A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2015

dataset

posted on 2021-07-02, 17:00 authored by Tao ZhangTao Zhang, Yuyu ZhouYuyu Zhou, Zhengyuan Zhu, Xiaoma Li, Ghassem Asrar

This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2015 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11A1), using a spatiotemporal gap-filling algorithm. The seamless LST dataset is of great use in global studies of urban, climate, and ecosystems.

Funding

College of Liberal Arts and Science’s (LAS) Dean’s Emerging Faculty Leaders award at the Iowa State University

UNS: Integrated assessments of urbanization impacts on building energy use for urban energy sustainability

Directorate for Engineering

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A global seamless 1 km resolution daily land surface temperature dataset (2003–2020)

Keywords

land surface temperature (LST)MODIS gap-filling Earth Sciences not elsewhere classified Environmental Science Climate Science

Licence

CC BY 4.0