Cite as:
N&uacute;&ntilde;ez, P.&Aacute;.; Silva, B.; Schulz, M.; Rollenbeck, R. &amp; Bendix, J. (2021): <b>Evapotranspiration estimates for two tropical mountain forest using high spatial resolution satellite data</b>. <i>International Journal of Remote Sensing</i> <b>42</b>(8), 2940--2962.

Resource Description

Title: Evapotranspiration estimates for two tropical mountain forest using high spatial resolution satellite data
FOR816dw ID: 407
Publication Date: 2021-01-01
License and Usage Rights:
Resource Owner(s):
Individual: Paulina Álava Núñez
Individual: Brenner Silva
Individual: Martin Schulz
Individual: Rütger Rollenbeck
Individual: Jörg Bendix
Tropical Mountain Forest (TMF) provides important ecological func-<br/> tions like evapotranspiration (ET) that supplies moisture and energy <br/> to the atmosphere. ET observations are scarce and difficult to <br/> accomplish particularly in areas of high heterogeneity where TMF <br/> are. Remote sensing (RS) allows to quantify and to determine ET <br/> spatial variation at the landscape level. Detail imaginary improves <br/> high spatial variability retrieval. Thought the greater detail intro-<br/> duces cast shadows by trees which hamper image interpretation. <br/> The objective of this study is to characterize ET estimation for the <br/> TMF of the southern Ecuadorian Andes by combining meteorologi-<br/> cal data with high-resolution satellite images. Shadows from high <br/> resolution images were masked out by applying focal statistics. The <br/> analysis included two meteorological periods typical of the area; <br/> a wet period when rain prevails and a dry period when precipitation <br/> is more sporadic. The reference evapotranspiration (ET0) was calcu-<br/> lated using the FAO-Penman Montheid method by applying data <br/> obtained from an automatic weather station. The enhanced vege-<br/> tation index (EVI) was derived from 2 m resolution WorldView2 <br/> satellite images. Results showed a lower ET mean value during the <br/> wet period: 1.54 mm day−1 <br/> compared to 2.37 mm day−1<br/> . Two forest <br/> types, differentiated from its structural composition and topogra-<br/> phical position (ravine and ridge), marked ET spatial variation. <br/> Ravine forest that has a more dense and closed canopy showed <br/> higher ET values for both meteorological conditions. A comparison <br/> between ET estimations and ET field measurements from <br/> a scintillometer device showed a good agreement (coefficient of <br/> correlation r = 0.89) that proves the validity of the method. This <br/> study demonstrates that the application of high spatial resolution <br/> improves ET estimation in TMF especially when shadows are <br/> removed. Also, emphasizes the importance of analysing spatial <br/> heterogeneity to properly assess ecosystem water flux terms.
| remote sensing | South Ecuador | Evapotranspiration |
Literature type specific fields:
Journal: International Journal of Remote Sensing
Volume: 42
Issue: 8
Page Range: 2940--2962
Publisher: Taylor \& Francis
Metadata Provider:
Individual: Jörg Bendix
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