and Bowen ratio) established in plant communities dominated by five major plant types on the Middle Rio Grande, Upper San Pedro River, and Lower Colorado River was strongly correlated with Enhanced Vegetation Index (EVI) values from the Moderate Resolution Imaging Spectrometer (MODIS) sensor on the NASA Terra satellite. The inclusion of maximum daily air temperatures (Ta) measured at the tower sites further improved this relationship. Sixteen-day composite values of EVI and Ta were combined to predict ET across species and tower sites (r2 = 0.74); the regression equation was used to scale ET for 2000-2004 over large river reaches with Ta from meteorological stations. Measured and estimated ET values for these river segments were moderate when compared to historical, and often indirect, estimates and ranged from 851-874 mm yrâ 1. ET of individual plant communities ranged more widely. Cottonwood (Populus spp.) and willow (Salix spp.) stands generally had the highest annual ET rates (1100-1300 mm yrâ 1), while mesquite (Prosopis velutina) (400-1100 mm yrâ 1) and saltcedar (Tamarix ramosissima) (300-1300 mm yrâ 1) were intermediate, and giant sacaton (Sporobolus wrightii) (500-800 mm yrâ 1) and arrowweed (Pluchea sericea) (300-700 mm yrâ 1) were the lowest. ET rates estimated from the flux towers and by remote sensing in this study were much lower than values estimated for riparian water budgets using crop coefficient methods for the Middle Rio Grande and Lower Colorado River.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Pamela L. Nagler, Russell L. Scott, Craig Westenburg, James R. Cleverly, Edward P. Glenn, Alfredo R. Huete,