![]() ![]() Poster Presentation at 2018 SCEC Annual Meeting. ![]() Soil moisture effects on InSAR time series in arid regions. We quantify the effects on line-of-sight displacement time histories and the potential to correct these effects. We also present initial results of our analysis in the Imperial Valley, California. We apply our approach to data from ESA's Sentinel-1a/b platform covering desert regions in Chile and Saudi Arabia, where infrequent rain events allow clear separation of time periods with and without a soil moisture perturbation. Adjust the potentiometer and see the point at which it starts to light. Capacitive soil moisture sensor calibration with Arduino and Python - GitHub - makerportal/soil-moisture-cal: Capacitive soil moisture sensor calibration. We demonstrate that amplitude variations alone do not correlate well with precipitation except for in a subset of surface types, and that phase coherence time series can be a much better proxy for soil moisture variations and the associated effects on phase. Insert the probes into the soil that has the desired moisture when to light up the LED and signal that the plant needs water. ![]() We examine the effects of soil moisture variations on InSAR time series analysis in arid and hyperarid regions, including the impact on phase and amplitude. Published August 13, 2018, SCEC Contribution #8419, 2018 SCEC Annual Meeting Poster #141 Soil moisture effects on InSAR time series in arid regions Rowena B. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |