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Remote Sens. 2017, 9(1), 46;

Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests

Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007, USA
Biosystems and Agricultural Engineering Department, Oklahoma State University, Stillwater, OK 74078, USA
South Dakota Water Resources Institute, South Dakota State University, Brookings, SD 57007, USA
Campus Floresta, Universidade Federal do Acre, Rio Branco de69920-900, Brazil
Author to whom correspondence should be addressed.
Academic Editors: Gabriel Senay and Prasad S. Thenkabail
Received: 4 October 2016 / Revised: 24 December 2016 / Accepted: 28 December 2016 / Published: 6 January 2017
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While forest evapotranspiration (ET) dynamics in the Amazon have been studied both as point estimates using flux towers, as well as spatially coarse surfaces using satellite data, higher resolution (e.g., 30 m resolution) ET estimates are necessary to address finer spatial variability associated with forest biophysical characteristics and their changes by natural and human impacts. The objective of this study is to evaluate the potential of the Landsat-based METRIC (Mapping Evapotranspiration at high Resolution with Internalized Calibration) model to estimate high-resolution (30 m) forest ET by comparing to flux tower ET (FT ET) data collected over seasonally dry tropical forests in Rondônia, the southwestern region of the Amazon. Analyses were conducted at daily, monthly and seasonal scales for the dry seasons (June–September for Rondônia) of 2000–2002. Overall daily ET comparison between FT ET and METRIC ET across the study site showed r2 = 0.67 with RMSE = 0.81 mm. For seasonal ET comparison, METRIC-derived ET estimates showed an agreement with FT ET measurements during the dry season of r2 >0.70 and %MAE <15%. We also discuss some challenges and potential applications of METRIC for Amazonian forests. View Full-Text
Keywords: evapotranspiration; METRIC; Landsat; rainforests; Amazon evapotranspiration; METRIC; Landsat; rainforests; Amazon

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Numata, I.; Khand, K.; Kjaersgaard, J.; Cochrane, M.A.; Silva, S.S. Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests. Remote Sens. 2017, 9, 46.

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