دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations
المؤلفون: 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
المصدر: Journal of Agrometeorology, Vol 25, Iss 4 (2023)
بيانات النشر: Association of agrometeorologists, 2023.
سنة النشر: 2023
المجموعة: LCC:Agriculture
مصطلحات موضوعية: Atmospheric Radiative Transfer Equation, Land Surface Temperature, MODTRAN, MODIS, Split-Window, Agriculture
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0972-1665
2583-2980
Relation: https://journal.agrimetassociation.org/index.php/jam/article/view/2286; https://doaj.org/toc/0972-1665; https://doaj.org/toc/2583-2980
DOI: 10.54386/jam.v25i4.2286
URL الوصول: https://doaj.org/article/f01d05b22e6d41949cd6e817cfef3da2
رقم الأكسشن: edsdoj.f01d05b22e6d41949cd6e817cfef3da2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:09721665
25832980
DOI:10.54386/jam.v25i4.2286