check
Worldwide continuous gap-filled MODIS land surface temperature dataset | Soil and Water Sciences

Publications by Year

<embed>
Copy and paste this code to your website.

Publications by Authors

Recent Publications

Contact Us

The Robert  H Smith Faculty
of Food, Agriculture and Environment
Herzl 229  Rehovot 7610001
ISRAEL

tel: 972-8-9489223
fax: 972-8-9475181
morze@savion.huji.ac.il

Worldwide continuous gap-filled MODIS land surface temperature dataset

Citation:

Shiff, S. ; Helman, D. ; Lensky, I. M. . Worldwide Continuous Gap-Filled Modis Land Surface Temperature Dataset. SCIENTIFIC DATA 2021, 8.

Date Published:

MAR 4

Abstract:

Satellite land surface temperature (LST) is vital for climatological and environmental studies. However, LST datasets are not continuous in time and space mainly due to cloud cover. Here we combine LST with Climate Forecast System Version 2 (CFSv2) modeled temperatures to derive a continuous gap filled global LST dataset at a spatial resolution of 1 km. Temporal Fourier analysis is used to derive the seasonality (climatology) on a pixel-by-pixel basis, for LST and CFSv2 temperatures. Gaps are filled by adding the CFSv2 temperature anomaly to climatological LST. The accuracy is evaluated in nine regions across the globe using cloud-free LST (mean values: R-2 = 0.93, Root Mean Square Error (RMSE) = 2.7 degrees C, Mean Absolute Error (MAE) = 2.1 degrees C). The provided dataset contains day, night, and daily mean LST for the Eastern Mediterranean. We provide a Google Earth Engine code and a web app that generates gap filled LST in any part of the world, alongside a pixel-based evaluation of the data in terms of MAE, RMSE and Pearson's r.

Last updated on 12/14/2021