Decorrelation rate and daily cycle in sub-daily time series of SAR coherence amplitude DOI Creative Commons
Arturo Villarroya-Carpio, Juan M. López‐Sánchez, Albert Aguasca

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 313, P. 114358 - 114358

Published: Aug. 20, 2024

A dataset of sub-daily C-band data, acquired with a ground-based synthetic aperture radar, has been used to study soil and vegetation dynamics during complete growing season in controlled agricultural test site. The data have exploited analyse the rate sources decorrelation scene, as well consequences observation conditions satellite (with either low, medium or geosynchronous orbit): short revisit times, availability multiple acquisitions single day, shallow observations at some incidence angles. Repeat-pass coherence is found be less affected by temporal when primary image nighttime last hours predawn. Regarding angle, VV increased sensitivity certain phenological stages angle increases. Additionally, periodic oscillation on scale observed creating time series increasing baseline. Factors which strongly contribute these oscillations are daily cycles temperature, moisture water dynamics.

Language: Английский

Root zone soil moisture mapping at very high spatial resolution using radar-derived surface soil moisture product DOI Creative Commons
Nadia Ouaadi, Abdelghani Chehbouni, Emna Ayari

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 314, P. 109507 - 109507

Published: April 29, 2025

Language: Английский

Citations

0
Sources of Temporal Decorrelation in an Agricultural Scene and Their Effect on Sub-Daily Sar Coherence Time Series DOI
Arturo Villarroya-Carpio, Juan M. López‐Sánchez, Albert Aguasca

et al.

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Journal Year: 2024, Volume and Issue: unknown, P. 1465 - 1469

Published: July 7, 2024

Language: Английский

Citations

0
Decorrelation rate and daily cycle in sub-daily time series of SAR coherence amplitude DOI Creative Commons
Arturo Villarroya-Carpio, Juan M. López‐Sánchez, Albert Aguasca

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 313, P. 114358 - 114358

Published: Aug. 20, 2024

A dataset of sub-daily C-band data, acquired with a ground-based synthetic aperture radar, has been used to study soil and vegetation dynamics during complete growing season in controlled agricultural test site. The data have exploited analyse the rate sources decorrelation scene, as well consequences observation conditions satellite (with either low, medium or geosynchronous orbit): short revisit times, availability multiple acquisitions single day, shallow observations at some incidence angles. Repeat-pass coherence is found be less affected by temporal when primary image nighttime last hours predawn. Regarding angle, VV increased sensitivity certain phenological stages angle increases. Additionally, periodic oscillation on scale observed creating time series increasing baseline. Factors which strongly contribute these oscillations are daily cycles temperature, moisture water dynamics.

Language: Английский

Citations

0