Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

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

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; 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:: INTERPRETATION OF TROPICAL VEGETATION USING LANDSAT ETM+IMAGERY M. M. Rahman, E. Csaplovics, B. Koch, M. Köhl

Document type:: Multivolume work

Structure type:: Chapter

INTERPRETATION OF TROPICAL VEGETATION USING LANDSAT ETM+ IMAGERY M. M. Rahman * *, E. Csaplovics®, B. Koch”, M. Köhl“ ? Department of Earth Sciences, Dresden University of Technology, Helmholz strasse 10, D-01069 Dresden, Germany — mahmud@frsws10.forst.tu-dresden.de, csaplovi@rcs.urz.tu-dresden.de ® Dept. of Remote Sensing and Landscape Information System, Albert-Ludwigs University, Tennenbacher strasse 4, D- 79106, Freiburg, Germany — Barbara. Koch@felis.uni-freiburg.de * Department of World Forestry, University of Hamburg, Leuschner strasse 91, 21031 Hamburg, Germany- m.koehl@holz.uni-hamburg.de KEY WORDS: Forestry, Vegetation, Interpretation, Monitoring, Landsat, Imagery ABSTRACT: Monitoring of tropical forest is important as it plays a vital role in Global biodiversity and terrestrial carbon dynamics. Remote sensing can be effectively used to monitor the tropical vegetation. However, an operational tool for interpretation and monitoring of tropical forest has not yet well developed. Therefore, the current study aimed to generate an interpretation key and a spectral library for the forests of south-castern Bangladesh. The study used Landsat ETM+ imagery. Geometrically corrected imagery was obtained from USGS and later was adjusted in the field using GPS. Atmospheric correction was done by modified dark object subtraction method. Eight different vegetation types could be separated from the satellite image. The study has developed an interpretation key, which can be effectively used for monitoring tropical vegetation. A discrete spectral library was also developed from Landsat ETM+ image bands. The result of the study will be quite useful for interpretation and monitoring of tropical forests in similar ecosystem. 1. INTRODUCTION to the configuration or the general outline of objects as recorded on imagery. Man-made feature sometimes follow a regular 1.1 Monitoring of Tropical Forest boundary, but the natural features usually follow natural boundary. Site refers to topographic or geographic location and Forests of the tropical zones, which constitute about half of the is a particular important aid in the identification of vegetation world’s forests and which are mostly occurring in developing types. Texture is the frequency of tonal change on the countries, are overexploited in some regions, under harvested in photographic image. It determines the overall visual others, and unmanaged in nearly all. Those forests consist of ‘smoothness’ or ‘coarseness’ of image features. Pattern relates World's largest biodiversity and play an important role in ^ (o the spatial arrangement of objects. Association refers to the global terrestrial carbon budget. Scientific management of ^ occurrence of certain features in relation to others (Lillesand tropical forests needs a large amount of reliable information that and Kiefer, 2000; Howard, 1991). can only be obtained in a time and cost effective way with the help of aerial photographs and other forms of remote sensing. In 1.3 Visual-interpretation Keys spite of importance and urgency, relative less progress has been made in recent years in the use of air and space-borne imagery of tropical forest vegetation than that of temperate and boreal An image-interpretation key is a set of guidelines used to assist vegetation (Lund 1997). Therefore, the objective of this study is interpreters in rapidly identifying features on a remote sensing to generate a visual-interpretation key and spectral library for ^ image. Depending on the method of presenting diagnostic monitoring vegetation of south-eastern Bangladesh, which are features, image-interpretation keys may be grouped into two currently not available. classes: selective keys and elimination keys. Selective keys are usually made up of typical illustration and descriptions of 1.2 Elements of Visual Interpretation objects in a given category. In contrast, elimination keys require the user to follow a step-by-step procedure, working form the The six primary elements of visual interpretation are tone or general to the specific. One of the more common forms of colour, size, shape, texture, shadow and pattern (Estes and elimination keys is the dichotomous type. Here, the interpreter Simonett, 1975). In addition of those height, size and ^ qst continually select one of two contrasting alternatives until association may be added (Howard, 1970). Tone refers to the he or she progressively eliminates all but one item of the relative brightness or colour of objects on imagery. Size, shape category, which is correctly describing the feature under and position (site), are combined under the term contextual investigations (Avery and Berlin, 1992). information. Size of the object often help to identify it, which includes the recognition of old over-mature trees, maturing Following the above principles several interpretation keys have trees, saplings, seedlings and shrubs on an image. Shape relates been developed both for tropical and temperate forests based on * Corresponding author and permanent address: Bangladesh Space Research and Remote Sensing Organization (SPARRSO), Agargaon, Sher-E-Bangla Nagar, Dhaka-1207, Bangladesh 157

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