Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

Bibliographic data

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:: 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Structural information of the landscape as ground truth for the interpretation of satellite imagery. M. Antrop

Document type:: Multivolume work

Structure type:: Chapter

3 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Structural information of the landscape as ground truth for the interpretation of satellite imagery M.Antrop State University of Ghent, Belgium ABSTRACT : The possibilities for a detailed and accurate land use interpretation using satellite imagery, depend for a great part upon the landscape structure. The selection of the training sites for image classifi cation should follow a stratified scheme based upon a landscape classification which uses structural indica tors. An analysis is made of the landscapes of Flanders based upon such indicators. An estimation of the occurence of pure pixels (TM size) for different landscape components and types is given, as well as the compactness of the field shapes and their orientation in relation to the pixel size and scan direction. RESUME : Les possibilités pour une interprétation détaillée et accurate de l'utilisation du sol sur des images satellites, dépendent en grande partie de la structure du paysage même. Les sites pour l'élaboration des clefs d'interprétation devrait être sélectionnés à partir d'une classification du paysage, basée sur des indicateurs structurels. Un exemple d'une pareille analyse est donné pour les paysages de Flandre. Un estimation est faite de la nroportion des pixels purs (TM) pour différentes composantes du paysage, ainsi qu'une analyse de la forme et de l'orientation des champs en relations avec la taille du pixel et la direction du balavage. 1. INTRODUCTION It is a basic knowledge in classical airphoto-inter pretation that an interpretation key has a restricted validity. It remains valid and guarantees a tested accuracy for a given application only for one set of photographs (with a constant scale, emulsion and season) and for one reoion which can be considered as homogenous with resnect to geographical and eco logical relations. Large study areas show a great environmental diversity and there it becomes neces sary to differentiate the interpretation key on the basis of the geographical structure of the terrain observed. A first and fast assessment of this can be achieved by a photomorphic image analysis, which ma kes a holistic approach of the landscape information contained in the image. In fact, it can be conside red as a natural way of an unsupervised visual image classification. The influence of the geographical diversity of the environment on the interpretation of an image beco mes even more important for orbital remote sensing because very vast regions are observed. Consequente- ly, the decree of detail and the accuracy by which thematic information can be extracted from satellite imagery - and thus the economic rentability -, does not depend only upon the characteristics of the remote system used. From the technical point of view, spatial, spectral and temporal resolution of the system can still be improved, as well as tech niques for image processing and enhancement. From the methodological point of view, the interpretaion accuracy depends upon the selection of the training areas, the classifier used and how successfelthe extrapolation of this local knowledge can be achie ved for the whole area of interest. Crucial for this are the variations of the spatial, spectral and temporal characteristics of the terrain itself. As F.Henderson (1980) put it very clearly : the omnipotent role of the environment. In most parts of Western Europe, we have to deal with complex and fine structured landscapes, charac terized by important human pressures. Even the power ful ground resolution of second generation sensors as TM of Landsat and HRV of SPOT, remain rather coarse for thematic inventorization and is, for small areas, still not competitive to classical ground methods. Therefore, a geographical landscape classification may be helpful to give a regional and structural ba sis for a stratified samp! ing of the training areas and a more intelligent extrapoation of the results obtained there. 2. BASIC CONCEPTS Landscapes should be considered as holistic phenomena which continuously change on the 3 dimensional space of the earths surface. They reflect the efforts made by man through history to adapt, shape and organize the natural environment to its cultural needs. Consequentely, landscapes do not vary by the natural conditions of the environment alone, but also by cultural zones. Generally spoken, cultural factors determine more the regional variation then the na tural ones in areas with a high human pressure (high population density, high technological level and a long history). Landscape studies make the distinction between landscape elements, components and structures. This is mainly based upon their spatial and topolo gical characteristics. Each of them is described using attributes which can have different levels of measurement. Landscape elements are discrete objects (houses, single trees, fields, etc.) of relative small size and consequentely they are characterized by high spatial frequencies. Landscape components (relief, microclimate, etc...) change continuously and gradually through space. They may remain almost constant within some areas which can be small or large and which are called landfacets according the already classical system of landclassification (Howard J. 5 Mitchell C., 1980 ; Webster R. & Beckett P., 1970 ; Mabbutt J., 1968). Their spatial frequency is lower then for landscape elements, but may vary a lot. Landscape structures (fieldpatterns, road networks, relief- and dratnagepatterns, etc.) are spatial arrangements of landscape elements and landfacets and can be described by typological parameters as density, connectivity, orientation , and so'on.On small scale maps, zones wth a similar and a constant structure are delineated by immate rial boundaries to form the high order landunits in the hierarchical landclassification systems (landsy- stem, -region, -province and -division) .

Access restriction

Copyright

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

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation