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Technical Commission VII (B7)

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Bibliographic data

fullscreen: Technical Commission VII (B7)

Multivolume work

Persistent identifier:
1663813779
Title:
XXII ISPRS Congress 2012
Sub title:
Melbourne, Australia, 25 August-1 September 2012
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663813779
Language:
English
Additional Notes:
Kongress-Thema: Imaging a sustainable future
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Document type:
Multivolume work

Volume

Persistent identifier:
1663821976
Title:
Technical Commission VII
Scope:
546 Seiten
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663821976
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(39,B7)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist ermittelt.
Literaturangaben
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
[VII/4: METHODS FOR LAND COVER CLASSIFICATION]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
DEFINING DENSITIES FOR URBAN RESIDENTIAL TEXTURE, THROUGH LAND USE CLASSIFICATION, FROM LANDSAT TM IMAGERY: CASE STUDY OF SPANISH MEDITERRANEAN COAST N. Colaninno, J. Roca, M. Burns, B. Alhaddad
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VII (B7)
  • Cover
  • Title page
  • TABLE OF CONTENTS
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XXXIX, Part B7, Commission VII - elSSN 2194-9034
  • [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]
  • [VII/2: SAR INTERFEROMETRY]
  • [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]
  • [VII/4: METHODS FOR LAND COVER CLASSIFICATION]
  • LAND COVER INFORMATION EXTRACTION USING LIDAR DATA Ahmed Shaker, Nagwa El-Ashmawy
  • COMBINATION OF GENETIC ALGORITHM AND DEMPSTER-SHAFER THEORY OF EVIDENCE FOR LAND COVER CLASSIFICATION USING INTEGRATION OF SAR AND OPTICAL SATELLITE IMAGERY H. T. Chu and L. Ge
  • DEFINING DENSITIES FOR URBAN RESIDENTIAL TEXTURE, THROUGH LAND USE CLASSIFICATION, FROM LANDSAT TM IMAGERY: CASE STUDY OF SPANISH MEDITERRANEAN COAST N. Colaninno, J. Roca, M. Burns, B. Alhaddad
  • SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY R. Devadas, R. J. Denham and M. Pringle
  • NEW COMBINED PIXEL/OBJECT-BASED TECHNIQUE FOR EFFICIENT URBAN CLASSSIFICATION USING WORLDVIEW-2 DATA Ahmed Elsharkawy, Mohamed Elhabiby & Naser El-Sheimy
  • OPTIMIZATION OF DECISION-MAKING FOR SPATIAL SAMPLING IN THE NORTH CHINA PLAIN, BASED ON REMOTE-SENSING A PRIORI KNOWLEDGE Jianzhong Feng, Linyan Bai, Shihong Liu, Xiaolu Su, Haiyan Hu
  • RANDOM FORESTS-BASED FEATURE SELECTION FOR LAND-USE CLASSIFICATION USING LIDAR DATA AND ORTHOIMAGERY Haiyan Guan, Jun Yu, Jonathan Li, Lun Luo
  • SPATIAL INTERPOLATION AS A TOOL FOR SPECTRAL UNMIXING OF REMOTELY SENSED IMAGES Li Xi, Chen Xiaoling
  • LAND COVER CLASSIFICATION OF MULTI-SENSOR IMAGES BY DECISION FUSION USING WEIGHTS OF EVIDENCE MODEL Peijun Li and Bengin Song
  • RESEARCH ON DIFFERENTIAL CODING METHOD FOR SATELLITE REMOTE SENSING DATA COMPRESSION Z. J. Lin, N. Yao, B. Deng, C. Z. Wang, J. H. Wang
  • ACCURACY EVALUATION OF TWO GLOBAL LAND COVER DATA SETS OVER WETLANDS OF CHINA Z. G. Niu, Y. X. Shan, P. Gong
  • IDENTIFICATION OF LAND COVER IN THE PAST USING INFRARED IMAGES AT PRESENT V. Safár, V. Zdímal
  • ALBEDO PATTERN RECOGNITION AND TIME-SERIES ANALYSES IN MALAYSIA S. A. Salleh, Z. Abd Latif, W. M. N. Wan Mohd, A. Chan
  • MODELING SPATIAL DISTRIBUTION OF A RARE AND ENDANGERED PLANT SPECIES (Brainea insignis) IN CENTRAL TAIWAN Wen-Chiao Wang, Nan-Jang Lo, Wei-I Chang, Kai-Yi Huang
  • POST-CLASSIFICATION APPROACH BASED ON GEOSTATISTICS TO REMOTE SENSING IMAGES : SPECTRAL AND SPATIAL INFORMATION FUSION N. Yao, J. X. Zhang, Z. J. Lin, C. F. Ren
  • CLASSIFICATION OF ACTIVE MICROWAVE AND PASSIVE OPTICAL DATA BASED ON BAYESIAN THEORY AND MRF F. Yu, H. T. Li, Y. S. Han, H. Y. Gu
  • [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
  • [VII/6: REMOTE SENSING DATA FUSION]
  • [VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]
  • [VII/3, VII/6, III/2, V/3: INTEGRATION OF HYPERSPECTRAL AND LIDAR DATA]
  • [VII/7, III/2, V/1, V/3, ICWG V/I: LOW-COST UAVS (UVSS) AND MOBILE MAPPING SYSTEMS]
  • [VII/7, III/2, V/3: WAVEFORM LIDAR FOR REMOTE SENSING]
  • [ADDITIONAL PAPERS]
  • AUTHOR INDEX
  • Cover

