Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes?
We studied the influence of the statistical properties of soil moisture changes on the Interferometric Synthetic Aperture Radar (InSAR) coherence and closure phase to determine whether the InSAR coherence and closure phase can be used to estimate soil moisture changes. We generated semi-synthetic mu...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/12/9/1511 |
| _version_ | 1827717150421286912 |
|---|---|
| author | Yusuf Eshqi Molan Zhong Lu |
| author_facet | Yusuf Eshqi Molan Zhong Lu |
| author_sort | Yusuf Eshqi Molan |
| collection | DOAJ |
| description | We studied the influence of the statistical properties of soil moisture changes on the Interferometric Synthetic Aperture Radar (InSAR) coherence and closure phase to determine whether the InSAR coherence and closure phase can be used to estimate soil moisture changes. We generated semi-synthetic multi-looked interferograms by pairing <i>n</i> real single-looked pixels of an observed SAR image with <i>n</i> synthetic single-looked pixels. The synthetic SAR data are generated from the real SAR data by applying soil moisture changes with a pre-defined mean and standard deviation of changes. Our results show that the diversity of soil moisture changes within the multi-look window gives rise to decorrelation, a multi-looked phase artifact, and a non-zero phase triplet. The decorrelation and closure phase increase by enlarging the diversity of soil moisture changes. We also showed that non-soil moisture changes can lead to larger decorrelations and closure phases. Furthermore, the diversity of phase changes, decorrelation, and closure phases are correlated with land cover type. We concluded that the closure phase and coherence are independent of the magnitude of soil moisture changes and are inappropriate tools to estimate soil moisture changes. Coherence, however, can be used as a proxy for soil moisture changes if the diversity and magnitude of soil moisture changes within a multi-looked pixel are strongly correlated. |
| first_indexed | 2024-03-10T19:56:33Z |
| format | Article |
| id | doaj.art-8b147222a5e24c0e855b584677512dc0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T19:56:33Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-8b147222a5e24c0e855b584677512dc02023-11-19T23:55:37ZengMDPI AGRemote Sensing2072-42922020-05-01129151110.3390/rs12091511Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes?Yusuf Eshqi Molan0Zhong Lu1Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275-0395, USARoy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275-0395, USAWe studied the influence of the statistical properties of soil moisture changes on the Interferometric Synthetic Aperture Radar (InSAR) coherence and closure phase to determine whether the InSAR coherence and closure phase can be used to estimate soil moisture changes. We generated semi-synthetic multi-looked interferograms by pairing <i>n</i> real single-looked pixels of an observed SAR image with <i>n</i> synthetic single-looked pixels. The synthetic SAR data are generated from the real SAR data by applying soil moisture changes with a pre-defined mean and standard deviation of changes. Our results show that the diversity of soil moisture changes within the multi-look window gives rise to decorrelation, a multi-looked phase artifact, and a non-zero phase triplet. The decorrelation and closure phase increase by enlarging the diversity of soil moisture changes. We also showed that non-soil moisture changes can lead to larger decorrelations and closure phases. Furthermore, the diversity of phase changes, decorrelation, and closure phases are correlated with land cover type. We concluded that the closure phase and coherence are independent of the magnitude of soil moisture changes and are inappropriate tools to estimate soil moisture changes. Coherence, however, can be used as a proxy for soil moisture changes if the diversity and magnitude of soil moisture changes within a multi-looked pixel are strongly correlated.https://www.mdpi.com/2072-4292/12/9/1511synthetic aperture radarsoil moistureclosure phasesoil moisture diversitycoherence |
| spellingShingle | Yusuf Eshqi Molan Zhong Lu Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes? Remote Sensing synthetic aperture radar soil moisture closure phase soil moisture diversity coherence |
| title | Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes? |
| title_full | Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes? |
| title_fullStr | Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes? |
| title_full_unstemmed | Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes? |
| title_short | Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes? |
| title_sort | can insar coherence and closure phase be used to estimate soil moisture changes |
| topic | synthetic aperture radar soil moisture closure phase soil moisture diversity coherence |
| url | https://www.mdpi.com/2072-4292/12/9/1511 |
| work_keys_str_mv | AT yusufeshqimolan caninsarcoherenceandclosurephasebeusedtoestimatesoilmoisturechanges AT zhonglu caninsarcoherenceandclosurephasebeusedtoestimatesoilmoisturechanges |