XXII ISPRS Congress 2012: Technical Commission VII

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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/6: REMOTE SENSING DATA FUSION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: MONITORING OF GLACIAL CHANGE IN THE HEAD OF THE YANGTZE RIVER FROM 1997 TO 2007 USING INSAR TECHNIQUE Hong'an Wu, Yonghong Zhang, Jixian Zhang, Zhong Lu, Weifan Zhong

Document type:: Multivolume work

Structure type:: Chapter

LLMG, y spectral nds. n: nsing of resolution | imagery ICtions on ation for ges Using 'eoscience ctral and ] Method. ensing, 4T: ultisensor ions, and al, 2(2y or image ods and Sensing, | of high- s. IEEE 1. )9. Super S Remote 0-100. rithm for 1 Images. Sensing, B., 2010. ic quality "rnational formation, K., 2009. Computer 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 MONITORING OF GLACIAL CHANGE IN THE HEAD OF THE YANGTZE RIVER FROM 1997 TO 2007 USING INSAR TECHNIQUE Hong’an Wu**, Yonghong Zhang”, Jixian Zhang”, Zhong Lu ^ Weifan Zhong * a Chinese Academy of Surveying and Mapping, Beijing 100830, China — (wuha, yhzhang, zhangjx)@casm.ac.cn, zhongwf59(2)126.com ? U. S. Geological Survey Center for EROS, Sioux Falls, SD 57198, USA - lu@usgs.gov Commission VII, WG VII/6 KEY WORDS: SAR interferometry, Glacier monitoring, Phase texture analysis, Gray level co-occurrence matrix (GLCM) ABSTRACT: Accurate monitoring of the glacier changes is essential to evaluate the environmental-ecological health in the scenario of global change. Conventional method for glacial monitoring is optical remote sensing. However, affected by cloud and snow cover, it is hard to monitor glacier by optical images. With the fast development of InSAR technique, interferometric coherence has been utilized for extracting glacial information. However, it is difficult to distinguish glacial area from non-glacial area when their coherence is similar, especially for short wavelength radar, such as X-band and C-band. In this case, interferometric phase can play an important role to identify glacier. In this paper, phase texture analysis method is proposed to extract glacier. 8 texture features were analyzed based on gray level co-occurrence matrix (GLCM), including mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation. Among them, variance, contrast and dissimilarity can distinguish glacier from non-glacier clearly most, so they are chosen for RGB combination. Then the RGB combination image is classified into several land covers by maximum likelihood classification (MLC). After post-classification processing, glacial area can be extracted accurately. With this proposed method, two ERS-2 SAR single look complex (SLC) images acquired in 1997 and two ENVISAT ASAR SLC images acquired in 2007 are used to extract glacial area in 1997 and 2007 over Geladandong area, the head of the Yangtze River. The extracted areas are validated by Landsat TM data, which indicate that the proposed method can obtain accurate glacial area. The results also demonstrate during the 10 years, glacial area over Geladandong decreased fast, with a reduction of 22.97km’, 1. INTRODUCTION Glacier change especially mountain glacier change is one of the best natural indicators to global climate change (IPCC, 2001). It not only plays an important role in climatology, but also has a potential influence in economy around the world (Lu, 2002). However, since 1950s, mountain glaciers have recessed fast as the global warming, which is obvious in the Tibet Plateau (Li, 1998; Su, 1999; Wang, 2001). As the solid reservoir, glaciers are the most important water resource in the arid and semi-arid area, in western China. Several Glacier Lake Outburst Flood (GLOF) events took place in this region in the last century causing significant damage to infrastructure and livelihoods (Richardson, 2000). Thus monitoring glacier change accurately is essential to evaluate the recession velocity and glacier melt water runoff. For mountain glaciers, most of them are developed in sparsely populated region with harsh natural environment, so conventional method of monitoring glacier can not be implemented in these areas. With the rapid development of satellite remote sensing technology, high-resolution multi- spectral remotely sensed data provide advanced technical support to glacier monitoring. Using geographic information system, optical remote sensing has been widely used in glacier dynamics monitoring (Dwyer, 1995; Haeberli, 2000; Kargel, 2005). However, because of cloud cover and snow cover effects, multi-spectral data is often difficult to accurately monitor glacier changes. Due to the ability of penetrating cloud cover, * Corresponding author. all-weather and high resolution, synthetic aperture radar (SAR) remote sensing has a more wide application for ice and snow research (Lu,2010; Zhou, 2010), which has been an important supplement for optical remote sensing to overcome its inherent difficulties. Existing method for extracting glacier information by SAR is mainly based on interferometric coherence, which selects appropriate threshold of coherence by comparing the glacial surface and non-glacial surface, because the glacial surface is normally de-coherent seriously. By now this method has been applied successfully (Zhou, 2010; Li, 2001, Li, 2008). However, when the coherence contrast is not obvious, this method cannot extract glacier information exactly. In this case, interferometric phase can play an important role. This paper propose a new method to extract the glacier area in mountain regions by using texture analysis of interferometric phase based on gray level co- occurrence matrix (GLCM) for the monitoring of glacier change in Geladandong area, the head of the Yangtze River, from 1997 to 2007. 2. METHOD 2. Different feature of interferometric phase textures in glacial and non-glacial region For C-band, because of serious decorrelation, interferometric phase in glacial region performs noisy texture with no obvious

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