Experience of Applying Remote Sensing Earth Data in Environmental Forensics
https://doi.org/10.30764/1819-2785-2019-14-1-56-65
Abstract
The opportunity of remote sensing Earth data application in performing of environmental forensics is contemplated. Using examples from expert practice, the progress of soil and vegetation mantle examination on the remote sensing materials is analyzed. It is demonstrated that existing methods of data interpretation enable the non-contact reconnaissance of environmental objects on an immense territory signifcantly reducing the time and expense of the expertise. With the help of this method an expert gets an opportunity to perform backcasting of landscape changes and the features of the modern image software make both visual and automated ways of analysis possible. The latest enables subjectivity elimination from interpretation of the images which is essential in getting reasonable expert conclusions.
About the Authors
S. Yu. RozovRussian Federation
Rozov Sergei Yur’ievich – Candidate of Biology, Senior State Forensic Expert of the Laboratory of Environmental Forensics, the Russian Federal Centre of Forensic Science of the Russian Ministry of Justice; Associate Professor of Soil Science Department, Lomonosov Moscow State University
Moscow 109028, Moscow 119991
N. D. Kutuzova
Russian Federation
Kutuzova Nina Dmitrievna – Candidate of Biology, Head of the Laboratory of Environmental Forensics
Moscow 109028
T. N. Bolysheva
Russian Federation
Bolysheva Tat’yana Nikolaevna – Candidate of Biology, Principal State Forensic Expert of the Laboratory of Environmental Forensics, the Russian Federal Centre of Forensic Science of the Russian Ministry of Justice; Associate Professor of Soil Science Department, Lomonosov Moscow State University
Moscow 109028, Moscow 119991
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Review
For citations:
Rozov S.Yu., Kutuzova N.D., Bolysheva T.N. Experience of Applying Remote Sensing Earth Data in Environmental Forensics. Theory and Practice of Forensic Science. 2019;14(1):56-65. (In Russ.) https://doi.org/10.30764/1819-2785-2019-14-1-56-65