Results 41 to 50 of about 14,591 (204)

Forest total and component biomass retrieval via GA-SVR algorithm and quad-polarimetric SAR data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
A reliable evaluation of biomass is a vital prerequisite for realizing the international goal of “emission peak and carbon neutrality”. It is critical to estimate the components of forest biomass, for ecosystem management.
Jianmin Shi   +7 more
doaj   +1 more source

Modifying the Yamaguchi Four-Component Decomposition Scattering Powers Using a Stochastic Distance

open access: yes, 2015
Model-based decompositions have gained considerable attention after the initial work of Freeman and Durden. This decomposition which assumes the target to be reflection symmetric was later relaxed in the Yamaguchi et al.
Bhattacharya, Avik   +4 more
core   +1 more source

A framework of rapid regional tsunami damage recognition from post-event TerraSAR-X imagery using deep neural networks [PDF]

open access: yes, 2018
Near real-time building damage mapping is an indispensable prerequisite for governments to make decisions for disaster relief. With high-resolution synthetic aperture radar (SAR) systems, such as TerraSAR-X, the provision of such products in a fast and ...
Adriano, Bruno   +6 more
core   +1 more source

The “Analogs for VENus' GEologically Recent Surfaces” (AVENGERS) Initiative: Using Terrestrial Analogs to Study Recent Volcano‐Tectonic Activity on Venus and Inform the Characterization of Terrestrial Exoplanets

open access: yesJournal of Geophysical Research: Planets, Volume 130, Issue 9, September 2025.
Abstract Several missions to Venus have recently been selected for launch, opening a new era for the exploration of the planet. A key question these missions seek to address is whether Venus is geologically active today. Detecting active volcanism on Venus would contribute to a better understanding of volcanic and atmospheric processes on Earth.
P. D’Incecco   +55 more
wiley   +1 more source

Oil Spill Detection in Quad-Polarimetric SAR Images Using an Advanced Convolutional Neural Network Based on SuperPixel Model

open access: yesRemote Sensing, 2020
Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features have the advantages to recognize
Jin Zhang   +5 more
doaj   +1 more source

Extrapolation of Airborne Polarimetric and Interferometric SAR Data for Validation of Bio-Geo-Retrieval Algorithms for Future Spaceborne SAR Missions [PDF]

open access: yes, 2009
Spaceborne SAR system concepts and mission design is often based on algorithms developed and the experience gathered from airborne SAR experiments and associated dedicated campaigns. However, airborne SAR systems have better performance parameters than
Floury, Nicolas   +3 more
core  

Crop classification by polarimetric SAR [PDF]

open access: yesIEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003
Polarimetric SAR-data of agricultural fields have been acquired by the Danish polarimetric L- and C-band SAR (EMISAR) during a number of missions at the Danish agricultural test site Foulum during 1995. The data are used to study the classification potential of polarimetric SAR data using the Wishart distributed covariance matrix.
H. Skriver   +3 more
openaire   +1 more source

One‐Hundred Fundamental, Open Questions to Integrate Methodological Approaches in Lake Ice Research

open access: yesWater Resources Research, Volume 61, Issue 5, May 2025.
Abstract The rate of technological innovation within aquatic sciences outpaces the collective ability of individual scientists within the field to make appropriate use of those technologies. The process of in situ lake sampling remains the primary choice to comprehensively understand an aquatic ecosystem at local scales; however, the impact of climate ...
Joshua Culpepper   +25 more
wiley   +1 more source

Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data

open access: yesRemote Sensing, 2017
Sea ice monitoring and classification is one of the main applications of Synthetic Aperture Radar (SAR) remote sensing. C-band SAR imagery is regarded as an optimal choice for sea ice applications; however, other SAR frequencies has not been extensively ...
Mohammed Dabboor   +3 more
doaj   +1 more source

DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Relatively total variation (RTV) algorithm, which can effectively decompose structure information and texture in image, is employed in extracting main structures of the image.
C. Jiang   +6 more
doaj   +1 more source

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