Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations

Authors

  • JALPESH A. DAVE N. V. Patel College of Pure and Applied Sciences, CVM University, Vallabh Vidyanagar 388120, Gujarat, India
  • MEHUL R. PANDYA Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380015, Gujarat, India
  • DHIRAJ B. SHAH Sir P.T. Sarvajanik College of Science, Veer Narmad South Gujrat University, Surat 395001, Gujarat, India
  • HASMUKH K. VARCHAND N. V. Patel College of Pure and Applied Sciences, CVM University, Vallabh Vidyanagar 388120, Gujarat, India
  • PARTHKUMAR N. PARMAR N. V. Patel College of Pure and Applied Sciences, CVM University, Vallabh Vidyanagar 388120, Gujarat, India
  • HIMANSHU J. TRIVEDI N. V. Patel College of Pure and Applied Sciences, CVM University, Vallabh Vidyanagar 388120, Gujarat, India
  • VISHAL N. PATHAK Sir P.T. Sarvajanik College of Science, Veer Narmad South Gujrat University, Surat 395001, GujaratSir P.T. Sarvajanik College of Science, Veer Narmad South Gujrat University, Surat 395001, Gujarat, India
  • MANOJ SINGH N. V. Patel College of Pure and Applied Sciences, CVM University, Vallabh Vidyanagar 388120, Gujarat, India
  • DISHA B. KARDANI Sir P.T. Sarvajanik College of Science, Veer Narmad South Gujrat University, Surat 395001, Gujarat, India

DOI:

https://doi.org/10.54386/jam.v25i4.2286

Keywords:

Atmospheric Radiative Transfer Equation, Land Surface Temperature, MODTRAN, MODIS, Split-Window

Abstract

MODIS Land Surface Temperature (LST) product is extensively used in agricultural studies like crop health assessment, soil moisture estimation, irrigation management, land use land cover change, air-temperature retrieval and crop water stress detection. Numerous studies have used Split Window (SW) algorithms to retrieve LST from MODIS TIR bands. Among them, some utilize Sensor View Angle Dependent (SVAD) or Columnar Water Vapor Dependent (CWVD) SW algorithms. Present study aims to make use of SVAD and CWVD SW algorithms and compare them to evaluate the LST retrieval accuracy over various land surface type. Theoretical accuracy assessment of the CWVD and SVAD algorithms demonstrates a good accuracy with the RMSE of 1.09K and 1.42K, respectively. The experimental retrieval of LST achieves exceptionally good accuracy, with a RMSE of 1.45K in the CWVD algorithm and 1.80K in the SVAD algorithm, particularly in heterogeneous regions. In homogeneous regions, the RMSE values are 1.14K in CWVD and 1.10K in SVAD. Both algorithms exhibit satisfactory accuracy; nevertheless, the application of these algorithms may vary in agricultural contexts. Based on the obtained results and the inclusion of required parameters, we have arrived at a conclusion regarding the superior performance of the SVAD compared to the CWVD for LST retrieval.

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Published

30-11-2023

How to Cite

DAVE, J. A., PANDYA, M. R., SHAH, D. B., VARCHAND, H. K., PARMAR, P. N., TRIVEDI, H. J., PATHAK, V. N., SINGH, M., & KARDANI, D. B. (2023). Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations. Journal of Agrometeorology, 25(4), 510–516. https://doi.org/10.54386/jam.v25i4.2286

Issue

Vol. 25 No. 4 (2023): December (Silver Jubilee Publication)

Section

Research Paper

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Copyright (c) 2023 JALPESH A. DAVE, MEHUL R. PANDYA, DHIRAJ B. SHAH, HASMUKH K. VARCHAND, PARTHKUMAR N. PARMAR, HIMANSHU J. TRIVEDI, VISHAL N. PATHAK, MANOJ SINGH, DISHA B. KARDANI

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