Spatial Estimation of Net Radiation by Surface Energy Balance Algorithm for Land in Lalgudi Block | Zendy

J. Ramachandran et al. J. Ramachandran et al. | Zendy

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Spatial Estimation of Net Radiation by Surface Energy Balance Algorithm for Land in Lalgudi Block

Author(s) -

J. Ramachandran et al. J. Ramachandran et al.

Publication year - 2019

Publication title -

international journal of agricultural science and research

Language(s) - English

Resource type - Journals

eISSN - 2321-0087

pISSN - 2250-0057

DOI - 10.24247/ijasrjun201940

Subject(s) - net (polyhedron) , estimation , energy balance , environmental science , block (permutation group theory) , radiation , algorithm , energy (signal processing) , earth's energy budget , balance (ability) , remote sensing , computer science , mathematics , geography , statistics , physics , economics , ecology , biology , optics , geometry , neuroscience , management

The objective of this paper is to spatially estimate the net radiation by surface energy balance algorithm for land (SEBAL)model. The study was conducted in Lalgudi block of Trichy district, Tamil Nadu, India. Landsat 8 satellite images for four selected scenes (December 2014 & January 2015 and December 2017 & January 2018) were used to estimate the net radiation from the SEBAL model. The maximum net radiation was observed in water bodies that were around 650 W m. The net radiation was lesser (450 W m) from sand bed compared to all the other land uses. The net radiation from Paddy, sugarcane, Banana, Forest area, Coconut, and Prosopis was in the rangeof 560 to 600 W m. The net radiation from barren land was in the range of 530 to 560 W m. These results present SEBAL as a vital tool to be used in hydrological and environmental studies.

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