Mination of
| brightness
S of several
relation is
| the Strong
System for
dionuclides
jhtness in
] ofa
ra MK-4 on
13.57) for
t site
nation by
infrared
tellite
7)
These plots enable to generate the prediction scheme of
Cs-137 soil contamination by means of multispectral
spaceborne remote sensing data (Figure 2). The scheme
includes the south-eastern part of the 30 km dangerous
zone and adjacent regions. This scheme shows well that
the greatest maximum of contamination with regard to
area and intensity is located within the nuclear power
plant zone. Besides this, a number of maxima with lower
intensity and smaller areas are indicated.
Described previously by other authors, the rules noted of
spatial radionuclide distribution in soil observed in the
prediction pattern, reflect the real distribution of
radionuclides in soil.
Thus, the investigations carried out showed that
multispectral spaceborne remote sensing data can be
useful for the estimation of radionuclides contamination
in soil and vegetation.
The method offered, unlike the physical-chemical
analysis, estimates above all the degree of radioactive
influence on vegetation and allows therefore to discover
large areas of spreaded healthy vegetation and such
affected by toxicants. Conventional methods are unable
to prove this.
The use of multispectral space images is more efficient
under current conditions and allows to check the
ecological state of large areas in each time interval as
required.
4. CONCLUSIONS
The research of natural conditions using remote sensing
and ground truth methods shows the necessity to apply
multispectral spaceborne remote sensing data for large
scale ecological investigations.
A complex of methods was developed for the
determination of correlations between spectral brightness
and radionuclides, heavy metals and other toxicants in
soils and vegitation.
Based on remote sensing data the use of the
dependencies determined allows to create a scheme of
the test area contamination by radionuclides.
The method offered could be an effective component of a
complex ecological monitoring consisting of the following
three main parts:
* remote sensing with ground truth
* data handling by GIS technology
* modelling natural processes for operational prediction
and management (Lyalko, Marek et al., 1995b)
The problems of using remote sensing data for creating
geosystem models are still insufficiently developed and
Will require further investigations.
ACKNOWLEDGEMENT
The research project has been sponsored by the
German Space Agency (DARA).
459
REFERENCES
Chernobyl Disaster. 1995. Naukova Dumca Press, Kyiv,
560 p. (in Russian).
Chernobyl-96. Results of the 10-year's Works of Disaster
After-Effect Elimination in the Chernobyl Nuclear Power
Plant. 1996. Proceedings of the 5-th International
Science-Technique Conference. Zelenyi Mys, Ukraine,
526 p.
Chang S. N., Collins W., 1983a. Confirmation of Airborne
Biophysical Mineral Exploration Technique Using
Laboratory Methods. pp. 723-736
Goetz A. F., Book B. N., Rowan L. C., 1983b. Remote
Sensing for Exploration Econ. Geol., 78(4), pp. 573-590.
Grodzinsky D. M., Kolomiets K. D., Kutlakhmedov.
Yu. A. et al., 1991, Anthropogenic Radionuclide Anomaly
and the Plants (Kiev: Lybid). (In Russian).
Jain A. K., Gimel'farb G. L., 1995. Retrieving Textured
Images from an Image Data Base, Proc. Sth
Scandinavian Conf. on Image Analysis, June 6-9,
Uppsala, Sweden. Uppsala: SSAIA, vol 1, pp. 441-448
Kronberg, 1982, Remote studyind of the Earth. Principles
and Methods of Remote Sensing in Geology (Moscow;
Mir). (In Russian, translation from German)
Krynov E. L., 1947, Spectral Reflectivity for the Natural
Objects, (Moscow: AN USSR Press) (In Russian).
Lyalko V. |., Woolfson L. |., Djary V. Yu. et al. 1992.
Aerospace Methods in Geoecology. Naukova Dumca
Press, Kiev, 205 p. (In Russian).
Lyalko V.L. et al, 1994. Remote Sensing Monitoring
Plant Vegetation and Soil Radioactive Contamination by
the Aerosol Transfer on Radioactive Nuclides Expending
the Influence of Chernobyl Accidont Zone. In:
Proceedings of the 1-st Airborne Remote Sensing
Conference and Exhibition. Strasbourg, France, pp. 657-
662.
Lyalko V.1. Sakhatsky A. 1, Marek K-H., Oppitz S.,
1995a. Application of the GIS ,TRIAS“ for Remote
Ecological Monitoring within the Chernobyl Disaster
Zone. In: Proceedings of the Workshop on Pollution
Monitoring and GIS. Brandys nad Labem, 15-18 May
1995, Czech Republic.
Lyalko V. I., Sakhatsky A. |., Hodorovsky A. Ya., Filippov
Yu. F., Woolfson L. D., Marek K.-H., Oppitz S., 1995b.
Geosystem Energy-Mass Exchange Modelling for
Ecological Monitoring by Use of Remote Sensing Data.
In: Proceedings of the 15-th EARSeL Symposium, Basel,
4 - 6 September 1995, Switzerland.
Lyalko V. |., Sakhatsky A. |., Hodorovsky A. J., Shportjuk
Z.M., Sibirtseva O. N. 1996, Image Processing for
Ecological Monitoring of Environment in the Area of
Chernobyl Disaster Influence. Proceedings of the
Eleventh Thematic Conference and Workshop on Applied
Geology and Remote Sensing. Las Vegas, Nevada, 27-
29 February 1996.
Milton N. M., Collins W., Chang S. N., 1983c. Remote
Detection of Metal Anomalies on Pilot Mountain, Randolf
Country, North Carolina. Econ. Geol., 78(4), pp. 605-617
Vygodskaya N. N., Gorshkova l.l., 1987, Theory and
Experiment in Remote Sensing of Vegetation.
(Leningrad: Hydrometeo Press). (In Russian).
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996
