scholarly journals Characteristics of Decomposition Powers of L-Band Multi-Polarimetric SAR in Assessing Tree Growth of Industrial Plantation Forests in the Tropics

2012 ◽  
Vol 4 (10) ◽  
pp. 3058-3077 ◽  
Author(s):  
Shoko Kobayashi ◽  
Yoshiharu Omura ◽  
Kazadi Sanga-Ngoie ◽  
Ragil Widyorini ◽  
Shuichi Kawai ◽  
...  
Keyword(s):  
Tree Growth ◽  
Polarimetric Sar ◽  
Plantation Forests ◽  
Industrial Plantation ◽  
L Band ◽  
The Tropics

scholarly journals The Potential Scattering Model for Oil Palm Phenology Based on Spaceborne X-, C-, and L-Band Polarimetric SAR Imaging

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Soni Darmawan ◽  
Ita Carolita ◽  
Rika Hernawati ◽  
Dede Dirgahayu ◽  
Agustan ◽  
...  
Keyword(s):  
Nonlinear Model ◽  
Oil Palm ◽  
Potential Scattering ◽  
Radiometric Calibration ◽  
Polarimetric Radar ◽  
Polarimetric Sar ◽  
Alos Palsar ◽  
Scattering Model ◽  
Sar Imaging ◽  
L Band

Information about oil palm phenology is required for oil palm plantation management, but using spaceborne polarimetric radar imagery remains challenging. However, spaceborne polarimetric radar on X-, C-, and L-band is promising on structure vegetation and cloud area. This study investigates the scattering model of oil palm phenology based on spaceborne X-, C-, and L-band polarimetric Synthetic Aperture Radar (SAR) imaging. The X-, C-, and L-band polarimetric SAR are derived from spaceborne of TerraSAR-X, Sentinel-1A, and ALOS PALSAR 2. Study area is located in oil palm plantations, Asahan District, North Sumatra, Indonesia. The methodology includes data collection, preprocessing, radiometric calibration, speckle filtering, terrain correction, extraction of scattering value, and development of scattering model of oil palm phenology. The results showed different scattering characteristics for the X-, C-, and L-band polarimetric SAR of oil palm for age and found the potential of the scattering model for oil palm phenology based on the X-band on HH polarization that showed a nonlinear model with R 2 = 0.65 . The C-band on VH and VV polarization showed a nonlinear model with R 2 = 0.56 and R 2 = 0.89 . The L-band on HV and HH polarization showed a logarithmic model with R 2 = 0.50 and R 2 = 0.51 . In this case, the most potential of the scattering model of oil palm phenology based on R 2 is using C-band on VV polarization. However, the scattering model based on X-, C-, and L-band is potentially to be used and applied to identify the phenology of oil palm in Indonesia, which is the main parameter in yield estimation. For the future phenology model needs to improve accuracy by integrating multisensors, including different wavelengths on optical and microwave sensors and more in situ data.

Comparative Analysis of Forest Height Retrieval Methods by Polarimetric SAR Interferometry

2013 ◽  
Vol 726-731 ◽  
pp. 4686-4689
Author(s):  
Zhu Bo Zhou ◽  
Hong Zhang Ma ◽  
Xiao Bo Zhu ◽  
Lin Sun
Keyword(s):  
Comparative Analysis ◽  
Difference Method ◽  
Sar Interferometry ◽  
Combined Method ◽  
Polarimetric Sar ◽  
Forest Height ◽  
L Band ◽  
Polarimetric Sar Interferometry ◽  
Combined Methods

The objective of this paper is to compare and analyze the forest height retrieval methods from Polarimetric SAR Interferometry(POLINSAR).Both of the methods based on DEM difference and that on interferometry coherence amplitude are generalized, analyzed, and compared.Also in this paper combined methods of DEM difference and interferometry coherence amplitude are proposed and validated.The ESA fullpolarimetric interferometry L-band data are used for forest height analysis.The results show that the height is severely underestimated using DEM difference method,In constast,interferometry coherence amplitude method has a overest imation of height.The combined method of DEM difference and interferometry coherence amplitude has a much better estimate,closer to the true height than these two methods.

Extracting Cryospheric Information over Lowlands from L-Band Polarimetric SAR Data

2010 ◽  
pp. 79-95
Author(s):  
Nicolas Longépé ◽  
Masanobu Shimada ◽  
Sophie Allain ◽  
Eric Pottier
Keyword(s):  
Polarimetric Sar ◽  
L Band ◽  
Sar Data

Subsurface structures detection by combining L-band polarimetric SAR and GPR data: example of the Pyla Dune (France)

2001 ◽  
Vol 39 (6) ◽  
pp. 1245-1258 ◽  
Author(s):  
G. Grandjean ◽  
P. Paillou ◽  
P. Dubois-Fernandez ◽  
T. August-Bernex ◽  
N.N. Baghdadi ◽  
...  
Keyword(s):  
Polarimetric Sar ◽  
Subsurface Structures ◽  
L Band

Soil and Vegetation Scattering Contributions in L-Band and P-Band Polarimetric SAR Observations

2019 ◽  
Vol 57 (11) ◽  
pp. 8417-8429
Author(s):  
S. Hamed Alemohammad ◽  
Thomas Jagdhuber ◽  
Mahta Moghaddam ◽  
Dara Entekhabi
Keyword(s):  
Polarimetric Sar ◽  
L Band
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