An L-band interferometric synthetic aperture radar study on the Ganos section of the north Anatolian fault zone between 2007 and 2011: Evidence for along strike segmentation and creep in a shallow fault patch

Land subsidence in Cangzhou of the North China Plain, has been an ongoing problem for the past four decades (since the later 1970s). With the development of new synthetic aperture radar(SAR)sensors and interferometric synthetic aperture radar(InSAR) techniques, the application of satellite Radar data have enhanced capabilities to detect and monitor ground displacements with centimeter to millimeter precision at greater spatial detail and higher temporal resolution. We use Permanent Scatterers interferometric synthetic aperture radar（PS-InSAR）technology (Hooper, A.2004) to detect and measure ground movement in this area（from2004 to 2007）. Results of the cangzhou region study are reported and the utility of the InSAR methodology is discussed.

Download Full-text

Monitoring snowpack evolution using interferometric synthetic aperture radar on the North Slope of Alaska, USA

International Journal of Remote Sensing ◽

10.1080/01431161003801351 ◽

2011 ◽

Vol 32 (14) ◽

pp. 3985-4003 ◽

Cited By ~ 19

Author(s):

Elias J. Deeb ◽

Richard R. Forster ◽

Douglas L. Kane

Keyword(s):

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

North Slope ◽

Interferometric Synthetic Aperture Radar ◽

The North ◽

North Slope Of Alaska ◽

Aperture Radar

Download Full-text

Forest Canopy Height Estimation Using Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) Technology Based on Full-Polarized ALOS/PALSAR Data

Remote Sensing ◽

10.3390/rs13020174 ◽

2021 ◽

Vol 13 (2) ◽

pp. 174

Author(s):

Wei Chen ◽

Qihui Zheng ◽

Haibing Xiang ◽

Xu Chen ◽

Tetsuro Sakai

Keyword(s):

Synthetic Aperture Radar ◽

Forest Canopy ◽

Forest Growth ◽

Canopy Height ◽

Synthetic Aperture ◽

Interferometric Synthetic Aperture Radar ◽

Alos Palsar ◽

Height Estimation ◽

L Band ◽

Aperture Radar

Forest canopy height is a basic metric characterizing forest growth and carbon sink capacity. Based on full-polarized Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar (ALOS/PALSAR) data, this study used Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) technology to estimate forest canopy height. In total the four methods of differential DEM (digital elevation model) algorithm, coherent amplitude algorithm, coherent phase-amplitude algorithm and three-stage random volume over ground algorithm (RVoG_3) were proposed to obtain canopy height and their accuracy was compared in consideration of the impacts of coherence coefficient and range slope levels. The influence of the statistical window size on the coherence coefficient was analyzed to improve the estimation accuracy. On the basis of traditional algorithms, time decoherence was performed on ALOS/PALSAR data by introducing the change rate of Landsat NDVI (Normalized Difference Vegetation Index). The slope in range direction was calculated based on SRTM (Shuttle Radar Topography Mission) DEM data and then introduced into the s-RVoG (sloped-Random Volume over Ground) model to optimize the canopy height estimation model and improve the accuracy. The results indicated that the differential DEM algorithm underestimated the canopy height significantly, while the coherent amplitude algorithm overestimated the canopy height. After removing the systematic coherence, the overestimation of the RVoG_3 model was restrained, and the absolute error decreased from 23.68 m to 4.86 m. With further time decoherence, the determination coefficient increased to 0.2439. With the introduction of range slope, the s-RVoG model shows improvement compared to the RVoG model. Our results will provide a reference for the appropriate algorithm selection and optimization for forest canopy height estimation using full-polarized L-band synthetic aperture radar (SAR) data for forest ecosystem monitoring and management.

Download Full-text