Results 31 to 40 of about 64 (45)
Assessment of underlying topography and forest height inversion based on TomoSAR methods
Due to the strong penetrability, long-wavelength synthetic aperture radar (SAR) can provide an opportunity to reconstruct the three-dimensional structure of the penetrable media. SAR tomography (TomoSAR) technology can resynthesize aperture perpendicular
Chuanjun Wu +5 more
doaj +1 more source
For tropical forests characterized by tall and densely packed trees, even long-wavelength SAR signals may fail to achieve full penetration, posing a significant challenge for retrieving sub-canopy terrain using polarimetric interferometric SAR (InSAR ...
Chuanjun Wu +5 more
doaj +1 more source
Addressing Tropical Forest Structure Changes with SAR Tomography: The AfriSAR 2016 - GabonX 2023 Case [PDF]
The ability of SAR Tomography (TomoSAR) in mapping forest structure changes in time by separating, quantifying and characterizing individual structural / dielectric change contributions has not been systematically characterized yet. In this work, such potentials are investigated in tropical forests sites in Gabon.
Pardini, Matteo +4 more
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Afrisar-Tropisar: Forest Biomass Retrieval by P-Band Sar Tomography
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018The objective of this paper is to provide a better understanding of tomographic capabilities to estimate above ground biomass (AGB) in dense forested areas at P-band. The analysis is carried out on airborne data acquired over sites in French Guyana and in Gabon during the ESA campaigns TropiSAR and AfriSAR 2015, respectively.
D Ho Tong Minh +2 more
exaly +5 more sources
Tomographic imaging with UAVSAR: Current status and new results from the 2016 AfriSAR campaign
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017We present our progress results of SAR tomographic imaging using L-band NASA/JPL UAVSAR data collected in Gabon during the 2016 AfriSAR campaign. Several tomographic experiments were conducted in February 2016 over four different sites with a broad diversity of vegetation types, soil characteristics and weather conditions. Here we describe the campaign
Marco Lavalle
exaly +2 more sources
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
AfriSAR is an ESA-funded airborne P- and L-band SAR campaign over the African tropical forests of Gabon carried out by ONERA (July 2015) and DLR (February 2016). The different acquisitions were designed in order to collect multibaseline fully polarimetric data allowing the inversion of key forest vertical structure-based parameters, like e.g.
Irena Hajnsek +2 more
exaly +2 more sources
AfriSAR is an ESA-funded airborne P- and L-band SAR campaign over the African tropical forests of Gabon carried out by ONERA (July 2015) and DLR (February 2016). The different acquisitions were designed in order to collect multibaseline fully polarimetric data allowing the inversion of key forest vertical structure-based parameters, like e.g.
Irena Hajnsek +2 more
exaly +2 more sources
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
AfriSAR is an ESA-funded airborne P-band SAR campaign over the African tropical forests of Gabon that is being carried out by ONERA (July 2015) and DLR (February 2016) in support of the development of the geophysical algorithms of the future BIOMASS mission.
Irena Hajnsek +2 more
exaly +2 more sources
AfriSAR is an ESA-funded airborne P-band SAR campaign over the African tropical forests of Gabon that is being carried out by ONERA (July 2015) and DLR (February 2016) in support of the development of the geophysical algorithms of the future BIOMASS mission.
Irena Hajnsek +2 more
exaly +2 more sources
The AfriSAR Campaign: Tomographic Analysis With Phase-Screen Correction for P-Band Acquisitions
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018Valentine Wasik +1 more
exaly
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
Alfonso Alonso, , Sassan Saatchi
exaly
Alfonso Alonso, , Sassan Saatchi
exaly

