Combining multi-dimensional SAR parameters to improve RVOG model for coniferous forest height inversion using ALOS-2 data

R Sa, Y Nei, W Fan - Remote Sensing, 2023 - mdpi.com
This paper considers extinction coefficient changes with height caused by the
inhomogeneous distribution of scatterers in heterogeneous forests and uses the InSAR …

Estimation of aboveground biomass from PolSAR and PolInSAR using regression-based modelling techniques

R Mukhopadhyay, S Kumar, H Aghababaei… - Geocarto …, 2022 - Taylor & Francis
In the field of forestry studies, microwave remote sensing has broad applications due to the
penetration into the semi-transparent media. This feature is used for the estimation of …

PolInSAR decorrelation-based decomposition modelling of spaceborne multifrequency SAR data

BP ME, S Kumar - International Journal of Remote Sensing, 2021 - Taylor & Francis
The characterization of ground targets from a remotely sensed Synthetic Aperture Radar
(SAR) image is addressed by polarimetric decomposition. The polarimetric SAR (PolSAR) …

Bistatic PolInSAR inversion modelling for plant height retrieval in a tropical forest

S Kumar, RD Garg, SPS Kushwaha… - Proceedings of the …, 2017 - Springer
Polarimetric SAR interferometry (PolInSAR) based modeling approaches have been used
by several researchers for forest height estimation using airborne and space-borne sensors …

Forest height estimation based on the RVoG inversion model and the PolInSAR decomposition technique

A Aghabalaei, H Ebadi, Y Maghsoudi - International Journal of …, 2020 - Taylor & Francis
Monitoring the earth's biosphere is an essential task to understand the global dynamics of
ecosystems, biodiversity, and management aspects. Forests, as a natural resource, have an …

Spaceborne PolInSAR and ground-based TLS data modeling for characterization of forest structural and biophysical parameters

S Kumar, R Sara, J Singh, S Agrawal… - … Applications: Society and …, 2018 - Elsevier
Mapping of forest biophysical parameters is an effective tool for determination of forest
inventories, vegetation modeling, and the global carbon cycle. The present study aims at …

[HTML][HTML] PolInSAR coherence-based decomposition modeling for scattering characterization: A case study in Uttarakhand, India

MNS Ramya, S Kumar - Science of Remote Sensing, 2021 - Elsevier
Polarimetric decomposition models such as Freeman-Durden's three-component and
Yamaguchi's four-component models were used to extract the scattering mechanisms. In a …

Multifrequency Analysis of PolInSAR-based Decomposition Using Cosine-Squared Distribution

BP ME, S Kumar - IETE Technical Review, 2022 - Taylor & Francis
Scattering identification ambiguity has significant effects in the polarimetric SAR (Synthetic
Aperture Radar) decomposition and can be reduced by discriminating the permanent and …

Machine learning based urban land cover classification using PolInSAR data: a study with ALOS-2 and RADARSAT-2 datasets

L Attri, S Kumar, S Maithani - Discover Geoscience, 2024 - Springer
A substantial variation in the land cover dynamics has been observed as a consequence of
increasing urban expansion. Polarimetric synthetic aperture radar (PolSAR) data is widely …

Geospatial data for the himalayan region: requirements, availability, and challenges

S Agrawal, S Raghavendra, S Kumar… - Remote Sensing of …, 2019 - Springer
Availability of appropriate geospatial data over the Himalayan and adjacent Tibetan Plateau
region has emerged as one of the key data requirements to understand the fragile …