Results 1 to 10 of about 62 (43)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 This paper investigates the benefits of integrating multibaseline polarimetric interferometric SAR (PolInSAR) data with LiDAR measurements using a machine-learning approach in order to obtain improved forest canopy height estimates.
Mariano Garcia +2 more
exaly +6 more sources
L-Band Uavsar Tomographic Imaging in Dense Forest: Afrisar Results [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 This paper presents tomographic analysis using L-band NASA/JPL UAVSAR from AfriSAR data conducted over the Gabon Lope Park on February 2016. Prior to tomographic imaging, a phase residual correction methodology based on Sum Kronecker Product have been implemented.
Chadi Abdallah +2 more
exaly +2 more sources
Potential of P-Band SAR Tomography in Forest Type Classification
Remote Sensing, 2021 Forest type classification using spaceborne remote sensing is a challenge. Low-frequency Synthetic Aperture Radar (SAR) signals (i.e., P-band, ∼0.69 m wavelength) are needed to penetrate a thick vegetation layer.
Dinh Ho Tong Minh +2 more
exaly +3 more sources
Science of Remote Sensing, 2021 A recent suite of new global-scale satellite sensors and regional-scale airborne campaigns are providing a wealth of remote sensing data capable of dramatically advancing our current understanding of the spatial distribution of forest structure and ...
Atticus Stovall +2 more
exaly +3 more sources
The 2016 NASA AfriSAR campaign: Airborne SAR and Lidar measurements of tropical forest structure and biomass in support of future satellite missions [PDF]
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 Background The AfriSAR campaign was a joint NASA and European Space Agency airborne campaign conducted in Gabon in support of the upcoming ESA BIOMASS, NASA-ISRO Synthetic Aperture Radar (NISAR) and NASA Global Ecosystem Dynamics Initiative (GEDI) missions.
Temilola Fatoyinbo +2 more
exaly +7 more sources
L- and P-Band 3-D SAR Reflectivity Profiles Versus Lidar Waveforms: The AfriSAR Case
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 The aim of this paper is to compare L- and P-band vertical backscattering profiles estimated by means of synthetic aperture radar (SAR) tomography and full light detection and ranging (lidar) waveforms in terms of their ability to distinguish different tropical forest structure types.
Irena Hajnsek +2 more
exaly +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Presents corrections to the above mentioned paper.
Maryam Pourshamsi +3 more
doaj +3 more sources
Monitoring Tropical Forest Structure Using SAR Tomography at L- and P-Band
Remote Sensing, 2019 Our study aims to provide a comparison of the P- and L-band TomoSAR profiles, Land Vegetation and Ice Sensor (LVIS), and discrete return LiDAR to assess the ability for TomoSAR to monitor and estimate the tropical forest structure parameters for enhanced
Chadi Abdallah +2 more
exaly +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 This paper presents a multibaseline method to increase the accuracy of height estimation when using SAR tomographic data. It is based upon mitigating the temporal decorrelation induced by wind. The Fourier–Legendre function of different orders was fitted to each pixel as the structure function in the PCT model.
Nafiseh Ghasemi +2 more
exaly +3 more sources
L-Band UAVSAR Tomographic Imaging in Dense Forests: Gabon Forests
Remote Sensing, 2019 Developing and enhancing strategies to characterize actual forests structure is a timely challenge, particularly for tropical forests. P-band synthetic aperture radar (SAR) tomography (TomoSAR) has previously been demonstrated as a powerful tool for ...
Chadi Abdallah +2 more
exaly +3 more sources