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

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Chapter

Title:: Digital classification of forested areas using simulated TM- and SPOT- and Landsat 5/TM-data. H.- J. Stibig, M. Schardt

Document type:: Multivolume work

Structure type:: Chapter

Tab. 3 Confusionmatrix SPOT - Simulation Deciduous Spruce Douglas fir II Douglas fir I Redoaks Sapling Culture Clearing Clearing Deciduous 95,7 - - 0,3 - 3,0 - - 0,5 Spruce - 93,0 5,6 - - - - - - Douglas fir II 5,2 1,7 86,2 6,9 - - - - - Douglas fir I - - 14,3 85,7 - - - - - Redoaks 6,7 - - - 93,3 - - - - Sapling 5,5 - - - - 81,3 13,2 - - Culture - - - " 2,0 6,1 83,7 - - Clearing - - - - - - - 100,0 - Clearing - - - - - - - 97,0 middle infra- ■ interpretation. [•TMS1 (blue) ared 2300 nm) nd its high »t used. : areas in the i presented in ! results of the ation of the d forest areas : forest of the a low correla- ! lowland-forest M scene from different for example in mulation, the : bands TM1 and already ex- Tab, 4 Confusionmatrix TM - Simulation Deciduous 1 Deciduous 2 Deciduous 3 Spruce Douglas fir II Douglas fir I Redoaks II S' c •H r-J a ni C/} Culture 2 Culture 1 Sapling 2 Clearing Deciduous 1 97,1 1 ,1 1 ,7 - - - - - - - " - Deciduous 2 - 95,8 3,4 - - 0,7 - - - - - - Deciduous 3 2,0 0,2 97,7 - - - - - - - - - Spruce - - - 100 - - - - - - - - Douglas fir II - - - - 100 - - - - - - Douglas fir I - - - - - 100 - - - - - - Redoaks II - " - - - - 99,6 - - - - - Sapling 1 - - - - - - - 81 ,5 5,2 - 12,4 0,7 Culture 2 - - 0,3 - - - - - 93,5 - 3,8 1 ,9 Culture 1 - - - - - - - - - 100 " - Sapling 2 - 4,8 - - - - - - 25,9 - 66,4 2,7 Clearing - - - - - - - - - - - 92,4 4.2 Signatureanalyse The differentiation between the classes listed in fig. 1 was permitted by an analysis of the signa tures of forest classes for the data set of the SPOT- simulation. Stands of spruce and young douglas firs have the lowest reflection values in the infrared spectral range. Clearings with minimal vegetation stand out clearly in SS1 and SS2. In SS3 stands of poplar can be clearly identified frcm mixed deci- duos stands and clearings with denser vegetation. However in order to seperate the last two the visi ble bands are necessary. Young plantations and red oaks have a high level of reflection in SS3 but they are easier to differentiate in SS1 (green). The possibilities of differentiation for the single classes is shown by the presentation of the bands SS1 and SS3 in two dimensional feature space (Fig. 2). In fig. 3 the forest signatures are shown as re flection curves for the data set of the TM-simulation, for which the object classes in two dimensional fea ture space are also presented in fig. 4. As was to be expected from the correlation tables, band IMS5 offered no further possibilities of differentiation in the data set presented here. On the whole the same possibilities of differentiation between classes are offered here as in the SPOT-simu- lation. In both data sets the seperation of deciduos forest into the following age classes is possible:

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