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Commission IV (Part 4)

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Bibliographic data

fullscreen: Commission IV (Part 4)

Multivolume work

Persistent identifier:
85670931X
Author:
Ogleby, Cliff
Title:
Archives; XXII Congress of the International Society for Photogrammetry and Remote Sensing
Sub title:
Melbourne, Australia, 25 August - 1 September 2012
Year of publication:
2012
Place of publication:
Deakin West, ACT
Publisher of the original:
International Society for Photogrammetry and Remote Sensing
Identifier (digital):
85670931X
Language:
English
Document type:
Multivolume work

Volume

Persistent identifier:
856718505
Author:
Ogleby, Cliff
Title:
Commission IV
Sub title:
Melbourne, Australia, 25 August - 1 September 2012
Scope:
XIV, 588 Seiten, Seiten XV - XXIX
Year of publication:
2012
Place of publication:
Deakin West, ACT
Publisher of the original:
International Society for Photogrammetry and Remote Sensing
Identifier (digital):
856718505
Illustration:
Illustrationen, Diagramme, Karten
Signature of the source:
ZS 312(39,B4a)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
IV/2: [Automatic Geospatial Data Acquisition and Image-Based Databases]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
MULTI-TEMPORAL ANALYSIS OF LANDSCAPES AND URBAN AREAS. E. Nocerino, F. Menna, F. Remondino
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Archives; XXII Congress of the International Society for Photogrammetry and Remote Sensing
  • Commission IV (Part 4)
  • Cover
  • Title page
  • ISPRS Council 2008-2012
  • Technical Commission Presidents 2008-2012
  • Organising Committee, XXII Congress
  • Preface
  • Table of Contents
  • [IV/1: Geospatial Data Infrastructure]
  • IV/2: [Automatic Geospatial Data Acquisition and Image-Based Databases]
  • Object-Based Building Extraction from High Resolution Satellite Imagery. R. Attarzadch, M. Momeni
  • AUTOMATED 3D ROAD SIGN MAPPING WITH STEREOVISION-BASED MOBILE MAPPING EXPLOITING DISPARITY INFORMATION FROM DENSE STEREO MATCHING. S. Cavegn, S. Nebiker
  • MULTITEMPORAL QUALITY ASSESSMENT OF GRASSLAND AND CROPLAND OBJECTS OF A TOPOGRAPHIC DATASET. P. Helmholz, T. Büschenfeld, U. Breitkopf, S. Müller, F. Rottensteiner
  • HOUSEDIFF: A MAP-BASED BUILDING CHANGE DETECTION FROM HIGH RESOLUTION SATELLITE IMAGERY USING GEOMETRIC OPTIMIZATION METHOD. N. Ishimaru, K. Iwamura, Y. Kagawa, T. Hino
  • FUSION OF AIRBORNE AND TERRESTRIAL IMAGE-BASED 3D MODELLING FOR ROAD INFRASTRUCTURE MANAGEMENT - VISION AND FIRST EXPERIMENTS. S. Nebiker, S. Cavegn, H. Eugster, K. Laemmer, J. Markram, R. Wagner
  • MULTI-TEMPORAL ANALYSIS OF LANDSCAPES AND URBAN AREAS. E. Nocerino, F. Menna, F. Remondino
  • IN-DATABASE RASTER ANALYTICS: MAP ALGEBRA AND PARALLEL PROCESSING IN ORACLE SPATIAL GEORASTER. Qingyun (Jeffrey) Xie, Zhihai Zhang, Siva Ravada
  • ARCGIS DATA MODELS FOR MANAGING AND PROCESING IMAGERY. Hong Xu, Peter Becker
  • VECTORIZATION OF LINEAR FEATURES IN SCANNED TOPOGRAPHIC MAPS USING ADAPTIVE IMAGE SEGMENTATION AND SEQUENTIAL LINE TRACKING. Yun Yang, Xiaoya An, Limin Huang
  • IV/3: Mapping from High Resolution Data
  • IV/4: [Virtual Globes and Context-Aware Visualisation]
  • V/5: [Distributed and Web-Based Geoinformation Services and Applications]
  • [IV/6: Global DEM Interoperability]
  • IV/7: [Planetary Mapping and Databases]
  • IV/8: 3D Spatial Data Integration for Disaster Management & Env. Monitoring
  • [ICWG IV/VIII: Updating and Maintenance of Core Spatial Databases]
  • IV/1,4,5, II/2,6,8: [Data Modeling for Online Geographic Infomation Services]
  • IV/2, IV/4: [Point Cloud Processing, Management and Visualization]
  • [IV/2, IV/II: GeoSensor Networks and Sensor Web]
  • [IV/5, IV/1, ll/IV, IV/8, IV/3: Free and Open Source Web Mapping and Processing] XXII ISPRS Congress
  • IV/5,4,1,8, II/6, VI/1,2: Web-based Virtual and Shared Geospatial Environments
  • [IV/II, IV/8, IV/1: Volunteered Geospatial Information]
  • [CIPA, TC IV: 3D Dynamic Landscape Visions for Cultural Heritage/Archaeology]
  • [ICA and IV/5: Crowdsourcing and Volunteered Geographic Information]
  • [ICA and] IV/7: [Exploring the Moon!]
  • URSI and ISPRS: Disaster Management
  • ISPRS and GSDI: [Spatially Enabled Society]
  • URSI and ISPRS: [Disaster Management] Open Geospatial Consortium Forum
  • Author Index
  • Keyword Index
  • Cover

