Improving temporal frequency of Landsat surface temperature products using the gap-filling algorithm

Author:

Xian GeorgeORCID,Shi HuaORCID,Arab SaeedORCID,Mueller ChaseORCID,Hussain RezaORCID,Sayler KristiORCID,Howard DannyORCID

Publisher

US Geological Survey

Reference23 articles.

1. Buchhorn, M., Lesiv, M., Tsendbazar, N.-E., Herold, M., Bertels, L., and Smets, B., 2020, Copernicus Global Land Cover layers—Collection 2: Remote Sensing, v. 12, no. 6, art. 1044, 14 p. [Also available at https://doi.org/10.3390/rs12061044.]

2. Chen, Y., Cao, R., Chen, J., Liu, L., and Matsushita, B., 2021, A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter: ISPRS Journal of Photogrammetry and Remote Sensing, v. 180, p. 174–190. [Also available at https://doi.org/10.1016/j.isprsjprs.2021.08.015.]

3. Cook, M., Schott, J., Mandel, J., and Raqueno, N., 2014, Development of an operational calibration methodology for the Landsat thermal data archive and initial testing of the atmospheric compensation component of a land surface temperature (LST) product from the archive: Remote Sensing (Basel), v. 6, no. 11, p. 11244–11266. [Also available at https://doi.org/10.3390/rs61111244.]

4. Deilami, K., Kamruzzaman, M., and Liu, Y., 2018, Urban heat island effect—A systematic review of spatio-temporal factors, data, methods, and mitigation measures: International Journal of Applied Earth Observation and Geoinformation, v. 67, p. 30–42. [Also available at https://doi.org/10.1016/j.jag.2017.12.009.]

5. Gao, F., Hilker, T., Zhu, X., Anderson, M., Masek, J., Wang, P., and Yang, Y., 2015, Fusing Landsat and MODIS data for vegetation monitoring: IEEE Geoscience and Remote Sensing Magazine, v. 3, no. 3, p. 47–60. [Also available at https://doi.org/10.1109/MGRS.2015.2434351.]

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