Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Multivolume work

Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: [FA-3 FOREST DAMAGE]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: FOREST TYPE CLASSIFICATION FOR DEGRADATION ASSESSMENT IN THE MENGYANG NATURE RESERVE, P. R. OF CHINA. Robert DE WULF, Roland GOOSSENS and France GERARD, Boudewijn DE ROOVER, John MACKINNON, Li ZHI XI

Document type:: Multivolume work

Structure type:: Chapter

863 FOREST TYPE C l.ASSIFICATION FOR DEGRADATION ASSESSMENT IN THE MF.NGYANG NATURE RESERVE, P.R. OF CHINA Robert DE WULF, Roland GOOSSENS and France GERARD, Laboratory of Remote Sensing and Forest Management, Gent State University Coupure 653, B-9000 Gent, Belgium Boudewijn DE ROOVER Satellite Reimte Sensing Research Programme (TELSAT-II/04) Coupure 653, B-9000 Gent, Belgium John MACKINNON WWF International, World Conservation Centre CH-1196 Gland, Switzerland Li ZHI XI Laboratory of Remote Sensing in Forestry, Southwest Forestry College Hd: Springs, Kunming, P.R. of China ABSTRACT The study area is located in the Xishuangbanna Dai autonomous prefecture (Yunnan province) in the southwest of the People's Republic of China. The Mengyang Nature Reserve forms part of the Xishuangbanna Nature Reserve totalling some 200000 ha. The variety in relief and soil types, combined with its location in the subtropical region, yields an exceptional richness of vegetation types, offering a challenge for a digital image classification exercise. In addition, human influence profoundly changed the landscape in the past 30 years, resulting in shifting cultivation and various forms of permanent agriculture and cash crop plantations. A Landsat 5 Thematic May.per image forms the basic material for this forest cover classification case study. Extensive field data collection conducted in the summer of 1989 served as reference for supervised classification procedures. The classification exercise involves following experimental variables: class level, classifier type (layered and single step), structure of layered classifier and channel selection. The main objective of this study was to find out if relevant forest classes could be reliably classified. The distinction between primary forest and secondary forest was examined in detail in order to evaluate the usefulness of satellite remote sensing for nature conservation management In an endangered tropical environment. It was concluded that, combining several classification methods, an accuracy of 80% for Level III vegetation classes is possible. Secondary forest can be separated from primary forest (Level II classes) with an accuracy of about 85 %, and Level I classification is possible with an accuracy of 95 %. The best results are obtained using the mid-infrared and the thermal infrared TM channels in conjunction with the near-infrared and the red bands. Key Words : classification, Landsat nature reserve, China 1. JUSTIFICATION Mengyang, as well as the jther nature reserves of Xishuangbanna, features an exceptional floral and faunal richness, and is currently the subject of joint efforts by the Chinese Ministry of Forestry and the World Wide Fund for Nature (WWF) to set up a conservation management plan. Thematic mapping of the natural and man-made vegetation types is a primary requirement for management planning. Spaceborne remote sensing represents a convenient and cost-effective technique to map large areas which a> e difficult to survey by traditional ground methods. The main questions to be answered by Thematic Mapper, forest degradation, the exercise described in this paper are: 1. How well can natural vegetation be distinguished from agricultural land use classes. 2. In view of a reliable assessment of the forest degradation in Xishuangbanna, is it possible to distinguish between primary forest and secondary forest? 3. Which classification strategy yields the best results. In particular, what is the contribution of the Thematic Mapper channels 5, 6 and 7 to the classification accuracy, in addition to channels 2, 3 and 4.

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