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Remote sensing for resources development and environmental management (Volume 1)

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Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

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:
Inventory of decline and mortality in spruce-fir forests of the eastern U.S. with CIR photos. W. M. Ciesla, C. W. Dull, L. R. McCreery & M. E. Mielke
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • Structural information of the landscape as ground truth for the interpretation of satellite imagery. M. Antrop
  • Interpretation of classification results of a multiple data set. Helmut Beissmann, Manfred F. Buchroithner
  • Digital processing of airborne MSS data for forest cover types classification. Kuo-mu Chiao, Yeong-kuan Chen & Hann-chin Shieh
  • Methods of contour-line processing of photographs for automated forest mapping. R. I. Elman
  • Detection of subpixel woody features in simulated SPOT imagery. Patricia G. Foschi
  • A GIS-based image processing system for agricultural purposes (GIPS/ALP) - A discussion on its concept. J. Jin King Liu
  • Image optimization versus classification - An application oriented comparison of different methods by use of Thematic Mapper data. Hermann Kaufmann & Berthold Pfeiffer
  • Thematic mapping and data analysis for resource management using the Stereo ZTS VM. Kurt H. Kreckel & George J. Jaynes
  • Comparison of classification results of original and preprocessed satellite data. Barbara Kugler & Rüdiger Tauch
  • Airphoto map control with Landsat - An alternative to the slotted templet method. W. D. Langeraar
  • New approach to semi-automatically generate digital elevation data by using a vidicon camera. C. C. Lin, A. J. Chen & D. C. Chern
  • Man-machine interactive classification technique for land cover mapping with TM imagery. Shunji Murai, Ryuji Matsuoka & Kazuyuli Motohashi
  • Space photomaps - Their compilation and peculiarities of geographical application. B. A. Novakovski
  • Processing of raw digital NOAA-AVHRR data for sea- and land applications. G. J. Prangsma & J. N. Roozekrans
  • Base map production from geocoded imagery. Dennis Ross Rose & Ian Laverty, Mark Sondheim
  • Per-field classification of a segmented SPOT simulated image. J. H. T. Stakenborg
  • Digital classification of forested areas using simulated TM- and SPOT- and Landsat 5/TM-data. H.- J. Stibig, M. Schardt
  • Classification of land features, using Landsat MSS data in a mountainous terrain. H. Taherkia & W. G. Collins
  • Thematic Mapping by Satellite - A new tool for planning and management. J. W. van den Brink & R. Beck, H. Rijks
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • 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
  • Cover