Full text

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B4, 2012 
XXII ISPRS Congress, 25 August - 01 September 2012, Melbourne, Australia 
85 
MULTI-TEMPORAL ANALYSIS OF LANDSCAPES AND URBAN AREAS 
E. Nocerino, F. Menna, F. Remondino 
3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy 
Web: http://3dom.fbk.eu 
E-mail: <nocerino><fmenna><remondino>@fbk.eu 
Commission IV, WG2 
KEY WORDS: Multi-temporal, Land Use, Photogrammetry, Aerial Imagery, Orthorectification, Databases 
ABSTRACT: 
This article presents a 4D modelling approach that employs multi-temporal and historical aerial images to derive spatio-temporal 
information for scenes and landscapes. Such imagery represent a unique data source, which combined with photo interpretation and 
reality-based 3D reconstruction techniques, can offer a more complete modelling procedure because it adds the fourth dimension of 
time to 3D geometrical representation and thus, allows urban planners, historians, and others to identify, describe, and analyse 
changes in individual scenes and buildings as well as across landscapes. Particularly important to this approach are historical aerial 
photos, which provide data about the past that can be collected, processed, and then integrated as a database. The proposed 
methodology employs both historical (1945) and more recent (1973 and 2000s) aerial images from the Trentino region in North 
eastern Italy in order to create a multi-temporal database of information to assist researchers in many disciplines such as topographic 
mapping, geology, geography, architecture, and archaeology as they work to reconstruct building phases and to understand landscape 
transformations (Fig. 1). 
year: 1945 year: 1973 year: 2005 
Figure 1: Examples of multi-temporal aerial imagery used in the project to acquire spatio-temporal data and identify 
anthropomorphic changes landscapes. 
1. INTRODUCTION 
Since the advent of photography in the XIX century, the 
possibility of acquiring images from the air has been recognised 
as an invaluable source of data, especially for military strategic 
planning. Prior to satellite imagery, aerial photographs were the 
primary source of information about the Earth’s surface. Images 
from balloons, airplanes, helicopters, and even modern 
unmanned drones, are important sources of information for 
mapping purposes; however, these images offer many other 
potential uses that are typically not investigated once the map is 
produced. In particular, historical aerial imagery are often 
overlooked despite the fact that they store unique information 
about the past, that is useful for many disciplines including 
topographic mapping, geology, geography, architecture and 
archaeology. In the era of digital photogrammetry, historical 
photos represent a unique resource that, together with photo 
interpretation and reality-based 3D reconstruction techniques, 
can offer a more complete modelling procedure, by adding the 
fourth dimension of time to 3D geometrical representations. A 
spatio-temporal or 4D modelling approach allows researchers to 
identify, describe, and subsequently analyse changes in 
individual scenes and buildings as well as across landscapes. 
Such data about change through time assist researchers as they 
work to reconstruct changes in buildings and understand 
landscape transformations. For example, researchers have used 
multi-temporal imagery for many purposes like: (1) 
investigation of land cover dynamics (Ratcliffe & Henebry, 
2004; Sandric et al., 2007), (2) detection of change detection in 
historic city centers (Patias et al., 2011), (3) creation of 4D 
interactive presentations of heritage sites (El-Hakim et al., 
2008), (4) modelling of architectural changes (Stefani et al., 
2011), (5) 4D city modelling (Schindler, 2010) and (6) urban 
analyses (Vizzari, 2011). 
The article presents a spatio-temporal modelling approach using 
the Trentino region (Italy) as a case study. The employed 
methodology makes use of both historical and more recent 
aerial images and orthophotos (Fig. 1) in order to acquire data 
to create a multi-temporal database of information. Rigorous 
photogrammetric measurement techniques for image 
triangulation, Digital Surface Model (DSM) production and 
orthoimage generation were applied to historical photos dating 
back to the Second World War (WWII) in order to derive metric 
and geo-referenced information about past scenes. From these
	        

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