期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：1413-1418
出版社：Copernicus Publications
摘要：The use of lidar and radar instruments to measure forest structure attributes such as height and biomass are being considered for future Earth Observation satellite missions. Large footprint lidar makes a direct measurement of the heights of scatterers in the illuminated footprint and can yield information about the vertical profile of the canopy. Synthetic Aperture Radar (SAR) is known to sense the canopy volume, especially at longer wavelengths and is useful for estimating biomass. Interferometric SAR (InSAR) has been shown to yield some forest canopy height information. There is much interest in exploiting these technologies separately and together to get important information for carbon cycle and ecosystem science. Our three-dimensional (3D) incoherent radar backscattering model was modified to simulate coherent returns. The modified model was tested using the forest stem map and PALSAR InSAR data in Howland, Maine. Lidar and radar sense different parts of the forest canopy (lidar to the green leaves, and radar to the wet structures of a canopy). Because of the ecological and biophysical nature of the forest canopies, the amount and spatial position of various components of a forest canopy are closely correlated. The lidar and radar responses to the same canopy should be correlated in some degrees. This correlation and its limits were analyzed in this study. Results will address the possible synergies between lidar and radar data in terms of forest structural information
