Full text: XVIIIth Congress (Part B7)

ON WITHIN 
dirtseva 
le 
spacebome 
radionuclide 
ences plants 
be assessed 
to determine 
] vegetation. 
Yultispektrale 
nination des 
ntell wurde 
rnerkundung 
vertung der 
hängigkeiten 
Jetation und 
inges as wel 
ss conditions 
jply remotely 
lutions 
y metal sol 
of vegetation 
atellite image 
minated by 
ATION 
IRBORNE 
H DATA 
ted the „blue 
pectra due 0 
it areas. Thé 
crops in the 
ve), which a 
1erous heäV} 
metal sources (ie. coal mines, ore-dressing enterprises, 
lants, thermal power stations, chemical factories, highways 
etc ). 1350 samples of soil and plants were analyzed for their 
heavy metal content. Simultaneously from an altitude of 
150 m airborne high spectral resolution data were acquired 
by an airborne spectrometer ,Quartz' with the following 
parameters: 
- spectral range 410-770 nm 
- spectral resolution 1 nm 
- spectrum registration period 0.5 s 
- angle of viewing field of 0.05 rad 2 
- radiance range (0.16-52.08) 10" W/sr m". 
The results showed a similar 10 - 20 nm „blue shift“ for the 
red edge” in the reflectance spectra for wheat, corn, barley, 
alfalfa, and fodder grass under metal-induced stress 
conditions (Lyalko, 1992). A correlation was observed 
between the ,blue shift" value and aggregated heavy metal 
content in the plants. This correlation and spectral ratios 
(NIR/RED, RED/GREEN) allowed to map the Western 
Donbas area according to ist heavy metal pollution levels. 
These findings were proved by laboratory vegetation 
experiments with winter wheat, corn, and alfalfa. After the 
soluble compounds of Be, Zn and Sn had been added in 
increasing concentrations changes in spectral brightness and 
shape of wheat spectral function appeared. 
The vegetation experiments for corn and alfalfa were 
performed on substrata of different soil types (i.e. carbonate 
chernozem, leached chernozem, gray forest soil). 
Various amounts of Ni, Cr, Cd were added to the substrata 
which the plants grew on. During the process of plants 
growth measurements of the spectral reflectance factor at 
the 448, 530, 563, 620, 682, 747, 785, 885, 970 and 
1025 nm bands as well as of the chlorophylls a and b, the 
carotenoids, the bulk of green and air-dry amounts of the 
plants and their roots were performed. The results of the 
Study show a regular decrease of pigment contents 
(chlorophylls a, b, carotenoids) and green and air-dry weight 
of the roots under higher heavy metal concentration for 
chernozem soil (pH 7.5). Under low concentration of heavy 
metals in the substratum a slight stimulation of the plant 
growth was observed on acid gray forest soil (pH 5.5), where 
the migration of heavy metal compounds is higher and 
induces some increase of the pigments and phytomass 
amount. Under higher contents of heavy metals in gray 
forest soil substratum a decrease of pigments content, green 
amount of plants and their roots could be observed similar to 
that from the experiment with plants on chernozem soil 
Substrata. The spectrometric data obtained during the 
vegetation experiments with corn and alfalfa showed that 
spectral reflectance factor of plants increases in the spectral 
bands from 680 to 1025 nm. This supports the use of 
Spectrometric and multispectral remote sensing data for 
localization of heavy metal contaminated areas by 
measuring spectral features of vegetation cover. 
The obtained rules and facilities developed for data 
Processing of airborne spectrometric data have been used to 
determine the levels of heavy metal pollution in the northern 
part of the Ukraine in the hazardous zone of the Chernobyl 
Nuclear Power Plant. 
The program package applied was developed to determine 
the changes in vegetation reflectance spectra as a result of 
metal-induced stress. The package installed on IBM- 
Compatible PCs consists of programs performing 
computation of spectral brightness coefficients, spectral 
smoothing, first and second derivatives of spectral functions 
aswell as the | blue shift" value. 
455 
The results of processing remote sensing data were verified 
by ground truth data obtained on heavy metal polluted sites 
and by analysis of the pollutants composition from the 30 km 
Chernobyl zone towards Kiev. The spectral analysis data for 
950 samples of soils and plants growing on these soils 
allows the following conclusions about the pollution level to 
be made: 
- 75% of the soil samples investigated exeed the maximum 
permissible concentrations (MPC) of Cu (approved in the 
Ukraine) by more than 10 times, of Zn by more than 2-4 
times respectively 
- 50% of soil samples exceed the MPC of Ni by more than 
2-5 times 
- 1596 of soil samples exceed MPC of Pb and Mn by more 
than 2-3 times. 
Maximum permissible concentrations of other heavy metals 
in soils have not yet approved in the Ukraine. Therefore it is 
not possible to assess the pollution levels for many chemical 
elements which directly originated in the reactor and 
indirectly from emissions induced by the melted metal 
construction of the damaged reactor block. 
The MPC's for widespread agricultural crops in the Ukraine 
have been approved only for Pb, Cu and Zn. The vegetation 
cover of the test site exceeded the MPC's 
- of Pb by more than 2-5 times in 5096 of the crop samples 
- of Cu and Zn by more than 2-3 times in 896 of the crop 
samples. 
The critical content level of toxicant chemical elements, when 
crop yield decreases for more than 1096 was exceeded in 
- 5096 of the crop samples for Mn and in 
- 15-2096 of the crop samples for Ni, Ti, V and Cr. 
The results obtained show that the area of the Ukrainian 
Polissin have been exposed to pollution by a heavy metal 
complex after the Chernobyl accident. The character of the 
pollution and the level of toxic impact in combination with the 
radioactive contamination require studies and assessments. 
The use of remote sensing methods for the solution of these 
problems allows to coordinate and intensify long-term and 
extensive field studies required. 
3. ESTIMATION OF RADIONUCLIDE CONTAMINATION 
ON AREAS USING MULTISPECTRAL SPACE IMAGERY 
The use of multispectral remotely sensed data is based on a 
closed correlation between the environmental conditions and 
vegetation state. Growth and development of vegetation are 
connected with metabolism processes and depend on 
environmental conditions such as light, temperature, 
moisture, fertility of soil, and of course, on toxicants presence 
or absence. 
The spectral characteristics of plants, as shown in other 
publications (Vygodskny et al., 1987; Kronberg, 1988; Lyalko 
et al., 1992 and others) depend on the ability of foliage and 
neadles to reflect, absorb and transmit solar energy. 
The plots of spectral reflection for separated species and 
different vegetation communities have their own features in 
certian wavelengths both for maximum and for the shape of 
spectral reflectance curve (Krinov, 1947; Kronberg, 1988). 
The physiological stress of the plants leads to changes of 
their spectral characteristics in visible range, because 
chlorophyl reacts to each change of metabolism and 
degrades under unfavorable conditions. 
The radionuclides released during the Chernobyl disaster are 
also toxicants though the character of contamination caused 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996 
 
	        
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