Vegetation traits and parameters serve as key indicators of ecosystem structure,processes,and functioning while also playing crucial roles in biodiversity assessments and the global carbon and water cycles.Remote sens...Vegetation traits and parameters serve as key indicators of ecosystem structure,processes,and functioning while also playing crucial roles in biodiversity assessments and the global carbon and water cycles.Remote sensing technologies have emerged as indispensable ecological tools for capturing the spatial and temporal dynamics of vegetation parameters/traits across diverse landscapes and scales.Instead of relying on empirical relationships between remote sensing and vegetation parameters,more sophisticated data models can now be developed that leverage both vegetation spectral and structural signals to account for the complex interactions between radiation and vegetation canopies and provide a more comprehensive and accurate assessment of vegetation parameters.The proliferation of remote sensing data,particularly with the increasing availability of satellite-based imaging spectroscopy,has created an unprecedented dataset of information about the Earth’s terrestrial biosphere.This exponential growth in data,coupled with an increasing demand for more precise vegetation parameter retrievals,has spurred the development of new methodologies aimed at creating efficient,accurate,and adaptable data analysis techniques and applications for deriving vegetation parameters from remote sensing data.展开更多
基金supported by the National Natural Science Foundation of China(42030111 and 42471372).
文摘Vegetation traits and parameters serve as key indicators of ecosystem structure,processes,and functioning while also playing crucial roles in biodiversity assessments and the global carbon and water cycles.Remote sensing technologies have emerged as indispensable ecological tools for capturing the spatial and temporal dynamics of vegetation parameters/traits across diverse landscapes and scales.Instead of relying on empirical relationships between remote sensing and vegetation parameters,more sophisticated data models can now be developed that leverage both vegetation spectral and structural signals to account for the complex interactions between radiation and vegetation canopies and provide a more comprehensive and accurate assessment of vegetation parameters.The proliferation of remote sensing data,particularly with the increasing availability of satellite-based imaging spectroscopy,has created an unprecedented dataset of information about the Earth’s terrestrial biosphere.This exponential growth in data,coupled with an increasing demand for more precise vegetation parameter retrievals,has spurred the development of new methodologies aimed at creating efficient,accurate,and adaptable data analysis techniques and applications for deriving vegetation parameters from remote sensing data.
