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Remote Sens. 2017, 9(12), 1333; https://doi.org/10.3390/rs9121333

A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data

1
Mundialis GmbH & Co. KG, 53111 Bonn, Germany
2
Department of Earth Observation Sciences, ITC-Faculty of Geo-Information Science and Earth Observation, University of Twente, 7522 Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Received: 30 September 2017 / Revised: 13 December 2017 / Accepted: 14 December 2017 / Published: 20 December 2017
(This article belongs to the Section Remote Sensing Image Processing)
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Abstract

Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely sensed data in the thermal range, LST shows gaps in cloud-covered areas. We present a novel method to fully reconstruct MODIS daily LST products for central Europe at 1 km resolution and globally, at 3 arc-min. We combined temporal and spatial interpolation, using emissivity and elevation as covariates for the spatial interpolation. The reconstructed MODIS LST for central Europe was calibrated to air temperature data through linear models that yielded R2 values around 0.8 and RMSE of 0.5 K. This new method proves to scale well for both local and global reconstruction. We show examples for the identification of extreme events to demonstrate the ability of these new LST products to capture and represent spatial and temporal details. A time series of global monthly average, minimum and maximum LST data and long-term averages is freely available for download. View Full-Text
Keywords: land surface temperature; environmental monitoring; urban heat waves; MODIS; reconstruction; time series; online dataset land surface temperature; environmental monitoring; urban heat waves; MODIS; reconstruction; time series; online dataset
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

  • Externally hosted supplementary file 1
    Doi: 10.5281/zenodo.1115666
    Link: https://zenodo.org/record/1115666
    Description: Reconstructed global monthly MODIS Land Surface Temperature data (2003-2016)
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Metz, M.; Andreo, V.; Neteler, M. A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data. Remote Sens. 2017, 9, 1333.

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