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
DEFINING DENSITIES FOR URBAN RESIDENTIAL TEXTURE, THROUGH LAND USE 
CLASSIFICATION, FROM LANDSAT TM IMAGERY: CASE STUDY OF SPANISH 
MEDITERRANEAN COAST 
N. Colaninno**, J. Roca“, M. Burns“, B. Alhaddad® 
? CPSV, Centre of Land Policy and Valuations of the Department of Architectural Technology I at Universitat 
Politécnica de Catalunya, Barcelona Tech (UPC), Av. Diagonal 649, 08028 Barcelona, Spain. 
cpsv.info@upc.edu 
Commission VII, WG VII/4 
KEY WORDS: Land Use, Urban Patterns, Classification, Morphology, Planning, GIS, Landsat 
ABSTRACT: 
In the recent epoch, there has been considerable debate about the urban development along the European Mediterranean area, also 
undertaken by the European Authorities, and in particular regarding the role of spatial planning in order to improve sustainable 
trends of land use. Great transformations along the Spanish Mediterranean coast have generated considerable changes in the 
traditional structure of the landscape, far from the typical model of Mediterranean cities, and the rapidity of these modern dynamics 
has been a significant impact on the spatial patterns, also associated with the expansion of urban connections through the whole 
territory. The increase of large peri-urban areas, sprawled on the territory, and caused by uncontrolled, uncoordinated and unplanned 
growth, inevitably has brought the cancellation of clearly identifiable boundaries between the city and the rural areas. Spatial 
analysis, within quantitative geography and linked to the emerging field of regional science, represents a synthesis of urban and 
regional economics that is consistent with the complex sciences which dominate the simulation of urban form and functions. Most 
urban models deal with the city in terms of the location of its economic and demographic activities, but there is also a move to link 
such models to urban morphologies (Batty 2008). According with these concepts, the investigation, also supported by the use of 
technologies such as remote sensing and GIS, aims to complement the spatial analysis of regional development dynamics by 
classifying urban structures and quantifying some of main characteristics based on morphological features. 
1. INTRODUCTION 
1.1 Overview and motivations 
During the last decades, Spain has been undergoing important 
processes of urban growth, which has implied the consumption 
of large amounts of land, although the total population has 
hardly increased. This consequence has been very important 
along the coastal territory of Spanish Mediterranean side, where 
modern and actual dynamics of development are requiring new 
ways to analyze and quantify urban growth phenomena. Urban 
settlements, and their own formal characteristics, have to be 
wholly defined, being this basic information essential in spatial 
planning, in order to prepare the best practices apt to "respond" 
to the current challenges of territorial changes. How to extract 
and analyze information about residential settlements quickly 
and objectively is the foundation of the studies about economic 
and social development. The improvement of remote sensing 
technology provides a rapid tool for acquiring such information 
quickly (Chen et al. 2010). Quite a lot of useful techniques 
based on remote sensing technologies and methodologies for 
automatic classification of urban landscape have been 
developed, but there is still a challenge to find a generalized 
and objective methodology to be applied in different situations 
and geographical contexts. The use of automatic processes 
requires the reduction, as much as possible, of subjective 
interpretations and arbitrary interventions of analysts. 
  
1.2 General objectives 
The investigation aims to find a relative fast and objective 
methodology to extract impervious areas on large landscapes 
and define different types of urban models, depending on 
morphological characteristics of land occupation. The work 
pretend to strengthen the idea that new technologies can really 
support all the process of planning both in the detection phase 
than in the analysis, and in order to support all the decisions 
which bring the final drafting of spatial plans. 
1.3 Specific objectives 
First pursued result is the classification of several land cover 
categories along the Mediterranean side of Spain, through the 
use of satellite imagery and remote sensing techniques. It will 
be place emphasis on the impervious areas. After that we 
pretend to improve a methodology for automatic categorization 
of different typologies of urban texture, depending on their 
physical characteristics and based on a set of indicators such as 
size, shape, density and fragmentation of the urban settlements. 
Final result will be the automatic classification of three main 
morphological models of urban fabric: continuous, 
discontinuous, and scattered. It will be achieved by using 
statistical techniques such as factorial and cluster analysis. 
* Architect and PhD candidate in Urban and Architectural Management and Valuations at UPC, Universitat Politecnica de 
Catalunya, Barcelona Tech. Researcher at the LMVC, Virtual City Modelling Lab of the Universitat Politècnica de Catalunya, 
Av. Diagonal 649, 4* pl. 08028 Barcelona, Spain. 
nicola.colaninno@gmail.com 
Tel: 0034 934011933. E-mail: nicola.colaninno@upc.edu
	        

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