Abstract
Abstract. Wetlands are highly productive and support a wide variety of ecosystem goods and services. Monitoring wetland is essential and potential. Because of the repeat-pass nature of satellite orbit and airborne, time-series of remote sensing data can be obtained to monitor wetland. UAVSAR is a NASA L-band synthetic aperture radar (SAR) sensor compact pod-mounted polarimetric instrument for interferometric repeat-track observations. Moreover, UAVSAR images can accurately map crustal deformations associated with natural hazards, such as volcanoes and earthquakes. And its polarization agility facilitates terrain and land-use classification and change detection. In this paper, the multi-temporal UAVSAR data are applied for monitoring the wetland change. Using the multi-temporal polarimetric SAR (PolSAR) data, the change detection maps are obtained by unsupervised and supervised method. And the coherence is extracted from the interfometric SAR (InSAR) data to verify the accuracy of change detection map. The experimental results show that the multi-temporal UAVSAR data is fit for wetland monitor.
Highlights
Wetlands which cover more than 4% of the Earth’s land surface are highly productive and a vital ecological component in resource management of ecosystems (Lu et al 2005)
The coherence map is extracted from the interfometric SAR (InSAR) data. These experimental results are used to verify the accuracy of change detection
2.1 Change Detection Method Based on polarimetric SAR (PolSAR) 2.1.1 Test Statistic and K&I Method
Summary
Wetlands which cover more than 4% of the Earth’s land surface are highly productive and a vital ecological component in resource management of ecosystems (Lu et al 2005). Because of the potential to provide phase and amplitude information in different polarizations, multi-temporal PolSAR data is used to monitor the wetland change in this paper. Change detection method of multi-temporal PolSAR images consist of two categories (Zhao et al 2017): unsupervised and supervised. High coherence occurs in double-bounce scattering and unchanged region Because of these important properties, coherence map is applied to verify and supplement the change detection maps by PolSAR in the wetland areas. The multi-temporal PolSAR and InSAR data from UAVSAR are used to detect the Louisianan wetland change. The coherence map is extracted from the InSAR data These experimental results are used to verify the accuracy of change detection. METHOD 2.1 Change Detection Method Based on PolSAR 2.1.1 Test Statistic and K&I Method
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
