%0 Dataset
%T A global seamless 1 km resolution daily land surface temperature dataset (2003–2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/15a5fea8-74d2-4e26-858d-1526744261aa
%W NCDC
%R 10.25380/iastate.c.5078492.v3
%A Zhou Yuyu
%K MODIS;seamless;Surface Temperature (LST)
%X Land surface temperature (LST) is one of the most important and widely used parameters for studying land surface processes. The surface temperature products of the Moderate Resolution Imaging Spectroradiometer (MODIS), such as MOD11A1 and MYD11A1, can provide surface temperature information with medium spatiotemporal resolution covering the globe. However, the application of these data has been hindered by missing values caused by factors such as cloud pollution, indicating the need to create a seamless global LST dataset similar to MODIS, which currently does not exist. In this study, we utilized a spatiotemporal imputation framework to generate a seamless global 1 km daily (mid day and mid night) MODIS LST dataset based on standard MODIS LST products from 2003 to 2020.