A long-term monthly assessment of land surface temperature and normalized difference vegetation index using Landsat data

نویسندگان

چکیده

Abstract The present study assesses the monthly variation of land surface temperature (LST) and relationship between LST normalized difference vegetation index (NDVI) in Raipur City India using one hundred eighteen Landsat images from 1988 to 2019. results show that a is observed mean LST. highest found April (38.79oC), followed by May (36.64oC), June (34.56oC), March (32.11oC).The lowest January (23.01oC), December (23.76oC), November (25.83oC). A moderate range noticed September (27.18oC), October (27.22oC), February (27.88oC). Pearson's linear correlation method used correlate with NDVI. LST-NDVI strong negative (-0.62), (-0.55), (-0.51). developed (-0.40), (-0.44), (-0.47), (-0.39). weak (-0.21), (-0.24), (-0.29). change weather elements characteristics contribute fluctuation correlation. will be an effective for town country planners their future estimation conversion.

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ژورنال

عنوان ژورنال: Urbe. Revista Brasileira de Gestão Urbana

سال: 2021

ISSN: ['2175-3369']

DOI: https://doi.org/10.1590/2175-3369.013.e20200345