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:: Comparison of SPOT-simulated and Landsat 5 TM imagery in vegetation mapping. H. Tommervik

Document type:: Multivolume work

Structure type:: Chapter

:3) shows a good stands from the ea is marked with 0 m), clearcuts results in deline- and other very pes, were obtained with the first two ndsat MSS-imagery. study on SPOT-sim- st results of the obtained by using on techniques. I d channel combin- we can delineate vegetation cover within small areas, texture and patterns were better detected, due to the higher spatial resolution for the HRV-sensor compared to the TM-sensor. I will on basis of this study expect that the second generation and multilayer classification systems will improve the capability of satellite data to serve as a first stage in multistage land use and vegetation inventory and monitoring systems. 5.0 LITERATURE CITED Elven, R. & K.D. Vorren 1980. Flora and phytogeography of the Habafjell-Skrubben area of Central Troms, Northern Norway. Tromura, Naturv. 9: 1-64. Troms0, Norway Hame, T. 1984. Interpretation of deciduous trees and shrubs in conifer seedling stands from Landsat ima gery. XV Congress of the ISPRS, Commision VII, Pp 84-91. 1984. Jaakkola, S. 1985. Possibilities for using satellite imagery (including SPOT) in forest inventory and management. Seminar on the practical application of remote sensing in forestry. ECE - FAO - UN, May 1985. J0nk0ping, Sweden. Lannelongue, N.G. & G. Saint 1981. Radiometric appro ach. Sheet F2, Technical Appendix. SPOT Imagery Sim ulation. Dep. des Public, Paris, France. Reichert, G.C. & P.H. Crown 1984. Identification of Winther Wheat Using Landsat MSS Data. Can. J. Re mote Sensing 10 (2): 111-120. Sadowski, F. & J. Sarno 1976. Forest classification accuracy as influenced by multispectral scanner spatial resolution. NASA CR - ERIM 109600-71-F. Teillet, P.M., B. Quindon & D.G. Goodenough 1981. For est classification using simulated Landsat-D Thema tic Mapper data. Can. J. Remote Sensing / (1): Pp. 51-60. T0mmervik, H. 1985a. Rruk av fjernanalyse i vegeta- sjonskartlegging anvendt pa et omrade i Indre Troms, Nord-Norge. Cand.Scient. thesis. University of Troms0, Norway. 234 pp. T0mmervik, H. 1985b. Use of Landsat 5 TM Imagery in Detection of Mixed Spruce Seedling Stands in the Dividalen Area of Central Troms, Northern Norway. Seminar on the practical application of remote sen sing in forestry. ECE - FAO - UN. May 1985. J0nk0p- ing, Sweden. Landsat 5 TM and lution between sat 5 TM, new level and accuracy has shown that it on cover types Hoped, with an e, in spite of the re taken too early the autumn. In ication even went riation in eco- getation. ation based on ions was a very on of imagery. The ed by the TM-sen- of TM were useful ally for deline- ypes. sor and the simu- the two sensor- to detect and map a, due to the TM-sensor compa- sification of the getation units

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