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:: 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: The conception of a project investigating the spectral reflectivity of plant targets using high spectral resolution and manifold repetitions. F. Boochs

Document type:: Multivolume work

Structure type:: Chapter

201 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 The conception of a project investigating the spectral reflectivity of plant targets using high spectral resolution and manifold repetitions F.Boochs Institute for Photogmmmetry, University of Bom, FR Germany ABSTRACT: The conception of a project will be shows which investigates the spectral reflectivity of winter wheat and sugar beets. The collected narrow band spectral information will be correlated with several agronomic variables decribing the biologic and morphologic situation of the plants. Additionally great effort will be taken for compensation of exterior influences generally reducing the information content of the spectral data. The aim of the project is to provide more knowledge about the interaction between radiation and plants to facilitate and improve the forecats of yield prediction. INTRODUCTION In the past the availability of remotes sensing data mostly collected by satellite sensors has led to an increasing number of research projects covering a broad spectrum of different topics. These investigations handle problems of land use and its variation, environmental questions like air, water and soil pollution, special research on the signature of targets like soil, vegetation or artifi cial surface components, the inventory of forest damages, thermal mapping and plant yield estimation for example. In many cases spectral data from satel lite sensors serves as basic information for the interpretational steps or other examination proce dures. For some purposes airborne sensors are used, just as special equipments for ground truth measurements. The latter often is very helpful for basic investigations on the reflectivity on selected targets, because it is possible to provide a lot more and less disturbed spectral information. This extensive and more accu rate data is useful to understand the interaction between radiation and target matter. The knowledge of the reflection process of the inco ming radiation at the invested targets is one essen tial precondition for a succesful examination of remotely sensed data. Unfortunately the interaction of radiation and target is very complex and can't be described by some simple rules. Additionally there are existing a lot of disturbing influences affecting the measurements. Therefore most applications using remotely sensed spectral data are based on statisti cal procedures, working with empirically determined relationships between data and target characte ristics, what leads to a decreasing accuracy of the interpretation steps. To avoid empirically oriented interpretation proce dures some more knowledge on the interactions at the targets and the influencing factors is necessary. 1 THE REFLECTIVITY OF PLANT TARGETS For agricultural purposes the measurement of the reflection of plant targets is of great interest and importance. A lot of investigations have been started to discriminate different plant species, to evaluate plant diseases or to estimate the plant production by means of spectral data from satellite sensors. The spectral data is mostly collected in few narrow spec tral bands ranging from the visible to the middle infrared region of the electromagnetic spectrum. This part of the spectrum is very useful for investi gations at the vegetation, because plants there show some typical reflection characteristics /Bunnik 1978, 1983, Sanwald 1979, Bauer et al. 1980, Boehnel et al. 1980, Kadro 1980, Goel.Thompson, 1983/. These reflection characteristics have been compared to parameters describing the plant target or the plants themselves like ground cover, leaf area index, plant height, water content, dry and wet biomass, pigment content, cell-wall constituents and the in ternal structure of leaves, for example. For some of these factors correlations with the spectral signa ture could be found. But the significance of the correlations varied with the experiments and never reproduced that high value found for some measure ments under laboratory conditions /de Carolis, Amadeo 1980/. This might be due to the fact that investigations based on spaceborne sensor data can't take all para meters into account and, in addition, the characte ristic of the reflected radiation is reduced on the way from the target to the collecting sensor. There also are some exterior parameters like azimu thal and zenithal illumination conditions, target geometry and the special atmospheric situation which may have dominant influence on the reflection mea surements /Vanderbilt et al. 1980, Guyot 1980, 1983a, 1983b, Lord, et al., 1983/. Therefore the aim of plant yield estimationm led in the past only under

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