IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium 2020
DOI: 10.1109/igarss39084.2020.9323309
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X-Band Polinsar Vegetation Canopy Height Inversion Strategy Based on Frequency Segmentation

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“…Forest canopy height, as an attribute of forest vertical structure, is an important parameter used to estimate stand stock, stand productivity and biomass 1 . Polarized Interferometric Synthetic Aperture Radar (PolInSAR) is a new remote sensing technique that has the properties of both polarized SAR sensitive to the direction and canopy of the vegetation scatters and PolInSAR sensitive to the height and distribution of the vegetation bodies, which can not only improve the accuracy of topographic measurements but also obtain the relevant physical parameters of scattering mechanisms, especially for tree height 2 . It is of great significance in forestry resource management and forestry investigation and research, especially the forest parameters provide the possibility of high precision inversion of tree height and various other parameters of ground features 3 .…”
Section: Introductionmentioning
confidence: 99%
“…Forest canopy height, as an attribute of forest vertical structure, is an important parameter used to estimate stand stock, stand productivity and biomass 1 . Polarized Interferometric Synthetic Aperture Radar (PolInSAR) is a new remote sensing technique that has the properties of both polarized SAR sensitive to the direction and canopy of the vegetation scatters and PolInSAR sensitive to the height and distribution of the vegetation bodies, which can not only improve the accuracy of topographic measurements but also obtain the relevant physical parameters of scattering mechanisms, especially for tree height 2 . It is of great significance in forestry resource management and forestry investigation and research, especially the forest parameters provide the possibility of high precision inversion of tree height and various other parameters of ground features 3 .…”
Section: Introductionmentioning
confidence: 99%