The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model

N.S. Rocha; P.S. Kafer; D. Skokovic; G. Veeck; L.R. Diaz; E. Kaiser; C.M. Carvalho; B.K. Veettil; S.T.L. Costa; R.C. Cruz; D. Roberti; S.B.A. Rolim

doi:10.1109/LAGIRS48042.2020.9165570

The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model

N.S. Rocha, P.S. Kafer, D. Skokovic, G. Veeck, L.R. Diaz, E. Kaiser, C.M. Carvalho, B.K. Veettil, S.T.L. Costa, R.C. Cruz, D. Roberti, S.B.A. Rolim

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

© 2020 IEEE.Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of Land Surface Temperature (LST) can cause on ET estimates by S-SEBI model in Pampa Biome area. The results indicate that the daily evapotranspiration is higher when the pixel LST is lower, which also shows the influence of land use on the variability of ET. They also demonstrated the importance of LST's accuracy in the selection of the driest and wettest pixels in applying S-SEBI model, because when there are uncertainties in estimates of LST, the errors in the estimates of the energy components multiply. The Pampa Biome native grass crops have lower Latent Heat Flux (LET) than other land uses, with higher values of LET during the spring-summer period when compared to autumn-winter.

Original language	English
Title of host publication	2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	22-27
ISBN (Electronic)	9781728143507
DOIs	https://doi.org/10.1109/LAGIRS48042.2020.9165570
Publication status	Published - 1 Mar 2020
Externally published	Yes
Event	2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Santiago, Chile Duration: 22 Mar 2020 → 26 Mar 2020

Conference

Conference	2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020
Country/Territory	Chile
City	Santiago
Period	22/03/20 → 26/03/20

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Rocha, N. S., Kafer, P. S., Skokovic, D., Veeck, G., Diaz, L. R., Kaiser, E., Carvalho, C. M., Veettil, B. K., Costa, S. T. L., Cruz, R. C., Roberti, D., & Rolim, S. B. A. (2020). The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model. In 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings (pp. 22-27). [9165570] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LAGIRS48042.2020.9165570

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title = "The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model",

abstract = "{\textcopyright} 2020 IEEE.Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of Land Surface Temperature (LST) can cause on ET estimates by S-SEBI model in Pampa Biome area. The results indicate that the daily evapotranspiration is higher when the pixel LST is lower, which also shows the influence of land use on the variability of ET. They also demonstrated the importance of LST's accuracy in the selection of the driest and wettest pixels in applying S-SEBI model, because when there are uncertainties in estimates of LST, the errors in the estimates of the energy components multiply. The Pampa Biome native grass crops have lower Latent Heat Flux (LET) than other land uses, with higher values of LET during the spring-summer period when compared to autumn-winter.",

author = "N.S. Rocha and P.S. Kafer and D. Skokovic and G. Veeck and L.R. Diaz and E. Kaiser and C.M. Carvalho and B.K. Veettil and S.T.L. Costa and R.C. Cruz and D. Roberti and S.B.A. Rolim",

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month = mar,

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doi = "10.1109/LAGIRS48042.2020.9165570",

language = "English",

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booktitle = "2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings",

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note = "2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 ; Conference date: 22-03-2020 Through 26-03-2020",

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Rocha, NS, Kafer, PS, Skokovic, D, Veeck, G, Diaz, LR, Kaiser, E, Carvalho, CM, Veettil, BK, Costa, STL, Cruz, RC, Roberti, D & Rolim, SBA 2020, The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model. in 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings., 9165570, Institute of Electrical and Electronics Engineers Inc., pp. 22-27, 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020, Santiago, Chile, 22/03/20. https://doi.org/10.1109/LAGIRS48042.2020.9165570

The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model. / Rocha, N.S.; Kafer, P.S.; Skokovic, D. et al.

2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 22-27 9165570.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model

AU - Rocha, N.S.

AU - Kafer, P.S.

AU - Skokovic, D.

AU - Veeck, G.

AU - Diaz, L.R.

AU - Kaiser, E.

AU - Carvalho, C.M.

AU - Veettil, B.K.

AU - Costa, S.T.L.

AU - Cruz, R.C.

AU - Roberti, D.

AU - Rolim, S.B.A.

PY - 2020/3/1

Y1 - 2020/3/1

N2 - © 2020 IEEE.Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of Land Surface Temperature (LST) can cause on ET estimates by S-SEBI model in Pampa Biome area. The results indicate that the daily evapotranspiration is higher when the pixel LST is lower, which also shows the influence of land use on the variability of ET. They also demonstrated the importance of LST's accuracy in the selection of the driest and wettest pixels in applying S-SEBI model, because when there are uncertainties in estimates of LST, the errors in the estimates of the energy components multiply. The Pampa Biome native grass crops have lower Latent Heat Flux (LET) than other land uses, with higher values of LET during the spring-summer period when compared to autumn-winter.

AB - © 2020 IEEE.Evapotranspiration (ET) is one of the least understood components of the hydrological cycle. Its application is varied, from agricultural, ecological and hydrological monitoring, to control of the evolution of climate change. The goal of this work was to analyze the influence that uncertainties in the estimate of Land Surface Temperature (LST) can cause on ET estimates by S-SEBI model in Pampa Biome area. The results indicate that the daily evapotranspiration is higher when the pixel LST is lower, which also shows the influence of land use on the variability of ET. They also demonstrated the importance of LST's accuracy in the selection of the driest and wettest pixels in applying S-SEBI model, because when there are uncertainties in estimates of LST, the errors in the estimates of the energy components multiply. The Pampa Biome native grass crops have lower Latent Heat Flux (LET) than other land uses, with higher values of LET during the spring-summer period when compared to autumn-winter.

U2 - 10.1109/LAGIRS48042.2020.9165570

DO - 10.1109/LAGIRS48042.2020.9165570

M3 - Conference contribution

SP - 22

EP - 27

BT - 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020

Y2 - 22 March 2020 through 26 March 2020

ER -

Rocha NS, Kafer PS, Skokovic D, Veeck G, Diaz LR, Kaiser E et al. The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model. In 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 22-27. 9165570 doi: 10.1109/LAGIRS48042.2020.9165570

The Evaluation of the Influence of Land Surface Temperature in Energy Balance Estimated by S-Sebi Model

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