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:: 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Experiences in application of multispectral scanner-data for forest damage inventory. A. Kadro & S. Kuntz

Document type:: Multivolume work

Structure type:: Chapter

470 Photo 1. Computer classification of a severely damaged spruce-fir stand near Bad Peterstal, 300 m altitude. For better presentation spruce was not divided in different damage classes. red: spruce green: fir healthy yellow: fir damaged blue: fir severely damaged orange: aeciduos trees white: roads, glades black: shadow Photo 2. Digital crown map for checking the classi fication. Same colours like Picture 1 only violett: spruce damaged red: spruce severely damaged Picture 1. Results of forest damage classification using ground check, CIR-Photointerpretation and multispectral scanner data frcm different altitudes □ S0/S1 healthy 52 damaged 53 severely damaged In table 4 examples of the analysis of a classifica tion are given for differently damaged firs. Table 3. Classification of forest damage classes used throughout Germany SO-1 52 53 54 less than 25% needleloss 26 to 60% needleloss more than 60% needleloss dead (healthy - sickly) (damaged) (severe damaged) Table 4. Example for differently damaged firs (tree #1 to #3 damage class S2, tree #4 to #6 darhage class S3). Results are given in percent of classified pixels per tree crown. Stand A Stand B tree SO-1 S2 S3 misclassi- average damage 100 number fied class rating 1 60 23 17 0 1,5 90 2 57 23 16 4 1,8 80 3 44 19 16 21 1,6 4 18 19 39 24 2,3 c 70 5 23 24 37 16 2,1 8 60 6 26 31 23 20 2,0 From this altitude a damaged tree crown contains up to 100 pixels which can belong to any given damage class. For example a fir with approximately 50% needleloss will be classified as healthy in the top of the crown where it seems to be green and healthy, the lower branches which show some needleloss and discoloration, will be classified as sick and the part of the crown which is defoliated, will be classified as severely damaged or dead. The degree of misclassi- fied pixels will also increase with the damage degree because more shadow, soil or ground vegetation re flects through the defoliated crown and increases the mixed signatures. The situation is the same when other species are evaluated. £ 20 m i i Stand A: Old spruce stand mixed with fir; severely damaged with low density Stand B: Old spruce stand severly damaged and partly snow breakage Stand C: Young spruce stand with snow breakage Stand D: Yeung spruce stand

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