Problems in illustration of the principles of plane coordinate geometry

Walton, William

Bibliographic data

Multivolume work

Persistent identifier:: 192853029X

Title:: Müller-Pouillet's Lehrbuch der Physik und Meteorologie

Sub title:: in vier Bänden : mit über 3000 Abbildungen und Tafeln, zum Teil in Farbendruck

Type of content:: Lehrbuch

Edition title:: Zehnte umgearbeitete und vermehrte Auflage

Year of publication:: 1905

Place of publication:: Braunschweig; Hannover

Publisher of the original:: Druck und Verlag von Friedrich Vieweg und Sohn

Identifier (digital):: 192853029X

Original title:: Eléments de physique expérimentale et de météorologie

Language:: German

Additional Notes:: Bände 1-4 erschienen ab 1905

Contributor:: Lummer, Otto; Wassmuth, A.; Pernter, Josef Maria; Drucker, Carl; Kaufmann, Walter; Nippoldt, Alfred

Editor:: Pfaundler von Hadermur, Leopold

Founder of work:: Müller, Johann Heinrich Jacob; Pouillet, Claude Servais Mathias

Publisher of the digital copy:: Technische Informationsbibliothek (TIB)

Document type:: Multivolume work

Volume

Persistent identifier:: 1928784747

Author:: Lummer, Otto

Title:: Die Lehre von der strahlenden Energie (Optik)

Scope:: XXII, 880 Seiten, VIII teilweise gefaltete Tafeln

Notes on the digital copy:: Unvollständige Vorlage: Seiten 383-384 fehlen

Edition title:: Zehnte umgearbeitete und vermehrte Auflage

DOI:: 10.14463/KXP:1928784747

Year of publication:: 1907

Place of publication:: Braunschweig

Publisher of the original:: Druck und Verlag von Friedrich Vieweg und Sohn

Identifier (digital):: 1928784747

Illustration:: Illustrationen, Diagramme

Signature of the source:: a 3947(2,1),10

Language:: German

Usage licence:: Public Domain Mark 1.0

Founder of work:: Müller, Johann Heinrich Jacob; Pouillet, Claude Servais Mathias

Publisher of the digital copy:: Technische Informationsbibliothek (TIB)

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2025

Document type:: Volume

Collection:: Physics

Title:: INHALTSVERZEICHNIS ZUM ZWEITEN BANDE.

Document type:: Multivolume work

Structure type:: Table of contents

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-4/W15 5th International 3D Geolnfo Conference, November 3-4, 2010, Berlin, Germany 163 AN OPTIMIZED WORKFLOW FOR PROCESSING AIRBORNE LASERSCAN DATA IN A GIS-BASED ENVIRONMENT C. Stal, Ph. De Maeyer, A. De Wulf, T. Nuttens, A. Vanclooster, N. Van De Weghe Department of Geography, Ghent University, Krijgslaan 281, B-9000 Ghent, Belgium - (Cornelis.Stal, Philippe.DeMaeyer, Alain.DeWulf, Timothy.Nuttens, Ann.Vanclooster, Nico.VanDeWeghe)@UGent.be Commission IV, WG IV/8 KEY WORDS: automation, DTM, GIS, LiDAR, modelling, processing ABSTRACT: This article will discuss a technique to convert raw or filtered laserscan-data to rasterized terrain or elevation models, by using ESRI’s ArcGIS and Python. This programming language is supported since ArcGIS 9 and makes it possible to use the ArcGIS geo processor’ (Rodman & Jackson, 2006). For these digital terrain models, filtered airborne laserscanning-data (ALS-data) are used, processed with automated tools from the 3D Analyst Tools. These tools will be programmed in such a way, a minimum intervention of the user is required. This procedure may look very comprehensive, but accessible as well. This is done to make it as transparent as possible and to allow only the direct ESRI's ArcGIS tools to be black boxes. The proposed procedure itself will make it possible to gain the scientist full control on the process, by using regular software and without thorough knowledge of programming. Executing the proposed procedure will result in a set of separate TIN’s, rasters, and a mosaic of rasters. 1. INTRODUCTION One of the most important tools in geo-science are height maps and derived products. In different geographic subdomains, such as archaeology (Devereux, Amable, & Crow, 2008; Gallagher & Josephs, 2008), landscape science (Werbrouck, Van Eetvelde, Antrop, & De Maeyer, 2009) or hydrography (Cobby, Mason, & Davenport, 2001), these maps are widely used for a big variety of applications. With the introduction of LiDAR (Light Detecting and Ranging) and multibeam, scientists are able to dispose high-resolution datasets in a very short time and at a relatively low cost. But without further manipulations of the data, most of the geo-scientist will not be able to gather the information they need. That is why different transformations are required to obtain the desired products. The biggest bottlenecks in this process of transforming datasets in proper height maps are loading the points and interpolate them to a predefined raster. The first step is constrained by the amount of internal memory of the computer. The market offers several programs that overcome this problem, by using a direct link between the data file and the program. Without this intermediate step of stocking the data in a temporally database, the maximum size of a dataset can be exponential in comparison to regular GIS software. On one hand, commercial programs that are able to process huge point sets are expensive. On the other hand, open source software is rare, still in development stage or unfriendly to use for many geo-scientists. Consequently, it would be reasonable to use the GIS-software a geo-scientist normally has Figure 1: Overview of the study area with the used grid

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