Large uncertainties in terrestrial carbon stocks and sequestration predictions result from insufficient regional data characterizing forest structure. This study uses satellite waveform lidar from ICESat to estimate regional forest structure in central New England, where each lidar waveform estimates fine-scale forest heterogeneity. ICESat is a global sampling satellite, but does not provide wa...

List studenata Geodetskog fakulteta Sveučilišta u Zagrebu Summary: This paper critically analyses the state of the art provided in today’s scientific »market of knowledge« concerning the subject of object delineation from LiDAR obtained 3D point clouds. Such approach became a very popular subject in many scientific fields (forestry, geography, archaeology, etc.). The author will give multiple e...

The data processing of airborne full-waveform light detection and ranging (LiDAR) systems has become a research hotspot in the LiDAR field recent years. However, accuracy reliability classification remain challenge. manual features deep learning techniques existing methods cannot fully utilize temporal spatial information full waveform. On premise preserving dependencies, we convert them into G...

In this work we present a model-based approach to sensor fusion that produces detailed information on vegetation structure and aboveground biomass for terrestrial ecology studies related to the carbon cycle and biodiversity. We integrate lidar data with polarimetric and interferometric SAR data in a joint optimization framework using a combination of physics-based and empirically derived sensor...

Estimation of forest carbon storage is a critical challenge for understanding the global carbon cycle because it dominates the dynamics of the terrestrial carbon cycle. Light Detection and Ranging (LiDAR) system has a unique capability for estimating accurately forest canopy height, which has a direct relationship and can provide better understood to the aboveground carbon storage. To test the ...

The overarching aim of this paper is to enhance the visualisations and classifications of airborne remote sensing data for remote forest surveys. A new open source tool is presented for aligning hyperspectral and full-waveform LiDAR data. The tool produces coloured polygon representations of the scanned areas and aligned metrics from both datasets. Using data provided by NERC ARSF, tree coverag...

This study has investigated how average effective leaf area index (LAIe) derived from full-waveform and discrete LiDAR data changes depending on the size of the grid used, over a 150 m by 80 m area of orange orchard. The full-waveform data, acquired with RIEGL LMS-Q560, were decomposed and optimized with a trust-region-reflective algorithm using a custom decomposition procedure focused on extra...

A novel de-noising method for improving the performance of full-waveform light detection and ranging (LiDAR) based on differential optical path is proposed, and the mathematical models of this method are developed and verified. Backscattered full-waveform signal (BFWS) is detected by two avalanche photodiodes placed before and after the focus of the focusing lens. On the basis of the proposed m...