A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions DOI Creative Commons
Fahime Arabi Aliabad, Ebrahim Ghaderpour, Mohammad Zare

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 44858 - 44872

Published: Jan. 1, 2024

Thermal monitoring of different regions is usually limited to meteorological data in ground stations. Meteorological networks are arid and semi-arid areas, where climatic conditions not possible. The aim this study estimate the land surface temperature (LST) hourly for Yazd-Ardakan plain by modeling diurnal cycle (DTC) using LST imagery moderate resolution imaging spectroradiometer (MODIS). First, MODIS reconstructed multi-channel singular spectrum analysis, complete time series without missing values created. Then, six DTC models compared. accuracy examined measurements, air temperature, humidity, wind speed. In addition, results examining root mean square error (RMSE) images obtained from cross-validation based on show that DTC2 has highest error, 73% area RMSE greater than 3°C. DTC1 DTC2, 64% 5.8% region less 2°C. general, DTC1, DTC6, DTC5, DTC4, DTC3, have shown lowest cycle. difference between mountain lands at maximum other hours day night. findings research crucial studies concerning climate change environmental arid/semi-arid regions.

Language: Английский

Modeling soil heat flux from MODIS products for arid regions DOI Creative Commons
Fahime Arabi Aliabad, Ebrahim Ghaderpour

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103005 - 103005

Published: Jan. 1, 2025

Language: Английский

Citations

0
High-resolution maximum air temperature estimation over India from MODIS data using machine learning DOI

Amal Joy,

K. Satheesan,

Avinash Paul

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101463 - 101463

Published: Jan. 1, 2025

Language: Английский

Citations

0
Automated parameter selection in singular spectrum analysis for time series analysis DOI
James Yang,

Anne Buu

Communications in Statistics - Simulation and Computation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 28, 2025

Language: Английский

Citations

0
Urban growth dynamics and its influence on land surface temperature in Bhubaneswar metropolitan city: a 1990–2021 analysis DOI Creative Commons
Monashree Panigrahi, A. P. Sharma

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Feb. 1, 2025

Language: Английский

Citations

0
Comparing methods for forecasting time series with multiple observations per period using singular spectrum analysis DOI
Rahim Mahmoudvand

Environmental and Ecological Statistics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

Citations

0
A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions DOI Creative Commons
Fahime Arabi Aliabad, Ebrahim Ghaderpour, Mohammad Zare

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 44858 - 44872

Published: Jan. 1, 2024

Thermal monitoring of different regions is usually limited to meteorological data in ground stations. Meteorological networks are arid and semi-arid areas, where climatic conditions not possible. The aim this study estimate the land surface temperature (LST) hourly for Yazd-Ardakan plain by modeling diurnal cycle (DTC) using LST imagery moderate resolution imaging spectroradiometer (MODIS). First, MODIS reconstructed multi-channel singular spectrum analysis, complete time series without missing values created. Then, six DTC models compared. accuracy examined measurements, air temperature, humidity, wind speed. In addition, results examining root mean square error (RMSE) images obtained from cross-validation based on show that DTC2 has highest error, 73% area RMSE greater than 3°C. DTC1 DTC2, 64% 5.8% region less 2°C. general, DTC1, DTC6, DTC5, DTC4, DTC3, have shown lowest cycle. difference between mountain lands at maximum other hours day night. findings research crucial studies concerning climate change environmental arid/semi-arid regions.

Language: Английский

Citations

2