XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

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/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: DETERMINATION OF MAGNITUDE AND DIRECTION OF LAND USE/ LAND COVER CHANGES IN TERKOS WATER BASIN, ISTANBUL F. Bektas Balcik, C. Goksel

Document type:: Multivolume work

Structure type:: Chapter

ation 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 DETERMINATION OF MAGNITUDE AND DIRECTION OF LAND USE/ LAND COVER CHANGES IN TERKOS WATER BASIN, ISTANBUL F. Bektas Balcik ^ *, C. Goksel * ? ITU, Civil Engineering Faculty, 34469, Maslak Istanbul, Turkey - (bektasfi, goksel)@itu.edu.tr Commission VII, WG VII/5 KEY WORDS: Land Use, Land Cover, Environment, Change Detection, SPOT, Analysis ABSTRACT: Remotely sensed data have huge importance to determine land use/cover changes for sustainable region planning and management. Variety of techniques in order to detect land cover dynamics using remote sensing imagery have been developed, tested and assessed with the results varying according to the change scenario, the information required and the imagery applied. In this study, the modified Change Vector Analysis (mCVA) technique was implemented on SPOT 4 and SPOT 5 multispectral (MS) data to monitor the dynamics of land use/land cover (LULC) change in Terkos Water Basin, Istanbul. mCVA was applied to multi-temporal data to compare the differences in the time-trajectory of the Tasseled Cap (TC) brightness, greenness and wetness for two successive time periods — 2003 and 2007. Gram Schmidt Orthogonalization Technique was used to derive the related TC coefficients for SPOT data. The efficiency of the technique was assessed based on error matrix. The overall accuracy and Kappa statistic was 84.32 % and 0.81, respectively. The results indicated that it is possible to produce accurate change detection maps with the help of MCVA and SPOT 4 &SPOT 5 satellite data. 1. INTRODUCTION Land use and land cover (LULC) change is an essential issue in monitoring and managing Earth surface. Due to the anthropogenic and natural activities, the Earth’ surface is being significantly altered. These alterations are linked to other forms of environmental degradations and transformations such as habitat and biodiversity loss, invasive species and ground water depletion (Lambin and Strahler, 1994; Flores and Yool, 2007). Accurate and efficient techniques are necessary to provide up- to-date LULC change information. During recent decades, remotely sensed imagery became a major data source for LULC change detection because of the advantages of temporal data, synoptic view, fast data acquisition and digital format suitable for computer processing (Lu et al, 2004). Many different remote sensing change detection algorithms are applied to determine LULC change detection and to produce thematic maps for monitoring, planning, and management of natural resources (Balik Sanli et al, 2007; Bektas Balcik, 2010). Coppin et al., (2004) give a comprehensive review of the wide range of change detection techniques. In this study, Change Vector Analysis (CVA) was selected to exploit the full range of spectral information contained in the remotely sensed data to determine the magnitude and direction of change using SPOT 4 and SPOT 5 MS data from the years of 2003, and 2007. Change magnitude and direction were determined by using brightness, greenness and wetness axes of the Tasseled Cap Transform (Kauth-Thomas transform). LULC change dynamics were delineated by applying ISODATA classification. The performance of mCVA method was analyzed by calculating overall accuracy and Kappa statistic. * Corresponding Author :Asst. Prof. Dr. Filiz Bektas Balcik 2. STUDY AREA In this study, Terkos Water Basin, Ístanbul was selected as study area. Lake Terkos is one of the most important drinking water sources of the Istanbul. The natural freshwater lake is located northwest Istanbul and is separated from the Black Sea with a thin land barrier (Figure 1). It lies between latitudes 40°19'N and 41°42'N, and longitudes 28?29'E and 28?32'E. The area of the basin is 632 km? and the area of the Lake Terkos is 42 km’. The region includes agricultural areas, vegetated lands, a fresh water lake, mixed forest, wetlands and residential areas. Lake Terkos is an important vegetation area (Ozhatay et al., 2003) and it provides approximately 25% of drinking water demand of Istanbul (Coskun et al., 2006). Figure 1. Location of Istanbul and Terkos Water Basin Rapid industrialization, urbanization and population increase have caused to changes in landscape characteristics of the Istanbul. This urban growth causes dramatic problems in use of the natural resources such as fresh water supplies. bektasfi@itu.edu.tr

Access restriction

Copyright

fullscreen: Technical Commission VII (B7)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation