Results 21 to 30 of about 968 (174)
Evaluate the Impact of Class Granularity in Point Cloud Semantic Segmentation on DTM Accuracy [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe Digital Terrain Model (DTM) is considered an essential component in various applications, including road design, urban planning, terrain analysis, and, environmental monitoring.
H. A. Sadeq
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A SEGMENT-BASED APPROACH FOR DTM DERIVATION OF AIRBORNE LIDAR DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Abstract. With the characteristics of LIDAR system, raw point clouds represent both terrain and non-terrain surface. In order to generate DTM, the paper introduces one improved filtering method based on the segment-based algorithms. The method generates segments by clustering points based on surface fitting and uses topological and geometric properties
D. Tang, X. Zhou, J. Jiang, C. Li
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Remote Sensing, 2020 In this study, we compared the accuracies of above-ground biomass (AGB) estimated by integrating ALOS (Advanced Land Observing Satellite) PALSAR (Phased-Array-Type L-Band Synthetic Aperture Radar) data and TanDEM-X-derived forest heights (TDX heights) at
Ai Hojo +4 more
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Airborne laser scanning for terrain modeling in the Amazon forest [PDF]
Acta Amazonica, 2018 Very few studies have been devoted to understanding the digital terrain model (DTM) creation for Amazon forests. DTM has a special and important role when airborne laser scanning is used to estimate vegetation biomass.
Mariana Silva ANDRADE +6 more
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Land, 2022 The objective of the study is to show that landslide conditioning factors derived from different source data give significantly different relative influences on the weight factors derived with statistical models for landslide susceptibility modelling and
Marko Sinčić +4 more
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International Journal of Digital Earth, 2019 The aim of this paper was to study reliable automated delineation possibilities of karst sinkholes using a LiDAR-based digital terrain model (DTM) with pixel-based classifications.
Péter Enyedi +4 more
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Forest road design and calculation of biomass removal volume using Unmanned Aerial Vehicles (UAVs) combined with LiDAR sensors [PDF]
E3S Web of ConferencesThis study explores the application of Unmanned Aerial Vehicles (UAVs) equipped with LiDAR and photogrammetric sensors for designing a third-class forest road and estimating biomass removal volume in a protected mountainous region of Northern Greece ...
Kolkos Georgios +4 more
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An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation
Remote Sensing, 2023 Digital terrain model (DTM) creation is a modeling process that represents the Earth’s surface. An aptly designed DTM generation method tailored for intended study can significantly streamline ensuing processes and assist in managing errors and uncertainties, particularly in large-area projects.
Hunsoo Song, Jinha Jung
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Water level and volume estimations of the Albano and Nemi lakes (central Italy)
Annals of Geophysics, 2008 In April 2006 an airborne laser scanning (LIDAR) survey of the Albano and Nemi craters was carried out to obtain a high resolution digital terrain model (DTM) of the area.
A. Mazzoni +3 more
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AUTOMATIC EXTRACTION OF DTM FROM LOW RESOLUTION DSM BY TWOSTEPS SEMI-GLOBAL FILTERING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Automatically extracting DTM from DSM or LiDAR data by distinguishing non-ground points from ground points is an important issue. Many algorithms for this issue are developed, however, most of them are targeted at processing dense LiDAR data, and lack ...
Y. Zhang, Y. Zhang, Y. Zhang, X. Li
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