Department of Key Laboratory of Intelligent Infrared Perception, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
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Pixel-Based Methods for Remote Sensing Mapping of Forest Functional Characteristics and Diversity
Author(s): Zhouxia Chen*
Research on plant ecology and biodiversity has increasingly used trait-based methods and remote sensing. Remote sensing permits assessing
functional qualities over vast contiguous areas, in contrast to traditional field survey (which often samples individual trees), but assigns trait values
to biological units like as Using pixel-based techniques is challenging for both species and individuals. We compared a pixel-based method
with a technique based on aerial LiDAR-delineated individual tree crowns (ITCs) for evaluating functional features from remote sensing data
in a subtropical forest setting in China. As pixel size and extent varied, we examined the trait distributions, trait-trait correlations, and functional
diversity metrics produced using the ITC- and pixel-based techniques. We discovered that physiological differences between ITC- and pixel-based
techn.. Read More»
DOI:
10.37421/2332-2543.2022.10.456
Journal of Biodiversity & Endangered Species received 624 citations as per Google Scholar report