Validation of the net radiation through sebal algorithm in different classes of land use and occupation in Rio de Janeiro

Authors

  • Henos Carlos Knupler Jordão Lisboa Universidade Federal Rural do Rio de Janeiro
  • Iris Cristiane Magistrali Universidade Federal Rural do Rio de Janeiro
  • Rafael Coll Delgado Universidade Federal Rural do Rio de Janeiro
  • José Francisco de Oliveira-Junior Universidade Federal Rural do Rio de Janeiro
  • Givanildo de Gois Universidade Federal Rural do Rio de Janeiro
  • Paulo Eduardo Teodoro Universidade Federal Rural do Rio de Janeiro

DOI:

https://doi.org/10.14393/BJ-v32n1a2016-33155

Keywords:

remote sensing, albedo.

Abstract

The aim of this study was (a) to assess and evaluate the net radiation (Rn) by SEBAL algorithm and (b) to assess the net radiation (Rn) by the landscape's spatial temporal dynamic using ISODATA algorithm, in entire city of Rio de Janeiro. Has been calculated the Rn by using the TM sensor images and orbital platform Landsat 5 and by Penman-Monteith method (FAO 56) with the conventional meteorological station data (EMC). The Rn values obtained with the SEBAL algorithm to the EMC cut area were slightly smaller than those obtained by the Penman-Monteith method (FAO 56), with VM = -36 (Wm-2) and EPE = 84.44 Wm-2. The Rn obtained by SEBAL has a high correlation with the values obtained in the surface. The Rn values obtained with the algorithm for the land use and occupation classes in the city of Rio de Janeiro were similar to those reported by other authors for the same classes.

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Published

2016-10-06

How to Cite

LISBOA, H.C.K.J., MAGISTRALI, I.C., DELGADO, R.C., OLIVEIRA-JUNIOR, J.F. de, GOIS, G. de and TEODORO, P.E., 2016. Validation of the net radiation through sebal algorithm in different classes of land use and occupation in Rio de Janeiro . Bioscience Journal [online], vol. 32, no. 5, pp. 1331–1340. [Accessed8 December 2022]. DOI 10.14393/BJ-v32n1a2016-33155. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/33155.

Issue

Section

Biological Sciences