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dc.contributor.advisorHancock, Stevenen
dc.contributor.authorDong, Jialinen
dc.date.accessioned2021-05-13T14:40:21Z
dc.date.available2021-05-13T14:40:21Z
dc.date.issued2020-08-30
dc.identifier.urihttps://hdl.handle.net/1842/37607
dc.identifier.urihttp://dx.doi.org/10.7488/era/888
dc.description.abstractForests play an essential role in the terrestrial ecosystem. To better measure and understand the changes and structure of vegetation above land, NASA launched Global Ecosystem Dynamics Investigation (GEDI) space-borne lidar to monitor 51.6°S to 51.6°N areas. Currently, few pieces of research investigate how LAI varies with the height from the identified ground to canopy top in relatively high resolution. Generally, the waveform processing methods for GEDI can be categorised into two types: one is the direct decomposing. Another one is the deconvolution. For the second one, the Gold algorithm is a new method. This paper attempts to enhance the performance of the deconvolution and optimise Gold algorithm in the way of acquiring the optimised parameters combination. To improve the resolution of foliage estimate.en
dc.language.isoen
dc.publisherThe University of Edinburghen
dc.subjectGEDI; PAI; deconvolution; waveform; Gold algorithmen
dc.titleUse deconvolution to increase the resolution of the plant area index (PAI) estimatesen
dc.typeThesis or Dissertationen
dc.relation.referencesHancock, S, Armston, J, Hofton, M, Sun, X, Tang, H, Duncanson, L I, Kellner, J R & Dubayah, R 2019, 'The GEDI simulator: A large-footprint waveform lidar simulator for calibration and validation of spaceborne missions', Earth and Space Science. https://doi.org/10.1029/2018EA000506.en
dc.type.qualificationlevelMastersen
dc.type.qualificationnameMSc Master of Scienceen


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