lidar

Sun, 2016-02-07 11:39

Precision Agriculture and Open Spatial Technologies

Autonomous Vehicles, Drones and Data Driven decisions happening on a sub inch level. A city of the future? No, a farm today. Come find out the current Precision Agricultural techniques for data collection, analysis and dissimulation and where FOSS4G tech plays a key role. From harvesting millions of data points generated from every vehicle on the farm, to the corporate dashboard and reports, FOSS4G plays a role.

Precision Agriculture, drones are just the tip of the iceberg.

Mon, 2016-01-25 15:15

Empirical Mining of Large Data Sets Helps to Solve Practical Large-Scale Forest Management and Monitoring Problems

We present a panoply of examples where empirical mining and statistical analysis of large data sets have already proven useful to help handle vexing problems within the realm of large-scale forest ecology. Some prejudices may exist against empirical approaches, in favor of more process-oriented analytical methods. Because a full understanding and appreciation of particular ecological phenomena are possible only after process-driven, hypothesis-directed research, some forest ecologists may feel that purely empirical data harvesting may represent a less-than-satisfactory approach.

Fri, 2016-01-22 22:45

Filtering point clouds with PDAL and PCL

We will present the intersection of two key open source point cloud libraries, PDAL and PCL. By leveraging PDAL's plugin framework, we have exposed a number of PCL filtering techniques. During our talk, we will provide an overview of both PDAL and PCL, describe the plugin framework, provide instructions for how to get up and running with PDAL, and walk through a handful of filtering examples.

Thu, 2016-01-21 16:36

Fully Automated DEM Generation using Satellite Imagery

High resolution and accurate Digital Elevation Model (DEM) generation from satellite imagery is a challenging problem. In this work, a multiview stereo reconstruction framework is proposed that is applicable to non-stereoscopic satellite images which may have been captured by different satellites. Given a cross-platform satellite image archive, the images are first geolocation corrected with respect to each other using a fully-automated processing pipeline that applies sparse feature matching and bias correction of Rational Polynomial Coefficient (RPC) camera models.

Wed, 2016-01-20 16:41

GRASS GIS loves lidar

Lidar and UAV measurements produce huge point clouds which cannot be handled by classic GIS tools. Not true! New GRASS GIS version offers several tools which are specifically designed for processing of lidar data and point clouds in general.

Wed, 2016-01-20 15:24

Uncovering the Ancient Mound Builders Using Open Data and FOSS Software

The Ancient Mound Builders of North America may be gone but they left behind a world heritage of huge earthworks, monuments, and mounds dating from 3500 BC to around 1600 AD. What can be discovered about their legacy through the use of publicly available Lidar data and open source software? The answer may surprise you.

Wed, 2016-01-20 10:37

Point cloud web services with Greyhound, Entwine, and PDAL

While organized web delivery of vector and raster GIS data are assumed features which most software provide, the same thing for point cloud data has been thus far unsatisfactory. In this talk, we will discuss new open source capabilities that allow you to process and serve massive point cloud collections over the web using commodity cloud computing infrastructure.

Wed, 2016-01-20 04:41

Basing LiDAR surveys on (PostgreSQL) geospatial databases: is it possible?

LiDAR surveys represent one of the largest datasets involved in GIS, corresponding to "point clouds" containing up to several billions of points including more information than simple geospatial coordinates (flight direction, number of returns, color, etc.). The choice of the technology for the management of these data is therefore crucial.

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