Study on Relation between Insar Coherence and Soil Moisture
نویسندگان
چکیده
Coherence is an important parameter to measure InSAR data quality in repeat-pass interferometry and soil moisture change can cause de-correlation. Relation between coherence and soil moisture was examined in this paper by using the ERS-1 interferometry pairs on Cangzhou area for which there are some heavy rain between the acquisition dates of the two images. The soil moisture is obtained based on the distributed hydrological model and the coherence is calculated by reducing the other de-correlation factors as much as possible. Correlation and regression analysis are carried out on the two images. It is found that the relation between the two may satisfy exponential distribution and is different with the area. Different soil types and land use appear different patterns.
منابع مشابه
Analysis of Permafrost Region Coherence Variation in the Qinghai-Tibet Plateau with a High-Resolution TerraSAR-X Image
The Qinghai–Tibet Plateau (QTP) is heavily affected by climate change and has been undergoing serious permafrost degradation due to global warming. Synthetic aperture radar interferometry (InSAR) has been a significant tool for mapping surface features or measuring physical parameters, such as soil moisture, active layer thickness, that can be used for permafrost modelling. This study analyzed ...
متن کاملEstimation of Earthquake Damage Through Radar Interferometry (Case study: Bam 2003 Earthquake)
The estimate of the damage caused by the earthquake and other natural disasters in the first days after the occurrence of these events can provide a quick damages assessment and help to manage the crisis. Several methods are available to investigate the extent of earthquake’s damage. Optical remote sensing, photogrammetric methods (UAVs and LIDARs), radar interferometry (InSAR) and field observ...
متن کاملEvaluation of Sentinel-1 Interferometric SAR Coherence efficiency for Land Cover Mapping
In this study, the capabilities of Interferometric Synthetic Aperture Radar (InSAR) time series data and machine learning have been evaluated for land cover mapping in Iran. In this way, a time series of Sentinel-1 SAR data (including 16 SLC images with approximately 24 days time interval) from 2018 to 2020 were used for a region of Ahvaz County located in Khuzestan province. Using InSAR proces...
متن کاملThe Use of C- and L-Band Repeat-Pass Interferometric SAR Coherence for Soil Moisture Change Detection in Vegetated Areas
Soil moisture estimation studies using Synthetic Aperture Radar (SAR) routinely utilise only the amplitude part of the received echo. In this study, repeat-pass Cand L-band interferometric SAR coherence from 2007 2009 was evaluated for the detection of surface soil moisture changes in the presence of vegetation using two different approaches. In the first analysis, the association between low c...
متن کاملSensitivity of Soil Respiration to Variability in Soil Moisture and Temperature in a Humid Tropical Forest
Precipitation and temperature are important drivers of soil respiration. The role of moisture and temperature are generally explored at seasonal or inter-annual timescales; however, significant variability also occurs on hourly to daily time-scales. We used small (1.54 m(2)), throughfall exclusion shelters to evaluate the role soil moisture and temperature as temporal controls on soil CO2 efflu...
متن کامل