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Possibilities for obtaining objective quantitative remote assessments of forest damage

Savorsky V.P., Kotelnikov R.V., Bartalev S.A., Maklakov S.M., Panova O. Yu.

// Actual Problems of Remote Sensing of the Earth from Space, 2017. Vol. 14. No. 7. P. 136-152.

The  tasks  of  increasing  the  efficiency  of  remote  monitoring  data  use  for  assessing  the  damage  caused  to  forests  as a result of forest law violations are considered. For this purpose, we analyzed the problems of using satellite monitoring data in the course of special forensic forest technical expertise that arise in front of the supervisory authorities, as the main  target  consumers  of  the  solutions  being  developed.  As  a  result  of  the  analysis,  the  main  reasons  for  delays  in  conducting examination were found, as well as the reasons for the decrease in the accuracy of the assessments. It was found  out  that  it  is  fist  of  all  the  lack  of  automated  tools  that  allow  to  separate  (discriminate)  the  logging  areas  from  the  sites  which  contain  changes  of  the  natural  and  anthropogenic  nature  visualized  by  satellite  monitoring  process,  as well as irrelevant forest inventory data. Possible ways of treating these questions on the basis of analysis results are suggested. Also algorithms for the automated determination of the degree of damage caused to forest stands while illegal loggings are also proposed. It is important to emphasize that the methods are based on the approved state methodology for assessing damage to forest plantations as a result of violation of forest legislation while loggings. The possibilities of applying modern information technologies to solve identified problems are shown. We propose functional scheme of implementation of the elaborated methods of increasing the efficiency of using the satellite monitoring data to control compliance  with  forest  legislation  is.  We  also  present  proposals  for  the  modernization  of  procedures  for  assessing the size of damage by VEGA-Science services.

Full version URL: http://d33.infospace.ru/d33_conf/sb2017t7/136-152.pdf
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