Introducing QWaterModel, a QGIS plugin for predicting evapotranspiration from land surface temperatures

2020 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​Introducing QWaterModel, a QGIS plugin for predicting evapotranspiration from land surface temperatures​
Ellsäßer, F.; Röll, A.; Stiegler, C. ; Hendrayanto, H. & Hölscher, D.​ (2020) 
Environmental Modelling & Software130 pp. 104739​.​ DOI: https://doi.org/10.1016/j.envsoft.2020.104739 

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Authors
Ellsäßer, Florian; Röll, Alexander; Stiegler, Christian ; Hendrayanto, H.; Hölscher, Dirk
Abstract
Evapotranspiration (ET) is a central flux in the hydrological cycle. Various approaches to compute ET via energy balance models exist, but their handling is often complex and challenging. We developed QWaterModel as an easy-to-use tool to make ET predictions available to broader audiences. QWaterModel is based on the DATTUTDUT energy balance model and uses land surface temperature maps as an input. Such maps can e.g. be obtained from satellite, drone or handheld camera imagery. In the present study, we successfully tested QWaterModel for predicting ET in a tropical oil palm plantation against the well-established eddy covariance method. QWaterModel is compatible with all versions of QGIS3 and is available from the official QGIS Plugin Repository.
Issue Date
2020
Journal
Environmental Modelling & Software 
Project
SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien) 
SFB 990 | A | A02: Wassernutzungseigenschaften von Bäumen und Palmen in Regenwald-Transformationssystemen Zusammenfassung 
SFB 990 | A | A03: Untersuchung von Land-Atmosphäre Austauschprozesse in Landnutzungsänderungs-Systemen 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Büsgen-Institut ; Burckhardt-Institut ; Abteilung Bioklimatologie ; Abteilung Waldbau und Waldökologie der Tropen 
ISSN
1364-8152
Language
English
Subject(s)
sfb990_journalarticles

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