Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model
نویسندگان
چکیده
منابع مشابه
Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model
Modeling sub-canopy elevation is an important step in the processing of waveform lidar data to measure three dimensional forest structure. Here, we present a methodology based on high resolution discrete-return lidar (DRL) to correct the ground elevation derived from large-footprint Laser Vegetation Imaging Sensor (LVIS) and to improve measurement of forest structure. We use data acquired over ...
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a Joint Remote Sensing Research Program, School of Geography, Planning and Environmental Management, University of Queensland, St Lucia, QLD 4072, Australia b Remote Sensing Centre, Science Delivery, Department of Science, Information Technology, Innovation and the Arts, 41 Boggo Road, QLD 4102, Australia c Department of Geography and NERC National Centre for Earth Observation University Colleg...
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Canopy characterization is a key factor to improve pesticide application methods in tree crops and vineyards. Development of quick, easy and efficient methods to determine the fundamental parameters used to characterize canopy structure is thus an important need. In this research the use of ultrasonic and LIDAR sensors have been compared with the traditional manual and destructive canopy measur...
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Waveform light detection and ranging (wLiDAR) records the entire backscattered signal of an emitted laser pulse, enabling deeper penetration through tree canopy. However, due to interactions (e.g. reflection, absorption, and transmission) within the canopy, the full proportion of emitted light may not reach the ground, resulting in an attenuated waveform. Correction of attenuation will result i...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2012
ISSN: 2072-4292
DOI: 10.3390/rs4061494