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

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Title:: The use of SPOT simulation data in forestry mapping. S. J. Dury, W. G. Collins & P. D. Hedges

Document type:: Multivolume work

Structure type:: Chapter

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 425 The use of SPOT simulation data in forestry mapping S.J.Dury, W.G.Collins & P.D.Hedges Remote Sensing Unit, University of Aston, UK ABSTRACT: The composition of a forest is constantly changing, either by natural or man-made means. Satellite data may provide a cheaper and less time-consuming method of forest inventory and map-production compared with more traditional methods. The area of study is located within the Forest of Dean, Gloucestershire. Numerous digital enchancement techniques are applied to SPOT simulation imagery and visually assessed to give the best descrimination of the tree types within the forest. A maximum likelihood classification is then performed on a suitably enhanced image.This proves reasonably successful in distinguishing not only different species but also different age classes of certain species. A major source of error within the classification results from the high spectral variance of urban areas within the forest. Proposed methods of overcoming this problem are outlined. The digital format of the data facilitates integration into a geographical information system, be derived in assessing the operations. 1 INTRODUCTION This paper describes work investigating the potential usefulness of the SPOT satellite for providing data of use in forestry management. One of the most critical problems in forestry is the developing shortage of wood. Schery (1972) predicted a ten-fold increase in timber quantity demand by the year AD 2000, and even the vast forests of northern latitudes and of the tropics will be unable to meet these demands. In 1978 the Eighth World Forestry Congress stated that; "On present knowledge the tropical moist forest .... may cease to exist as usable forest in 40 to 50 years" (Grainger, 1980). The problems of shortening supply highlight the need for good inventory information. Our knowledge of the exact extent of the world's forest resources was described by Grainger as of cheap, repetitive inventory information: to monitor the decline of forested areas, to provide accurate estimates of current supply, and to monitor the effect of various management policies. Holmes (1980) argues that a steadily increasing proportion of the world's growing demand for wood will be provided by high-yielding, even-aged plantations. Such plantations can increase yields by 8-10 times the world average of approximately lm^/ha; whereas natural forests can be made to increase their yield only two or threefold, given sufficient inputs of capital, manpower and research. Plantations can also be developed on land that is relatively poor from the point of view of agricultural production. This would take the pressure off virgin tropical forest to supply commercial and non-commercial demands, and could ultimately change the world balance in favour of the supply side. from which further information may feasibility and impact of forest The Forest of Dean is an example of an intensively managed forest. The initial objectives of this study were to determine precisely what level of detail can be attained by interpretation of the SPOT simulation data. Previous work (Buchheim et al 1984) was unable to achieve discrimination to level III - species level - of the Anderson System (Anderson et al 1976). This study attempted to differentiate species not only to species level but for certain species to different age-levels. 2 METHODS AND MATERIALS 2.1 Study site The Forest of Dean is located in Gloucestershire. The area administered as the Forest of Dean by the Forestry Commission is around 11, 900 ha with 9,700 ha under productive crops. The Forest is characterized by a mosaic of small blocks of species and ages of woodland. The Forest of Dean was chosen since it contains a mixture of both broadleaved and coniferous trees, and good ground truth already exists in the form of Forestry Commission stock maps. The dominant species found in the forest are: Oak (Quercus robur), Douglas Fir (Pscudotsuga Menziesii), Norway Spruce (Picea abies), Corsican Pine (Pinus n v maritima), European Larch (Larix decidua), Japanese Larch (L Kaempferi), Hybrid Larch (L eurolepis), Scots Pine (Pinus Sylvestris) and Sweet Chestnut (Castanea sativa).

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