Investigating the capability of the Harmonic Analysis of Time Series (HANTS) algorithm in reconstructing time series images of daytime and nighttime land surface temperature from the MODIS sensor

• Published in: Spatial information research (Online) Vol. 32; no. 4; pp. 425 - 439
• Main Authors: Aliabad, Fahime Arabi, Shojaei, Saeed, Zare, Mohammad, Malamiri, Hamidreza Ghafarian
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.08.2024; 대한공간정보학회
• Subjects: Database Management; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Remote Sensing/Photogrammetry; 공학일반; Gap filling; Harmonic analysis; Thermal remote sensing; Time series reconstruction

A continuous, high-resolution surface temperature time series is necessary for hydrology, meteorology, and ecology. However, challenges such as cloud cover, aerosols, and algorithmic disturbances in satellite-based temperature images, particularly from MODIS, result in irregular observations, data l...