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:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: 7 Human settlements: Urban surveys, human settlement analysis and archaeology. Chairman: W. G. Collins, Co-chairman: B. C. Forster, Liaison: P. Hofstee

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: The application of remote sensing to urban bird ecology. L. M. Baines & W. G. Collins

Document type:: Multivolume work

Structure type:: Chapter

KEY R - Residential areas I - Industrial S- Service W Water bodies — Canals Fig 1. Map of the land-use in the Blackbrook Valley 4 DATA EXTRACTION - THE CLASSIFICATION The photographic interpretation was based on a habitat classification devised for this project. Habitat mapping is well suited to remote sensing as an habitat unit has a larger surface area than individual species communities and therefore is more easily identified. The classification is divided into four groups: 1 land with no cover, 2 land with man-made cover, 3 land with water cover and 4 land with vegetation cover. In this paper only land with vegetation cover will be discussed. The vegetation categories are based on the structure and density of the dominant growth forms. The distinction between open and closed woodland and shrubland categories were dictated by the distance between foliage canopies (see Fosberg and Peterken 1967). 28 Tree cover +3m height 29 Broadleaf communities 30 Single tree 31 Closed woodland 32 Open woodland 33 Linear woodland 34 Woody shrub 35 Coniferous communities 36 Single tree 37 Closed woodland 38 Open woodand 39 Linear woodland 40 Woody shrub 41 Shrub cover -3m 42 Broadleaf communities 43 Closed shrub 44 Open shrub 45 Linear shrub 46 Coniferous, spikey communities 47 Closed shrub 48 Open shrub 49 Linear shrub 50 Herbaceous cover 51 Ruderal communities 52 Tall herb and fern communities 53 Rough tall grassland communities 54 Wetland herbaceous communities 55 Tall fragmentary marginal communities 56 Smooth turf grassland (unmanaged) 57 Smooth turf grassland (managed) 58 Rough turf grassland 59 Floating vegetation 60 Submerged vegetation. Figure 2. Classification categories Although the idea of an universal legend is attractive no standard classification exists for ecological or urban surveys therefore new legends need to be devised for individual projects to ensure the detail necessary is obtained. The vegetation communities identified by the N.C.C. were the basis of this habitat classification, allowances being made for the difference in the survey's resolution. The accuracy of the photographic interpretation and mapping was checked for 1981 and 1984. A pilot test had identified the categories which were frequently misc1assified for example bracken. Previously this had been an individual legend category, but due to interpretation difficulties it was included in the tall herb and fern category. The accuracy level achieved for the 1984 analysis was better than the 1981 figure. This was a result of the time period between the dates of the 1981 photographs and the field work, 1983. A good deal of development had taken place in the area in this period. The 1981 interpretation was 89.5% accurate and the 1984 interpretation was 97.6% correct. The statistical tests (see Ginevan 1979 and Arnold 1985) suggest the number of errors did not occur by chance. 5 DATA ANALYSIS In the literature, studies using air photographs to predict bird population numbers have not been very successful. Various researchers have concentrated on predicting bird species numbers, bird abundance and bird species diversity using variables measured in the field such as area of woodland, foliage height diversity, foliage canopy density and woodland isolation. It was decided to investigate if information about the variables used in these techniqi photogra bird cai conducte Har r i soi ornithol which we approxim This fie this ana One variable woodlanc suggeste and Moor studies linear 3 bird sf woodland CO LU O LU Cl tO LO O Hypot co W o LU 0. CO Li- CD O z ARI Spéci scali from FIG 3 The was the The area Hewlett micro coi The f: bird spe breeding nesting clas sif Fifty-s( woodlanc breeding These bi classifi

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