Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil
by
Matheus Henrique Tavares 1,*
, Augusto Hugo Farias Cunha 1, David Motta-Marques 1, Anderson Luís Ruhoff 1, J. Rafael Cavalcanti 1, Carlos Ruberto Fragoso, Jr. 2, Juan Martín Bravo 1, Andrés Mauricio Munar 3, Fernando Mainardi Fan 1 and Lucia Helena Ribeiro Rodrigues 1
Matheus Henrique Tavares 1,*, Augusto Hugo Farias Cunha 1, David Motta-Marques 1, Anderson Luís Ruhoff 1, J. Rafael Cavalcanti 1, Carlos Ruberto Fragoso, Jr. 2, Juan Martín Bravo 1, Andrés Mauricio Munar 3, Fernando Mainardi Fan 1 and Lucia Helena Ribeiro Rodrigues 1
1
Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande do Sul, 91501-970 Porto Alegre, Rio Grande do Sul, Brazil
2
Centro de Tecnologia, Universidade Federal de Alagoas, 57072-900 Maceió, Alagoas, Brazil
3
Escuela de Ciencias Agrícolas, Pecuarias y del Medio Ambiente, Universidad Nacional Abierta y a Distancia, 111411 Bogotá, Colombia
*
Author to whom correspondence should be addressed.
Water 2019, 11(1), 168; https://doi.org/10.3390/w11010168
Received: 22 November 2018 / Revised: 9 January 2019 / Accepted: 13 January 2019 / Published: 18 January 2019
(This article belongs to the Section Aquatic Systems—Quality and Contamination)
Water temperature regulates many processes in lakes; therefore, evaluating it is essential to understand its ecological status and functioning, and to comprehend the impact of climate change. Although few studies assessed the accuracy of individual sensors in estimating lake-surface-water temperature (LSWT), comparative analysis considering different sensors is still needed. This study evaluated the performance of two thermal sensors, MODIS and Landsat 7 ETM+, and used Landsat methods to estimate the SWT of a large subtropical lake. MODIS products MOD11 LST and MOD28 SST were used for comparison. For the Landsat images, the radiative transfer equation (RTE), using NASA’s Atmospheric Correction Parameter Calculator (AtmCorr) parameters, was compared with the single-channel algorithm in different approaches. Our results showed that MOD11 obtained the highest accuracy (RMSE of 1.05 C), and is the recommended product for LSWT studies. For Landsat-derived SWT, AtmCorr obtained the highest accuracy (RMSE of 1.07 C) and is the recommended method for small lakes. Sensitivity analysis showed that Landsat-derived LSWT using the RTE is very sensitive to atmospheric parameters and emissivity. A discussion of the main error sources was conducted. We recommend that similar tests be applied for Landsat imagery on different lakes, further studies on algorithms to correct the cool-skin effect in inland waters, and tests of different emissivity values to verify if it can compensate for this effect, in an effort to improve the accuracy of these estimates.
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Keywords:
water-surface temperature; lakes; remote sensing; thermal infrared; Landsat; MODIS
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MDPI and ACS Style
Tavares, M.H.; Cunha, A.H.F.; Motta-Marques, D.; Ruhoff, A.L.; Cavalcanti, J.R.; Fragoso, C.R., Jr.; Martín Bravo, J.; Munar, A.M.; Fan, F.M.; Rodrigues, L.H.R. Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil. Water 2019, 11, 168.
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