ILMF 2015

ASPRS Hot Topics Session at ILMF 2014

The American Society for Photogrammetry and Remote Sensing (ASPRS) will provide an update on activities of the
society associated with LIDAR and point cloud processing. 

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Register for ASPRS Hot Topics when you register for ILMF. There’s no charge to attend.  

MONDAY, February 17


Registration Opens


ASPRS welcome coffee


ASPRS Hot Topics Intro: Lewis Graham, GeoCue Corporation


ASPRS Topic #1: David Maune, Senior Remote Sensing Project Manager, Dewberry Consultants LLC

Draft ASPRS Accuracy Standards for Digital Geospatial Data

With the rapid advancements in sensors and technologies, many if not all existing map accuracy standards are unable to represent the accuracies of digital geospatial data produced from today's LiDAR, IFSAR, and digital cameras. The American Society for Photogrammetry and Remote Sensing is developing new "ASPRS Accuracy Standards for Digital Geospatial Data," intended to replace the existing "ASPRS Accuracy Standards for Large-Scale Maps" (1990) and the "ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data" (2004). Intended to be finalized in 2014, the new standards include accuracy thresholds for digital orthophotos and digital elevation data, independent of published map scale or contour interval.

Learning objective #1 will compare the draft new standards with the old standards being replaced with focus on vertical standards pertaining to elevation datasets, including ten proposed vertical accuracy classes; and will include the rationale for two new terms: Non-Vegetated Vertical Accuracy (NVA) and Vegetated Vertical Accuracy (VVA). Learning objective #2 will address relative accuracy swath-to-swath; recommended minimum Nominal Pulse Density (NPD)/maximum Nominal Pulse Spacing (NPS) for the ten vertical accuracy classes; number and spatial distribution of QA/QC check points based on project area; and delineation of Low Confidence Areas. The presentation will conclude with accuracy testing and evaluation of a sample LiDAR dataset based on these new, draft standards.



ASPRS Topic #2: Ajit Sampath, Calibration Validation Engineer, SGT, Contractor to US Geological Survey

Developing Internal Data Quality Metrics for Lidar: A USGS-ASPRS Research Effort

Current Lidar data quality assessment methods are inadequate in reporting a) the quality of calibration of Lidar system, which is an essential indicator of the overall quality of data, and b) the absolute horizontal accuracy of the data.  The US Geological Survey partnered with the ASPRS aerial Lidar committee to determine methods to address this fact. The quality of calibration most easily manifests itself in the overlapping regions of the various swaths of data. The USGS led Lidar committee has identified procedures to test the relative accuracy of Lidar data within the overlapping regions swaths. Data Quality Measures (DQMs) were defined to provide a theoretical basis for accuracy assessment and software that realizes the DQMs was developed. The DQM software was tested on a variety of aerial lidar data sets and the results analyzed. A statistically robust set of thresholds are being developed to classify data sets into different categories based on their internal/relative accuracy.


ASPRS Topic #3: A Summary of ASPRS LIDAR Activities and Needs

In this session we will review the various activities being conducted by the ASPRS LIDAR Division.  We will review the current status of the LAS file format and engage the audience in a bit of dialog on the future direction for this ubiquitous standard.  We will also discuss several emerging LIDAR sensor technologies and assess their impact on data file formats and accuracy standards.











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