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/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]

Document type:: Multivolume work

Structure type:: Chapter

ater 79 284 ter 2% 6% ian ote pp. of EE «ov nal res. ual and ote and ern for the llar 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 FOREST RESOURCES STUDY IN MONGOLIA USING ADVANCED SPATIAL TECHNOLOGIES D. Amarsaikhan * *, M. Saandar ", V. Battsengel ©, Sh. Amarjargal “ ? Institute of Informatics and RS, MAS, Ulaanbaatar-51, Mongolia - amar64(@arvis.ac.mn ® MonMap Engineering Services Co., Ulaanbaatar, Mongolia - msaandar@mongol.net * School of Geography and Geology, NUM, Ulaanbaatar, Mongolia - battsengel@num.edu.mn 4 Research Centre of Astronomy and Geophysics, MAS, Ulaanbaatar, Mongolia - amarshrgl@yahoo.com Commission VII, WG VII/5 KEY WORDS: Optical, Microwave, Forest mapping, Refined maximum likelihood classification ABSTRACT: The aim of this study is to conduct a forest resources study using optical and synthetic aperture radar (SAR) satellite images. For this purpose, a forest-dominated site around the Lake Khuvsgul located in northern Mongolia is selected. As remote sensing (RS) data sources, panchromatic and multispectral Landsat 7 images as well as ALOS PALSAR L-band HH polarization data are used. To produce a reliable land cover map from the multisensor images, a novel refined maximum likelihood classification based on the spectral and spatial thresholds are applied and for the accuracy assessment an overall accuracy is used. Overall, the research demonstrates that advanced spatial technologies based on optical and microwave RS are reliable tools for different forest studies. 1. INTRODUCTION Forest is a very important natural resource that plays a significant role in keeping an environmental stability, ecological balance, environmental conservation, food security and sustainable development in both developed and developing countries. In recent years, deforestation and forest land degradation have become the main concern for forest specialists and ecologists as well as policy and decision-makers dealing with the environment. It has been found that much of the existing forests have been destroyed, mainly by shifting cultivation, timber preparation, legal and illegal logging, forest fires and increased number of people involved in agricultural activities Amarsaikhan ef al. 2011). To protect and conserve the deteriorating forest, it is very important to introduce a sustainable forest management policy. The concept of sustainable forest management should involve clear definition of the desired future condition of a forest, evaluation of the current management practices and thoroughly defined objectives to achieve a desired future condition. Achieving sustainable forest management should require effective measuring and monitoring activities which can provide reliable forest information to support policy and decision-making related to sustainable development (Haase and Camphausen, 2007). It is unambiguous that accurate and real-time forest related spatial information along with its attributes is the key for successful planning and management. In spatial context, such information might be collected from many different sources. However, the most reliable source that could provide real-time information for the accurate analysis could be RS (Amarsaikhan, 2011). * Corresponding author Traditionally, multispectral RS images have been widely used for forest monitoring and management. Since the end of the last century, single polarization SAR data sets have been increasingly accessible for the forest specialists. As the present space science and technology are so advanced, very high resolution multichannel optical and polarimetric SAR images are available for different forest studies. The combined application of optical and radar data sets can provide unique information for forest planning and management, because passive sensor images will represent spectral variations of the top layer of the forest classes, whereas microwave data with its penetrating capabilities can provide some additional information about forest canopy (Amarsaikhan ef al. 2004, Amarsaikhan et al. 2011). Moreover, it is clear that the integrated use of the optical and microwave data sets should improve an accuracy in a forest mapping, because as the images are acquired in different portions of electro-magnetic spectrum, could positively influence a decision-making in overlapping boundaries (Amarsaikhan et al. 2009). The aim of this research is to conduct a forest resources study using optical and microwave RS along with a geographical information system (GIS). For this purpose, a test site located in northern Mongolia has been selected. As RS data sources, multitemporal Landsat ETM+ images and ALOS PALSAR L- band HH polarization data were used. To produce a land cover map from the multisensor images, a novel refined maximum likelihood classification based on the spectral and spatial thresholds has been applied and for the accuracy assessment an overall accuracy was used. The analysis was carried out using Erdas Imagine and ArcGIS systems installed in a PC environment.

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