Carrillo Rojas, G.; Silva, B.; Cordova, M.; Celleri, R. & Bendix, J. (2016): <b>Dynamic Mapping of Evapotranspiration Using an Energy Balance-Based Model over an Andean Páramo Catchment of Southern Ecuador</b>. <i>Remote Sensing</i> <b>8</b>(2), 160 (1-24).
Resource Description
Title:
Dynamic Mapping of Evapotranspiration Using an Energy Balance-Based Model over an Andean Páramo Catchment of Southern Ecuador
FOR816dw ID:
1446
Publication Date:
2016-02-19
License and Usage Rights:
PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)<br/>
Subproject C6 (BE1780/38-1) <br/>
Project “Meteorological cycles and evapotranspiration along an elevational gradient in the Cajas National Park”-Research Office of the University of Cuenca (DIUC), Ecuador<br/>
Resource Owner(s):
Individual:
Galo Carrillo Rojas
Contact:
email:
gcarrillorojas <at> gmail.com
Phillips Universität Marburg (LCRS) & University of Cuenca (iDRHiCA)
Cuenca
Ecuador
email:
rcelleri <at> gmail.com
Dirección de Investigación
Cuenca
Ecuador
Individual:
Jörg Bendix
Contact:
email:
bendix <at> staff.uni-marburg.de
Faculty of Geography
Deutschhausstraße 10
Philipps University of Marburg
Laboratory for Climatology and Remote Sensing
35032 Marburg
Germany
Abstract:
Understanding of evapotranspiration (ET) processes over Andean mountain environments is crucial, particularly due to the importance of these regions to deliver water-related ecosystem services. In this context, the detection of spatio-temporal changes in ET remains poorly investigated for specific Andean ecosystems, like the páramo. To overcome this lack of knowledge, we implemented the energy-balance model METRIC with Landsat 7 ETM+ and MODIS-Terra imagery for a páramo catchment. The implementation contemplated adjustments for complex terrain in order to obtain daily, monthly and annual ET maps (between 2013 and 2014). In addition, we compared our results to the global ET product MOD16. Finally, a rigorous validation of the outputs was conducted with residual ET from the water balance. ET retrievals from METRIC (Landsat-based) showed good agreement with the validation-related ET at monthly and annual steps (mean bias error <8 mm·month?1 and annual deviation <17%). However, METRIC (MODIS-based) outputs and the MOD16 product were revealed to be unsuitable for our study due to the low spatial resolution. At last, the plausibility of METRIC to obtain spatial ET retrievals using higher resolution satellite data is demonstrated, which constitutes the first contribution to the understanding of spatially-explicit ET over an alpine catchment in the neo-tropical Andes.