Full text

396 
6 U.S. VERSUS EUROPEAN APPROACHES TO FOREST DECLINE 
INVENTORIES 
Since the late 1970’s, a regional decline, affecting 
many tree species has also appeared in Europe. In 
recent years CIR aerial photos have also been widely 
used in West Germany (Hildebrandt 1985) and other 
European nations (Scherrer et al. 1981; Zirm et al. 
1985). 
To date, inventories of forest decline in the 
United States have emphasized detection and 
quantification of trees with "hard” damage symptoms 
such as tree mortality and top or branch dieback. 
Consequently, we have been able to use relatively 
small photo scales. The photo scale currently 
recommended for tree level data is 1:8000 but aerial 
photos of considerably smaller scales have also been 
used to delineate vegetation and mortality classes 
(Table 1). 
In West Germany, on the other hand, emphasis on 
forest damge inventories has been on assessment of 
the condition of living trees; therefore, the full 
range of symptoms associated with forest declines: 
loss of older foliage, subtop dieback, discolored 
foliage, are classified on aerial photos using a 
5-class rating system. Aerial photos of a larger 
scale are normally used to resolve these more subtle 
symptoms. The most commonly used photo scales are 
1:5000 and 1:6000 (Hildebrandt 1985). 
In the United States, forest damage inventories 
have been designed to provide data on numbers of 
trees, volumes, and basal area per unit area of land 
(per acre) by various damage or decline classes. 
This has necessitated interpretation and rating of 
all trees on an aerial photo plot of known size. In 
inventories conducted in West Germany, resultant 
data is most frequently represented in terms of the 
proportion of trees or area of given species in each 
damage class (Anon 1984). These data are obtained 
by rating a fixed number of trees in a series of 
cluster plots on aerial photo sample strips 
(Hildebrandt and Kadro 1984). 
Photo interpretation keys have been developed for 
large scale CIR photos in West Germany for 
identification of tree species, including spruce and 
fir, and rating damage (Grundmann 1984; Masumy 
1984). This approach is of interest in designing 
future inventories of forest decline in the eastern 
United States. We are presently developing photo 
interpretation guidelines for separation of spruce 
and fir on CIR photos and there are indications that 
the more subtle symptoms of decline can also be 
detected. If this approach can be applied to forest 
conditions in the United States we will undoubtedly 
also be using CIR aerial photos at scales in the 
range of 1:4000 to 1:6000. 
REFERENCES 
Adams, H.S., S.L. Stephenson, T.J. Biasing, and D.N. 
Duvick. 1985. Growth-trend declines of spruce and 
fir in mid-Appalachian subalpine forests. Environ 
mental and Experimental Botany 25(4):315-325. 
Anonymous. 1984b. 1984 forest damage survey. Press 
and Information Department, Federal Ministry of 
Food, Agriculture, and Forestry, Federal Republic 
of Germany. Mimeographed Report, 11 pp. plus tabs. 
desia, W.M., R.A. Allison, and F.P. Weber. 1962. 
Panoramic aerial photography in forest pest man 
agement. Photogrammetric Engineering and Remote 
Sensing 46:719-723. 
Fowells, H.A. 1965. Silvics of forest trees of the 
United States. USDA Forest Service Agr. Handbook 
271. 762 pp. 
Friedland, A.J., R.A. Gregory, L. Karenlampi, and 
A.H. Johnson. 1984. Winter damage to foliage as a 
factor in red spruce decline. Can. J. For. Res. 
14:963-965. 
Grundmann, 0. 1984. Zur Aufstellung von Interpreta- 
tionschliisseln ftir die Schadeinstufung von Fichte 
und Tanne in Infrarot-Farbbildern. Allgem. Forst 
Zeits.39(43/44):1093-1094. 
Hawksworth, F.G. and A.L. Shigo. 1980. Dwarfmistle- 
toe on red spruce in the White Mountains of New 
Hampshire. Plant Dis. 64:880-882. 
Hildebrandt, G. and A. Kadro. 1984. Aspects of 
countrywide inventory and monitoring of actual 
forest damages in Germany. Bildmessung und Luft 
bildwesen. 52:201-216. 
Hildebrandt, G. 1985. Waldschaden und ihre Erfas 
sung durch Fernerkundung. In Niesslein, E. and G. 
Voss. 1985. Was wir 'über das Waldsterben wissen. 
Cologne: Deutscher Institutes Verlag, pp. 97-111. 
Hopkins, A.D. 1899. Report on investigations to 
determine the cause of unhealthy conditions of 
spruce and pine from 1880-1893. West Virginia Agr. 
Exp. Sta. Bull. 56, 270 pp. 
Hopkins, A.D. 1901. Insect enemies of the spruce in 
the Northeast. USDA Bureau of Entomology Bull. 28, 
80 pp. 
Hornbeck, J.W. and R.B. Smith. 1985. Documentation 
of red spruce growth decline. Canad. J. Forest 
Res:15 1199-1201. 
Johnson, A.H. and T.G. Siccama. 1983. Acid deposi 
tion and forest decline. Env. Sei. and Tech. 17: 
294-305. 
Kucera, D.R., and R.G. Taylor. 1984. Spruce budworms 
situation in North America, 1983. USDA Forest 
Service and Env. Canada Canad. Forestry Service 
Misc. Pub. 1441, 27 pp. 
Lambert, H.L. and W.M. Ciesla. 1966. Status of the 
balsam woolly aphid in North Carolina and Tennes 
see - 1965. USDA Forest Service, Div. State and 
Pvt. Forestry, Asheville, NC, Rpt. 66-1-1, 12 pp. 
Little, E.L. 1971. Atlas of United States trees, 
V.l. Conifers and important hardwoods. USDA Misc. 
Pub. 1146. 
Masumy, S. 1984. Interpretationsschlüssel zur Aus 
wertung von Infrarot-Farbluftbildern f*ür die Wald 
schadensinventur. Allgem. Forst Zeits 39:1093- 
1094. 
Mielke, M.E., D.G. Soctomah, M.A. Marsden, and W.M. 
Ciesla. 1986. Decline and mortality of red spruce 
in West Virginia. USDA Forest Service, Forest Pest 
Management Methods Application Group, Fort Col 
lins, CO, Rpt. No. 86-4. 
Pyle, C., M.P. Schatale, and T.R. Wentworth. 1985. 
History of disturbance in spruce-fir forests of 
the SARRMC intensive study sites—Mt. Rogers 
National Recreation Area, Black Mountains and 
Great Smoky Mountains. SARRMC-Southern Appalachian 
Spruce-Fir Ecosystem Assessment Project, 67 pp. 
Scherrer, H.U., H. Fruhler, and Felix Mahrer. 1981. 
Ill-Alternative Verfahren für die Interpretation 
von Fohrenschaden (Pinus silvestris L.) auf mit 
tel masstablichen infrarot-Farbaufnahmen. Memoirs- 
Eidgenossischen Anstalt fur das Forsliche 
Versuchswesen, Birmensdorf, Switzerland 57:433- 
452. 
Siccama, T.G., M. Bliss, and H.W. Vogelmann. 1982. 
Decline of red spruce in the Green Mountains of 
Vermont. Bull. Torrey Botanical Club 109:162-168. 
Wear, J.F., R.B. Pope, and P.W. Orr. 1966. Aerial 
photographic techniques for estimating damage by 
insects in western forests. USDA Forest Service, 
Pacific Northwest Forest and Range Exp. Sta., 
Portland, OR, 79 pp. 
Weiss, M.J., L.R. McCreery, I. Millers, M. Miller- 
Weeks, and J.T. O'Brien. 1985. Cooperative survey 
of red spruce and balsam fir decline and mortality 
in New York, Vermont and New Hampshire - 1984. 
USDA Forest Service, Northeastern Area, NA-TP-11, 
53 pp. 
Zirm, K. et al. 1985. Erhebung der Vitalität des 
Waldes in Vorarlberg, (^sterieichisches Bundesins 
titut für Gesundheitwesen. Vienna, 80 pp. plus 
illus.
	        

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