<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Information related to land use and land cover is an inevitable prerequisite for formulating any decision making for land information system. The easiest and most effective way to gather such information is via using Earth observation satellites supported by ground data. Synthetic Aperture Radar (SAR), due to its additional unique intrinsic characteristics is favoured over the optical systems for procuring land information. An innovative and effective technique for land feature detection is the use of polarimetric capabilities of SAR. Generally applicable for quad polarized data, this study investigates the polarimetric capabilities of a dual polarized data obtained from ALOS PALSAR, which is not a general notion. The approach applied in the study shows accurate results for detection of land features using polarimetric decomposition of dual polarized ALOS PALSAR data over an area of Munger in the state of Bihar, India. Twelve distinct land cover features are identified in the study area using this approach. The polarimetric products are also investigated for deriving the biomass information for the vegetation cover in the study area. The relation between in-situ biomass generated from floral species-specific volumetric equations and SAR polarimetric products showed a moderate correlation of 0.56 with RMSE=29.13 t/ha and data agreement of 0.62 based on exponential regression model for predicting biomass. The decomposition parameters revealed more evidences for forest structure and feature identification rather than biomass information. The method adopted in the study can be well utilized for land resource information and mapping; hence, natural and man-made resource monitoring and management.</p>
</abstract>

Information related to land use and land cover is an inevitable prerequisite for formulating any decision making for land information system. The easiest and most effective way to gather such information is via using Earth observation satellites supported by ground data. Synthetic Aperture Radar (SAR), due to its additional unique intrinsic characteristics is favoured over the optical systems for procuring land information. An innovative and effective technique for land feature detection is the use of polarimetric capabilities of SAR. Generally applicable for quad polarized data, this study investigates the polarimetric capabilities of a dual polarized data obtained from ALOS PALSAR, which is not a general notion. The approach applied in the study shows accurate results for detection of land features using polarimetric decomposition of dual polarized ALOS PALSAR data over an area of Munger in the state of Bihar, India. Twelve distinct land cover features are identified in the study area using this approach. The polarimetric products are also investigated for deriving the biomass information for the vegetation cover in the study area. The relation between in-situ biomass generated from floral species-specific volumetric equations and SAR polarimetric products showed a moderate correlation of 0.56 with RMSE=29.13 t/ha and data agreement of 0.62 based on exponential regression model for predicting biomass. The decomposition parameters revealed more evidences for forest structure and feature identification rather than biomass information. The method adopted in the study can be well utilized for land resource information and mapping; hence, natural and man-made resource monitoring and management.

A Review of Land Cover Information using H/A/Α Polarimetric Decomposition of Dual Pol Sar Data

Journal of Landscape Ecology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Information related to land use and land cover is an inevitable prerequisite for formulating any decision making for land information system. The easiest and...

A Review of Land Cover Information using H/A/Α Polarimetric Decomposition of Dual Pol Sar Data

Online veröffentlicht: 08. Dez. 2022

Seitenbereich: 19 - 35

Eingereicht: 30. Juli 2022

Akzeptiert: 17. Sept. 2022

DOI: https://doi.org/10.2478/jlecol-2022-0016

Schlüsselwörter
SAR, ALOS PALSAR, polarimetric decomposition, LULC, biomass

© 2022 Suman Sinha, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Review of Land Cover Information using H/A/Α Polarimetric Decomposition of Dual Pol Sar Data

Online veröffentlicht: 08. Dez. 2022

Seitenbereich: 19 - 35

Eingereicht: 30. Juli 2022

Akzeptiert: 17. Sept. 2022

DOI: https://doi.org/10.2478/jlecol-2022-0016

SchlüsselwörterSAR, ALOS PALSAR, polarimetric decomposition, LULC, biomass

© 2022 Suman Sinha, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
SAR, ALOS PALSAR, polarimetric decomposition, LULC, biomass