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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #334897

Research Project: Leveraging Remote Sensing, Land Surface Modeling and Ground-based Observations ... Variables within Heterogeneous Agricultural Landscapes

Location: Hydrology and Remote Sensing Laboratory

Title: Continuous evapotranspiration monitoring and water stress at watershed scale in a Mediterranean oak savanna

Author
item Carpintero, E. - Ifapa Centro Alameda Del Obispo
item Gonzalez-dugo, M.p. - Ifapa Centro Alameda Del Obispo
item Hain, C. - University Of Maryland
item Nieto, H. - Institute For Sustainable Agriculture
item Gao, Feng
item Andreu, A. - United Nations University
item Kustas, William - Bill
item Anderson, Martha

Submitted to: Proceedings of SPIE
Publication Type: Abstract Only
Publication Acceptance Date: 10/13/2017
Publication Date: 10/25/2017
Citation: Carpintero, E., Gonzalez-Dugo, M., Hain, C., Nieto, H., Gao, F.N., Andreu, A., Kustas, W.P., Anderson, M.C. 2017. Continuous evapotranspiration monitoring and water stress at watershed scale in a Mediterranean oak savanna. Proceedings of SPIE.Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 99980N;doi:10.1117/12.2241521.

Interpretive Summary:

Technical Abstract: The regular monitoring of the evapotranspiration rates and their links with vegetation conditions and soil moisture may support management and hydrological planning leading to reduce the economic and environmental vulnerability of complex water-controlled Mediterranean ecosystems. In this work, the monitoring of water use over a basin with a predominant oak savanna (known in Spain as dehesa) was conducted for two years, 2013 and 2014, monitoring ET at both fine spatial and temporal resolution in different seasons. A global 5 km daily ET product, developed with the ALEXI model and MODIS day-night temperature difference, was used as starting point. Flux estimations with higher spatial resolutions were obtained with the associated flux disaggregation scheme, DisALEXI, using surface temperature data from the polar orbiting satellites MODIS (1 Km, daily) and Landsat 7/8 (60-120m and sharpened to 30m, 16 days) and the previously estimated coarse resolution fluxes. The results achieved supported the ability of this scheme to accurately estimate daytime-integrated energy fluxes over this system, using input data with different spatio-temporal resolution and without the need for ground observations. Daily ET series at 30 m spatial resolution, generated using STARFM fusion technique, has provided a significant improvement in spatial heterogeneity assessment of the ET series, with RMSE values of 0.56 and 0.68 mm/day for each year, representing an enhancement with respect to interpolated Landsat series. In summary, this approach was demostrated to be robust and operative to map ET at watershed scale with a suitable spatial and temporal resolution for applications over the dehesa ecosystem.