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:: Spruce budworm infestation detection using an airborne pushbroom scanner and Thematic Mapper data. H. Epp, R. Reed

Document type:: Multivolume work

Structure type:: Chapter

tural forest any 'mixed' endering any ianingless. requirement even-grained ssulting in js which are ch J.T and ise and land or use with Survey llesand, T.M 3 and Spruce :ion using t Simulation Lngs of the 3 Scottsdale entation of split and P.D.1986.The for forestry ation data. Symp. on ling for the India. the world's •gist Vol.10 )f even-aged to forestry Journal of is by space forest type ngs of the Processing :due Univ., -393. signatures il data for s mapping in and Remote L. 1981. es groupings ifications. mote Sensing t, G. 1984. ists using ion data, e Sensing 50 in. Prentice Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Spruce budworm infestation detection using an airborne pushbroom scanner and Thematic Mapper data H.Epp Canada Centre for Remote Sensing, Ottawa, Ontario R.Reed Saskatchewan Parks and Renewable Resources, Prince Albert, Canada ABSTRACT: Damage to white spruce stands in Saskatchewan by spruce budworm (Choristoneura fumiferana) has increased in the last three years. Due to dwindling wood supplies, loss of merchantable spruce and perhaps more importantly, regeneration, future spruce stands must be protected by limiting budworm spread. Forest managers, therefore require data of current year damage to softwood stands by spruce budworm larvae. Tradi tionally, federal and provincial forestry agencies conduct annual aerial sketch mapping suveys to record the extent and severity of damage to growth which gives the attacked trees a reddish-brown appearance. Useful information about the status of the spruce budworm is gathered but more reliable surveys related to individual stands could provide better timber forecasts. This paper reports on the results of a project undertaken to investigate the potential of high resolution MEIS-II pushbroom scanner and Thematic Mapper data for detecting current year spruce budworm infestation. In the summer of 1985 the Canada Centre for Remote Sensing and the Forest Inventory Section of Saskatchewan Parks and Renewable Resources assessed the capability of an airborne multispectral pushbroom scanner and Thematic Mapper data to detect current year spruce budworm damage. On July 4, 1985 data were acquired with an electro-optical pushbroom scanner of approximately 5 m resolution and 6 km swath width of a test site in east- central Saskatchewan. Thematic Mapper data of the same area were acquired on August 26, 1985 while independent infrared aerial photography was acquired on July 21, 1985 with a 240 mm mapping camera. From the aerial photography and natural colour images created from the pusbhroom scanner data it was possible to detect and identify areas of spruce budworm damage. One level of budworm infestation, with indications of a second level, was possible in some parts of the study area with the MEIS-II scanner. The lower resolution Thematic Mapper data was only able to identify the severely affected spruce budworm areas but there was confu sion with other vegetation types. The biowindow, where the foliage turns reddish-brown, is usually very short, lasting only four to eight weeks. It is, therefore, difficult to obtain cloudfree imagery of affected spruce budworm areas. Classifications performed on the MEIS-II and TM data indicate that only the real-time parallelipiped classi fier will give satisfactory results, but only in the drier areas. Other enhancements such as principal compo nent and Martin Taylor did not improve on the initial contrast stretched images. Spatial resolution was not a significant factor in determining which sensor could differentiate budworm infestation. The higher radiometric resolution with the higher signal-to-noise ratio in the MEIS-II sensor and the narrower band widths did make a significant improvement in budworm detection. The results of the study suggests the possibility of a spruce budworm infestation survey which could provide more accurate data of current year damage than those presently produced by aerial sketch mapping. Improved data could help program planning and assessment and ultimately improve wood supply. INTRODUCTION The current spruce budworm (Choristoneura fumiferana Clem.) epidemic although limited in extent, is the first significant occurrence in Saskatchewan, Canada, since 1968. The current epidemic began in 1982 when 2000 ha of white spruce (Picea glauca, Moench) were severely defoliated. This increased to 4800 ha in 1983. At the same time two new infestations resulted in moderate to severe defoliation of an estimated 7900 ha. As a result timber harvesting and salvage operations were stepped up in an attempt to reduce the infestation (Stanley and Reed, 1986). Infesta tion areas had increased to 8300 ha by 1985 (Table 1). Areas of infestation in Saskatchewan are small compared to eastern Canada where 189.9 million ha were affected in 1983 (Kucera and Taylor, 1984). This paper reports the results of a remote sensing project jointly undertaken by Saskatchewan Parks and Renewable Resources (SPRR) and the Canada Centre for Remote Sensing (CCRS). The goal of the study was to investigate the potential of the high resolution MEIS-II pushbroom scanner (McColl et al., 1984) and LANDSAT Thematic Mapper (TM) data for detecting current year spruce budworm infestation. Spruce budworm outbreaks cause growth loss and increased mortality, thereby reducing harvestable yields (McLean and Erdle, 1984). Because decisions Table 1. 1985 spruce budworm infestations in Saskatchewan (in ha). Location Light Moderate Heavy Severe Total Red Earth 1093.0 1802.3 1356.3 134.8 4386.4 Tall Pines 1114.8 726.9 753.6 475.4 3070.7 Tenant Lake 981.3 807.4 246.5 575.0 2610.2 Woody Tower 477.3 119.9 0.0 2.3 599.5 Total 3666.4 3456.5 2356.4 1187.5 10666.8 (after Stanley and Reed, 1986) and management plans on forest utilization are based on forecasts of forest development, it is important that known outbreaks of spruce budworm are mapped accurately. The Canadian Forestry Service and the Forest Inventory Section of Saskatchewan Parks and Renewable Resources monitor the activities of the spruce bud worm in Saskatchewan. The Canadian Forestry Service records the extent and severity of current year infestation by aerial sketch mapping surveys on the basis of 1 km units. This is carried out in July by which time damage to current year growth is quite evident. In 1985, personnel from the Forest Inventory

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