Structural classification of forest by means of L-band tomographic SAR
M Tello, V Cazcarra-Bes, M Pardini… - … and Remote Sensing …, 2015 - ieeexplore.ieee.org
2015 IEEE International Geoscience and Remote Sensing Symposium …, 2015•ieeexplore.ieee.org
Synthetic Aperture Radar Tomography provides the 3D reflectivity of the observed scene.
Hence, in a forest scenario, it reflects information relevant to forest structure. However, how
and to which extent this information is reflected and which are possible ways to quantify it
are still open questions. This paper explores the link between ecological measures of forest
structure and the 3D spatial distribution of the peaks in the reflectivity profiles at L-band and,
with this, proposes measures for forest structure estimation from tomographic SAR data.
Hence, in a forest scenario, it reflects information relevant to forest structure. However, how
and to which extent this information is reflected and which are possible ways to quantify it
are still open questions. This paper explores the link between ecological measures of forest
structure and the 3D spatial distribution of the peaks in the reflectivity profiles at L-band and,
with this, proposes measures for forest structure estimation from tomographic SAR data.
Synthetic Aperture Radar Tomography provides the 3D reflectivity of the observed scene. Hence, in a forest scenario, it reflects information relevant to forest structure. However, how and to which extent this information is reflected and which are possible ways to quantify it are still open questions. This paper explores the link between ecological measures of forest structure and the 3D spatial distribution of the peaks in the reflectivity profiles at L-band and, with this, proposes measures for forest structure estimation from tomographic SAR data.
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