Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856343064

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

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

Editor:: Damen, M. C. J.

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:: 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Interpretation of classification results of a multiple data set. Helmut Beissmann, Manfred F. Buchroithner

Document type:: Multivolume work

Structure type:: Chapter

14 presence of some few indicator species or have even been relatively homogenously reformed by cattle grazing which led to mutual misclassifications. A fusion of the 24 associations to only 16 classes let the classification accurasy rise from 40 % to 80 %. 6 CONCLUSION Within the present study once more it turned out that object classes of geoscientific maps can be automatically reclassified using remote sensing data with very different success. Some of the reasons for these stronly diverging results are the following: - poor geometrical quality of boundaries of object classes; - generosity in field mapping; cartographic generalization; - problematic spatial delimitation of object classes and their topographic neighbourhood (length and shape of borderlines) ; - different radiometric quality within one image; - similarity of object classes in spectral characteristics (feature space); - changes between date of field mapping and date of remote sensing data acquisition; selection of training areas; - selection of classification algorithm; - different suitability of remote sensing as a measuring method for various object classes; - different empirical contents of predominantly theory-derived categories; different validity of indirect conclusions from sensor-exposed surface classes to subterraneous object classes; allochthonous geo-ecosystems. Based on our experiences we would like to emphasize that the combined interpretation of remote sensing data and thematic maps by means of digital image processing is an indispensable help in geoscientific and geoecological studies. It is mainly two applications which are of special interest. One is the possiblity to relativize the information derived from various sources in a way, that as a final product more plausible, more consistent and hence, more reliable maps exist. This causes the necessity to disclose the theoretical reflections on the problems of thematic and spatial delimitation of object classes and thus to stimulate the examination and development of geoscientific and ecological theories. stik-Programra-Systeme für die Sozialwissen schaften nach N.H. Nie und C.H. Hüll. Eine Beschreibung der Programm-Versionen 8 und 9, 4. Edition. 323 p. Stuttgart - New York, Gustav Fischer Verlag. Buchroithner, M.F. 1982. Die Satellitenbild karte der Hohen Tauern im Maßstab 1 : 200.000. In: MaB Map Volume "Hohe Tauern". Veröffentlichungen des österrei chischen MaB-Hochgebirgsprogramms Hohe Tauern, Volume 7, p. 7 - 9, 1 map enclosed. Innsbruck, Universitätsverlag Wagner. Cornelius, H.P. & E. Clar 1939. Geologie des Großglocknergebietes. 1. Teil. Abhandlun gen der Zweigstelle Wien der Reichsstelle für Bodenforschung, Volume 25, Issue 1, 1 map enclosed, Vienna. Gierloff-Emden H.G. 1982. Remote sensing for Coastal areas. Proc. IGARSS 1982, p . 1.1 - 1 . 8 . , Munich. Hafner, K. & H. Rätzsch 1985. Anwendungen des Programmpaketes Graz Terrain Model für Planung und Simulation, österr. Ingenieur- und Architekten-Zeitschrift 130, 5: 179 - 183. Hütter, R. 1986. Mass digitization - The old way. Experiences with a manual digi- tizing System. Proc. EUR0CART0 IV, Nachr. Karten- und Vermessungswesen, Ser. II, 44, p. 65 - 77 , Frankfurt/Main (IFAG) . Karrer, G. 1980. Die Vegetation im Einzugsge biet des Grantenbaches südwestlich des Hochtores (Hohe Tauern). In: Untersuchungen an alpinen Böden in den Hohen Tauern 1974 - 1978 Stoffdynamik und Wasserhaushalt. Ver öffentlichungen des österr. MaB-Hochgebirgs programms Hohe Tauern, Volume 3, p. 35 - 67, 1 map enclosed. Innsbruck, Universitätsver lag Wagner. Kaufmann, V. 1984. Entwicklung und Erprobung eines Verfahrens zur geometrischen Auswer tung von digitalen multispektralen Zellen abtasteraufnahmen und analog/digital-ge- wandelten Luftbildern. Diploma Thesis, University of Technology, Graz, 228 p. Müller, H.W. 1982. Erläuterungen zu den Bo denkarten Pasterzenvorfeld und Umgebung Wallackhaus - Hochtor 1 : 5.000. In: MaB- Kartenband "Hohe Tauern". Veröffentli chungen des österr. MaB-Hochgebirgspro- gramms Hohe Tauern, Volume 7, p. 23 - 28, 1 map enclosed. Innsbruck, Universitäts verlag Wagner. Neuwinger, I. (in prep.). ökologische Kenn zeichnung von Boden-Relief-Serien längs eines Höhengradienten im Gebiet des Tauernbaches am Großglockner (Hohe Tauern, österreichische Alpen). Veröffentlichungen des Österreichischen MaB-Programms "H.T.". Opp, Ch. 1984. Zur Entwicklung und Systema tisierung der Catena-Konzeption. Hercynia N.F. , 21 , 2:204 - 217. Pillewizer, W. 1982. Die Sonderkarten "Pasterzenvorfeld und Umgebung" 1 : 5.000 und "Wallackhaus - Hochtor" 1 : 5.000 des österr. MaB-Hochgebirgsprogramms Hohe Tauern. In: MaB-Kartenband "Hohe Tauern". Veröffentlichungen des Österreich MaB- Programms Hohe Tauern, Volume 7, p. 29 - 32, 1 map enclosed. Innsbruck, Universi tätsverlag Wagner. Ranzinger, M., W. Kainz & R. Hütter 1986 . DESB0D - A geographical information System. Final Report 1981 - 1985. Dibag Report, 19, 92p., Institute for Image Processing and Computer Graphics, Graz Research Center. Symposiur Digital ] for fore: Kuo-mu Ch National Taiwi ABSTRACT: The types classif the MSS data ■ vised/unsuper component tra: to standard c seven best bai and classifiei types classif: time and man-] combination wl cation accurai images and mi: 1 INTRODUCTIOt Resource surve an airborne mt the satellite scanner, which resolution, na scanning time, mapping than t vegetation typ The goal of length band co cation in fore that when work accuracy in cl all wavelength a marked incre frequently des utilizing only fication proce of wavenlength in the classif: 2 MATERIALS AN] 2.1 Data utili: The airborne mi study were col] with 11 channel mental Forest c Taiwan on Woven tape (CCT) cont was used in dat In order to p cover types cla niques were use protray spectra surface feature are principal c spatial filteri REFERENCES 2.2 Processing Beutel, P. & W. Schubö 1983. SPSS 9 Stati- The image proce

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