Colorimetric Parameters Modeling of Test Micro-Ecosystems for Lands Pollution Remote Sensing
 
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Dept. of Radio-Electronic and Biomedical Computerized Means and Technologies, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
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Dept. of Geoinformation Technologies And Space Monitoring of the Earth, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
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Dept. of Public Authority аnd Entrepreneurship, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
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D. Serikbayev East Kazakhstan Technical University, Naberezhnaya Krasnykh Orlov 69, 070000, Ust-Kamenogorsk, Kazakhstan
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Dept. of Chemistry, Ecology and Technology Expertise, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
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Dept. of Electronics and Information Technology, Lublin Unversity of Technology, Nadbystrzycka 38a, 20-618 Lublin, Poland
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Institute of Information and Computational Technologies CS MES RK, Pushkina 125 Almaty, Kazakhstan
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Kazakh National Research Technical University named after K.I. Satpayev, Satpaev St 22a, Almaty 050000, Kazakhstan
CORRESPONDING AUTHOR
Saule Rakhmetullina   

D. Serikbayev East Kazakhstan Technical University, Naberezhnaya Krasnykh Orlov 69, 070000, Ust-Kamenogorsk, Kazakhstan
Publication date: 2021-02-01
 
J. Ecol. Eng. 2021; 22(2):161–168
 
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ABSTRACT
The paper describes a methodology of determining toxicity sources, using bioassay based on wildlife objects that change their colorimetric parameters under the influence of toxic factors. The work explores the character of the dynamism of colorimetric attributes associated with plant pigments. It can be determined by computer processing of the data obtained from digital remote sensing of lands affected by toxic pollution by such relatively low-cost and straightforward methods as digital photography from an aircraft or a drone. The results obtained do not allow direct measurements but rather serve as a basis for the development and characterization of new biomarkers.