Agroforestry as a Solution Elicited from the Connection between Land Surface Temperature and Spectral Indices in Mymensingh, Bangladesh

Abstract

The current investigation assessed the relationship between the Land Surface Temperature (LST) in terms of vegetation and built-up indices in the Mymensingh district during the winter season using Landsat 8 OLI/TIRS. The lowest LST indicated in the study has been found within areas where vegetation was the highest/most dense while the highest LST was found in areas with increasing built-up. It was also found that LST-NDVI (R2 = 0.74) and LST-NDBI (R2 = 0.99) possess a negative and positive correlation respectively thus showing that the applied methods show efficient techniques to monitor and correlate the LST with the spectral indices. Although the phenomena of urbanization cannot be stopped entirely, however, it can be controlled through proper planning and stricter policies which can ensure adequate living for all the residents along with a balanced ecosystem. As a consequence of growing urbanization, there exists serious stress on vegetation therefore, the application of agroforestry technology on a large scale can ensure better living and improve socio-economic conditions. Keywords: LST, NDVI, NDBI, Landsat 8 OLI/TIRS, Agroforestry.