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Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms
IEEE Transactions on Geoscience and Remote Sensing, 2020This article demonstrates how 3-D vegetation structure can be approximated by interferometric synthetic aperture radar (InSAR) backscatter-height histograms. Single-look backscatter measurements are plotted against the InSAR phase height and are aggregated spatially over a forest patch to form a 3-D histogram, referred to as InSAR backscatter-height ...
Gustavo H. X. Shiroma, Marco Lavalle
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Height and Biomass Inversion of Winter Wheat Based on Canopy Height Model
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018The aboveground biomass of crops is an important index reflecting the growth status of crops. It is an important reference for achieving precise water and fertilizer management, yield monitoring and prediction. In this paper, the true height of the vegetation relative to the ground is obtained from the data preprocessing, the point cloud filtering and ...
Haikuan Feng +7 more
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A multiscale morphological algorithm for improvements to canopy height models
Computers & Geosciences, 2019Abstract Pixels with distinctively lower elevation values than the surrounding pixels in a canopy height model (CHM) e.g. pixels representing a pit, often lead to the underestimation of tree heights. To rectify the underestimation, this paper presents a novel multiscale CHM improvement algorithm.
Li Liu 0042 +3 more
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Modelling thermal eddy diffusivity at canopy height
Boundary-Layer Meteorology, 1977A one-dimensional, steady-state plant-atmosphere model using different formulae for the thermal stability function is applied to data for corn crops. There are two general types of formulae available. Those proposed by W. C. Swinbank, A. J. Dyer and B. B. Hicks, and E. K.
L. A. Mehlenbacher, D. W. A. Whitfield
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Development of a pit filling algorithm for LiDAR canopy height models
Computers & Geosciences, 2009LiDAR canopy height models (CHMs) can exhibit unnatural looking holes or pits, i.e., pixels with a much lower digital number than their immediate neighbors. These artifacts may be caused by a combination of factors, from data acquisition to post-processing, that not only result in a noisy appearance to the CHM but may also limit semi-automated tree ...
Joshua R. Ben-Arie +4 more
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A backscattering data simulation model for forest canopy based on canopy height information
2018 IEEE Radar Conference (RadarConf18), 2018The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed.
Qiang Gao +3 more
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Modeling forest canopy heights: The effects of canopy shape
Remote Sensing of Environment, 1997Abstract Three-dimensional models that represent the top-of-canopy forest height structure were developed to simulate airborne laser profiling responses along forested transects. The simulator which produced these 3-D models constructed individual tree crowns according to a tree's total height, height to first branch, crown diameter, and crown shape (
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Study of morphological crown control in LiDAR-derived canopy height model
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012Canopy height model (CHM) is an important model of LiDAR application in forestry. The quality of CHM directly or indirectly influences the subsequent forest parameters extraction and estimation. However, some abnormal changes of elevation exist in CHM regularly.
Dan Zhao +3 more
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A forest canopy height surface model for scene simulation
SIMULATION, 1987A model of forest canopy heights can support realistic remote sensing scene simulation. The final pixel (x, y) array of canopy heights results from merging structural and statistical sub-models. The structural model considers tree crowns to be structural primitives and permits explicit specification of forest structural characteristics (crown forms and
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A Robust Algorithm for Constructing Pit-Free Canopy Height Model
Journal of the Indian Society of Remote Sensing, 2017Due to the penetration ability of airborne light detection and ranging (lidar) into tree crowns, data pits commonly appear in lidar-derived canopy height models (CHMs). They have a seriously negative effect on the quality of tree detection and subsequent biophysical measurements.
Chuanfa Chen +3 more
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