Articles | Volume 20, issue 11
Hydrol. Earth Syst. Sci., 20, 4409–4438, 2016
Hydrol. Earth Syst. Sci., 20, 4409–4438, 2016

Research article 02 Nov 2016

Research article | 02 Nov 2016

Remote sensing algorithm for surface evapotranspiration considering landscape and statistical effects on mixed pixels

Zhi Qing Peng et al.

Related authors

Estimating daily evapotranspiration based on a model of evaporative fraction (EF) for mixed pixels
Fugen Li, Xiaozhou Xin, Zhiqing Peng, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 23, 949–969,,, 2019
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Remote Sensing and GIS
Validation of SMAP L2 passive-only soil moisture products using upscaled in situ measurements collected in Twente, the Netherlands
Rogier van der Velde, Andreas Colliander, Michiel Pezij, Harm-Jan F. Benninga, Rajat Bindlish, Steven K. Chan, Thomas J. Jackson, Dimmie M. D. Hendriks, Denie C. M. Augustijn, and Zhongbo Su
Hydrol. Earth Syst. Sci., 25, 473–495,,, 2021
Short summary
Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa
Moctar Dembélé, Bettina Schaefli, Nick van de Giesen, and Grégoire Mariéthoz
Hydrol. Earth Syst. Sci., 24, 5379–5406,,, 2020
Short summary
Data-driven estimates of evapotranspiration and its controls in the Congo Basin
Michael W. Burnett, Gregory R. Quetin, and Alexandra G. Konings
Hydrol. Earth Syst. Sci., 24, 4189–4211,,, 2020
Short summary
Ability of an Australian reanalysis dataset to characterise sub-daily precipitation
Suwash Chandra Acharya, Rory Nathan, Quan J. Wang, Chun-Hsu Su, and Nathan Eizenberg
Hydrol. Earth Syst. Sci., 24, 2951–2962,,, 2020
Short summary
A daily 25 km short-latency rainfall product for data-scarce regions based on the integration of the Global Precipitation Measurement mission rainfall and multiple-satellite soil moisture products
Christian Massari, Luca Brocca, Thierry Pellarin, Gab Abramowitz, Paolo Filippucci, Luca Ciabatta, Viviana Maggioni, Yann Kerr, and Diego Fernandez Prieto
Hydrol. Earth Syst. Sci., 24, 2687–2710,,, 2020
Short summary

Cited articles

Agam, N., Kustas, W. P., Anderson, M. C., Li, F., and Colaizzi, P. D.: Utility of thermal sharpening over Texas high plains irrigated agricultural fields, J. Geophys. Res.-Atmos., 112, D19110,, 2007.
Allen, R., Tasumi, M., and Trezza, R.: Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC) – Model, J. Irrig. Drain. E.-ASCE, 133, 380–394,, 2007.
Ambast, S. K., Keshari, A. K., and Gosain, A. K.: An operational model for estimating Regional Evapotranspiration through Surface Energy Partitioning (RESEP), Int. J. Remote Sens., 23, 4917–4930,, 2002.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, J. Hydrol., 212–213, 198–212,, 1998.
Bateni, S. M. and Liang, S.: Estimating surface energy fluxes using a dual-source data assimilation approach adjoined to the heat diffusion equation, J. Geophys. Res.-Atmos. 117, D17118,, 2012.
Short summary
A remote sensing algorithm named temperature sharpening and flux aggregation (TSFA) was applied to HJ-1B satellite data to estimate evapotranspiration over heterogeneous surface considering landscape and statistical effects on mixed pixels. Footprint validation results showed TSFA was more accurate and less uncertain than other two upscaling methods. Additional analysis and comparison showed TSFA can capture land surface heterogeneities and integrate the effect of landscapes within mixed pixels.