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

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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:: [WP-3 FOREST INVENTORY APPLICATIONS]

Document type:: Multivolume work

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Chapter

Title:: FOREST MAPPING IN BAVARIA, USING SATELLITE IMAGERY AND INTEGRATING ADDITIONAL MAP INFORMATION: RESULTS IN THE THREE MAP SHEETS 1:200 000 REGENSBURG, NUREMBERG AND AUGSBURG. M. Keil, M. Schardt, A. Schurek, R. Winter, L. Ernesti, H. Sagischewski

Document type:: Multivolume work

Structure type:: Chapter

400 FOREST MAPPING IN BAVARIA, USING SATELLITE IMAGERY AND INTEGRATING ADDITIONAL MAP IN FORMATION: RESULTS IN THE THREE MAP SHEETS 1:200 000 REGENSBURG, NUREMBERG AND AUGSBURG M. Keil, M. Schardt, A. Schurek, R. Winter German Aerospace Research Establishment, Oberpfaffenhofen, FRG L. Ernesti Institute for Geography, University of Göttingen, FRG H. Sagischewski Institute for Geography, University of Marburg, FRG ABSTRACT A large-area forest mapping was carried out in Bavaria/FRG, based on Landsat Thematic mapper data. Besides the main classes - deciduous, coniferous, and mixed forest - , the separation of spruce and pine was included. In order to get reliable results for an additional class of unstocked forest areas and not yet closed cultures, information of topographic maps was integrated. This forest mapping will support conventional forms of large-area forest inventory and covers the three map sheets 1:200 000 of Regensburg, Nuremberg and Augsburg, each showing an area of about 90 km by 95 km. There are discussed the methods and results of forest/non-forest separation, signature analysis of training areas, classification, and verification. In order to take regio nal changes of reflection values because of influences of geological site conditions and atmospheric conditions into account, additional information of forest growth maps was integrated in the classification process. KEY WORDS: Forest Mapping, Landsat Thematic Mapper, Bavaria, Tree Species, Maximum Likelihood Classification, Verification 1 INTRODUCTION AND OBJECTIVE Forest mapping using satellite imagery within Bavaria was part of the research project 'Investigation and Mapping of Forest Disease Using Remote Sensing Methods', which the German Aerospace Research Establishment (DLR) carried out together with several forestry institutions. The main objective of the entire project was to evaluate multispectral digital data from aircraft scanners and satellite systems to study forest disease (Landauer, 1989 a, Land- auer and Vo£, 1989 b). The objective of the present project was a large-area forest mapping which was to cover large parts of Bavaria in a scale of 1:200 000. The classification by Landsat TM data was to include the main classes of coniferous, deciduous, and mixed forest, and, in addition, the discrimination of spruce and pine stands. On the one hand, the studies were meant to show the possibilities of satellite imagery for supporting conventional forms of large-area forest inventory. On the other hand, the studies were also to serve as a basis for future forest disease mapping. Regarding the long-term objective of using satellite imagery for large-area forest disease mapping, it is first of all necessary to register the influences of various forest stand para meters on spectral signatures over ex tended areas. Such stand parameters, like tree species distribution, types of mixtures, natural age classes, canopy density and ground cover were included in the investigation. 2 TEST SITES The Regensburg map sheet 1:200 000 was chosen as the first map for large-area mapping. The area represents a diversified geological structure which is expressed by the different growth zones and growth districts. The area includes extended stands of mixed deciduous and coniferous forest (esp. in the growth district 'Franconian Jura' on the Jurassic limestones) and also pine-rich stands (esp. on the sandy soils of the 'Upper Palatinate Basin') besides spruce as the main tree species (esp. in the 'Upper Palatinate Forest' and the 'Western Bavarian Forest'). Therefore the area was well situated for the investigation of stand type discrimination.

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