2016
DOI: 10.1117/12.2228068
|View full text |Cite
|
Sign up to set email alerts
|

PolInSAR tomography for vertical profile retrieval of forest vegetation using spaceborne SAR data

Abstract: Forest height plays a crucial role to investigate the bio-physical parameters of forest and the terrestrial carbon. PolInSAR based inversion modeling has been successfully implemented on airborne and spaceborne SAR data. SAR tomography, which is an extension of cross-track interferometric processing is a recent approach to separate scatterers in cross range direction, thus generates its vertical profile. This study highlighted the potential of tomographic processing of fully polarimetric Radarsat-2 SAR system … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 24 publications
0
1
0
Order By: Relevance
“…Apart from SAR tomography, three‐stage PolInSAR inversion is also a method for estimating the parameter like forest height profile estimation (Babu & Kumar, 2018; Joshi et al, 2016) of a forest. SAR tomography is an extension of 2‐D SAR imaging (range and azimuth plane) to 3‐D by forming an additional aperture (synthetic) in the direction of elevation utilizing the stack of multibaseline InSAR data sets resulting in a profile of height of target as a third dimension in the data (Reigber & Moreira, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…Apart from SAR tomography, three‐stage PolInSAR inversion is also a method for estimating the parameter like forest height profile estimation (Babu & Kumar, 2018; Joshi et al, 2016) of a forest. SAR tomography is an extension of 2‐D SAR imaging (range and azimuth plane) to 3‐D by forming an additional aperture (synthetic) in the direction of elevation utilizing the stack of multibaseline InSAR data sets resulting in a profile of height of target as a third dimension in the data (Reigber & Moreira, 2000).…”
Section: Introductionmentioning
confidence: 99%