Time series assessment of the relationship between land surface temperature due to change in elevation: a case study from Hindukush-Himalayan Region (HKH)

摘要: Environmental studies that include related to climate change, change in biodiversity, and hydrology consider land surface temperature (LST) near-surface air as significant variables contribute. In this context, we investigated the time series assessment of relationship between LST elevation over two decades (1995–2017) using remotely sensed (Landsat 5, Landsat 7, 8, MODIS) ground weather stations’ datasets. The study area is Gilgit-Baltistan, northern province Pakistan Hindukush Himalaya Region (HKH), was selected for quantitative analysis it has high significance terms due presence very large number mountains difficult terrain heavily covered with snow glaciers. To assess LST, a linear regression model developed quantify key factors affecting it. Our research results show there exists strong negative (with correlation coefficient 0.61 on average) all datasets (remotely situ) consistent period both seasons winter summer. Further, difference different (average summer 3.0 °C) (Landsat, MODIS, dataset). There greater 1000 m vertically compared horizontally. indicate trend from 1995 2007 downward minor variation, however, changes into upward 2017. comparison dataset shows consistency elevation. However, less summers (0.76 winters, i.e., 3.94 °C.