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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
New Approaches For Evaluating Lidar-Derived Shoreline, Christopher Parrish, Stephen A. White, Brian R. Calder, Shachak Pe'eri, Yuri Rzhanov
New Approaches For Evaluating Lidar-Derived Shoreline, Christopher Parrish, Stephen A. White, Brian R. Calder, Shachak Pe'eri, Yuri Rzhanov
Center for Coastal and Ocean Mapping
This study presents and compares two new methods of assessing the uncertainty of lidar-derived National Shoreline mapped by NOAA’s National Geodetic Survey: an empirical (ground-based) approach and a stochastic (Monte Carlo) approach. OCIS codes: (280.3640) Lidar; (120.2830) Height measurements; (000.4430) Numerical approximation and analysis
Simulating An Airborne Lidar Bathymetry (Alb) System, Shachak Pe'eri, Amaresh M. Kumar, Brian R. Calder
Simulating An Airborne Lidar Bathymetry (Alb) System, Shachak Pe'eri, Amaresh M. Kumar, Brian R. Calder
Center for Coastal and Ocean Mapping
This study’s focus is on the horizontal and vertical uncertainties associated with ALB measurements due to scattering through the water column. A lidar simulator was constructed and we present its design and preliminary results.
Charts Data Fusion: Multi-Sensor Imagery Co-Registration, Shachak Pe'eri, Yuri Rzhanov
Charts Data Fusion: Multi-Sensor Imagery Co-Registration, Shachak Pe'eri, Yuri Rzhanov
Center for Coastal and Ocean Mapping
The compact hydrographic airborne rapid total survey (CHARTS) is a USACE sensor system that includes a SHOALS-3000 (3-kHz bathymetric laser and a 20-kHz topographic laser), CASI-1500 hyperspectral scanner, and a DuncanTech (DT)- 4000 digital RGB camera. The datasets produced from each sensor in CHARTS contributes a specific aspect according to its physical capabilities and limitations. Fusion of data products from a multi-sensor collection has the potential to perform a comprehensive survey and to produce tools for geo-analysis, especially for coastal research. A basic requirement in the data fusion is the co-registration between the datasets. Data from GPS/INS was intentionally ignored …
Mosaicing Tool For Aerial Imagery From A Lidar Bathymetry Survey, Shachak Pe'eri, Yuri Rzhanov
Mosaicing Tool For Aerial Imagery From A Lidar Bathymetry Survey, Shachak Pe'eri, Yuri Rzhanov
Center for Coastal and Ocean Mapping
Aerial imagery collected during lidar bathymetry surveying provides an independent reference dataset for ground truth. Mosaicing of aerial imagery requires some manual involvement by the operator, which is time consuming. This paper presents an automatic mosaicing procedure that creates a continuous and visually consistent photographic map of the imaged area. This study aimed to use only the frames from the aerial camera without additional information. A comparison between the features in the resultant mosaic and a reference chart shows that the mosaic is visually consistent and there is good spatial-geometric correlation of features.
Development And Assessment Of Airborne Lidar Bathymetry Products For Shoreline Mapping, Lynnette V. Morgan, Shachak Pe'eri, Andy Armstrong
Development And Assessment Of Airborne Lidar Bathymetry Products For Shoreline Mapping, Lynnette V. Morgan, Shachak Pe'eri, Andy Armstrong
Center for Coastal and Ocean Mapping
Accurate and consistent shoreline determinations play a major role in nautical charting and coastal management boundary assessment. Delineations along this dynamic margin are dependent upon the stage of tide and are demarcated by tidal datums such as Mean High Water (MHW) and Mean Lower Low Water (MLLW). This study investigated airborne lidar bathymetry (ALB) as a potential tool to support shoreline mapping. A computerized process was devised to obtain shoreline determinations from a lidar dataset processed using various algorithms and by devising a threshold to distinguish land and water. The algorithm-derived land-water interfaces are analyzed against the reference shoreline constructed …
Exploiting Full-Waveform Lidar Data And Multiresolution Wavelet Analysis For Vertical Object Detection And Recognition, Christopher Parrish
Exploiting Full-Waveform Lidar Data And Multiresolution Wavelet Analysis For Vertical Object Detection And Recognition, Christopher Parrish
Center for Coastal and Ocean Mapping
A current challenge in performing airport obstruction surveys using airborne lidar is lack of reliable, automated methods for extracting and attributing vertical objects from the lidar data. This paper presents a new approach to solving this problem, taking advantage of the additional data provided byfull-waveform systems. The procedure entails first deconvolving and georeferencing the lidar waveformdata to create dense, detailed point clouds in which the vertical structure of objects, such as trees, towers, and buildings, is well characterized. The point clouds are then voxelized to produce high-resolution volumes of lidar intensity values, and a 3D wavelet decomposition is computed. Verticalobject …
Lidar As A Shoreline Mapping Tool, Shachak Pe'eri, C. W. Morgan, William D. Philpot, G Guenther, Andy Armstrong
Lidar As A Shoreline Mapping Tool, Shachak Pe'eri, C. W. Morgan, William D. Philpot, G Guenther, Andy Armstrong
Center for Coastal and Ocean Mapping
No abstract provided.
A Sensor Fusion Approach To Coastal Mapping, Maryellen Sault, Christopher Parrish, Stephen A. White, Jon Sellars, Jason Woolard
A Sensor Fusion Approach To Coastal Mapping, Maryellen Sault, Christopher Parrish, Stephen A. White, Jon Sellars, Jason Woolard
Center for Coastal and Ocean Mapping
NOAA’s National Geodetic Survey (NGS) is responsible for mapping the national shoreline. This shoreline provides the critical baseline for demarcating the United States’ marine territorial limits, including its Exclusive Economic Zone; and is used in updating NOAA nautical charts and management of coastal resourses. NGS conducted a data fusion research project in collaboration with the Joint Airborne Lidar Bathymetric Technical Center of Expertise (JALBTCX) and other NOAA partners. In March and April of 2004, hyperspectral imagery, topographic lidar data, and highresolution digital color imagery were collected simultaneously aboard the NOAA Citation for coastal project areas in Florida and California. The …
Lake Tahoe Bottom Characteristics Extracted From Shoals Lidar Waveform Data And Compared To Backscatter Data From A Multibeam Echo Sounder, G. Elston, James V. Gardner
Lake Tahoe Bottom Characteristics Extracted From Shoals Lidar Waveform Data And Compared To Backscatter Data From A Multibeam Echo Sounder, G. Elston, James V. Gardner
Center for Coastal and Ocean Mapping
The waveforms recorded by airborne lidar bathymetry (ALB) systems are currently processed only for depth information. In addition to bathymetry, multibeam echo sounder (MBES) systems provide backscatter data in which regions of different acoustic properties are distinguishable. These regions can often be correlated to different bottom types. Initial attempts to extract equivalent data from the ALB waveforms have confirmed the expectation that such information is encoded in those waveforms. Water clarity, bathymetry, and bottom type control the detailed shapes of ALB waveforms in different ways. Specific features of a bottom-reflected signal can be identified, for example its rise-time and amplitude, …