Manifestation of land surface albedo and temperature dynamics towards land cover

Land surface albedo studies have always been dominated by the snow-covered area while snow-free area albedo effects induced by the land use and land covers are much less documented. The objective of this study is to investigate the significant differences of land surface albedo (LSA) and land surface temperature (LST) across the multiple types of land use and land cover (LULC) using remote sensing technique. Single way ANOVA Post Hoc Tukey’s Honesty Significance Difference (HSD) test was conducted to perform 25 comparisons of five (5) land use land covers. The LSA, LST and LULC data were acquired and prepared through remote sensing techniques, thus each gridded values of LULC classifications can be used to extract the pixel values of LSA and LST consistently. There are significant differences in term of values of LSA and LST across the LULC In the year 1999, the LSA of groups 3 and5 were not statistically significant (mean difference of ±0.0000756) and the LST of groups 4and 5 differences were also not statistically significant (mean difference of ±0.0281855). For the year 2009, the LST of groups 2 and 5, and 3 and 4 were not statistically significant with mean differences of ±0.0293095 and ±0.1000526 respectively. As for 2006, the LSA and LST of all groups of land cover appeared to be statistically significant (p < 0.00048) while in 2011only one LST comparison (groups 4 and 5) appeared to be not significantly difference with a mean difference of ±0.0813049, which indicates that the land use from these groups does not significantly influence the fluctuation of LST in this region. Thus, the result in this study indicates that, it is important to quantify LSA and even the snow free region have a significant difference value of albedo. Hence, as it has been recorded as an Essential Climate Variables, it is crucial for climate researcher especially in the snow free region to also include and calibrates this bio-geophysical response of land surface variable in their simulation and research studies.