Abstract
The concerns of global warming effect have elevated the global inclination to interpret the mystery of surface temperature variations with respect to various aspects. Surface temperature (ST) plays a role as most substantial parameter in any environment. The effort attempts to present the satellite image processing methods for utilizing the state-of-the-art-enhanced adaptive technique (AET) to illustrate the spatial variability of ST. These methods can be helpful in computing the spatial variability at macro- to micro-scales. Therefore, spatial variability through AET was explored to demonstrate spatial scattering of surface temperatures. The outcomes seemingly revealed the aggregation and dispersion of spatial thermal configuration at the test area. The current work also presented the approach for assimilation of spatial variability information as a powerful reliable instrument to monitor the thermal dynamics within the region.
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Dr. DK conceived and designed the study, Ms. Tavishi performed the research, analyzed the data, and Dr. SS assessed the manuscript. Ms. Tavishi assisted with writing, and contributed editorial input.
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Kumar, D., Tewary, T. & Shekhar, S. Enhanced Adaptive Technique for Surface Temperature Variability Analysis. Iran J Sci Technol Trans Sci 42, 1309–1316 (2018). https://doi.org/10.1007/s40995-017-0469-5
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DOI: https://doi.org/10.1007/s40995-017-0469-5