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Monitoring of forest resources condition based on the remote sensing data of the Earth by means of GIS

Remote Sensing & GIS for Environmental Monitoring

Authors

First and Last Name Academic degree E-mail Affiliation
Arkadii Siedov No shakhmet1985 [at] gmail.com State Biotechnological University
Kharkiv, Ukraine
Natalia Stoiko Ph.D. n_stoiko [at] ukr.net Lviv National Environmental University
Lviv, Ukraine
Svitlana Smyrnova Ph.D. svitlanasmyrnova7 [at] gmail.com State Biotechnological University
Kharkiv, Ukraine
Anna Fedorova No an_fedorova [at] gmail.com State Biotechnological University
Kharkiv, Ukraine
Vladyslava Prokopenko No vlada28prokopenko [at] gmail.com State Biotechnological University
Kharkiv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 20.08.2023 - 11:22
Abstract 

Modern approaches to monitoring the state of forest resources based on the remote sensing data of the Earth by means of geo-information technologies are considered. The main methods of remote research of forest resources are presented, and the importance of using RSD in combination with GI- technologies are argued. The advantages and disadvantages of using different software to perform the tasks are given.

Keywords 
monitoring
Remote Sensing
geographic information systems
forest resources
References 

Anysenko O. Development of remote sensing in Ukraine (2017). Agrossvit 7: 52-59.  URL: http://www.agrosvit.info/pdf/7_2017/10.pdf

 

Dombrovska O., Hoptsii D., Kulbaka O., Siedov A., Surkova V. (2022).  Modern capabilities of  obtaining remote sensing data as an integral tool for maintaining industry cadastres. International Conference of Young Professionals, GeoTerrace 2022. URL: https://eage.in.ua/wp-content/uploads/2022/09/Geoterrace-2022-063.pdf

 

Melnik A., Yachniuk M. Application of geoinformation technologies for observation of the forest cover (2022). Scientific Bulletin of Kherson State University 16: 32-39.  URL: http://ekhsuir.kspu.edu/bitstream/handle/123456789/17247/9.pdf?sequence=...

 

Planet Labs Inc. Planet Labs Inc. Planet Imagery Product Specifications, (2022). URL: https://assets.planet.com/docs/Planet_Combined_Imagery_Product_Specs_letter_screen.pdf.

 

Sentinel-hub. EO-Browser. (2023). URL: https://www.sentinel-hub.com

 

Shumilo, L., Yailymov, B., Lavreniuk, M., & Bilokonska, Y. (2020). Remote Sensing Approaches for Deforestation Identification in Ukraine. IEEE 5th International Symposium on Smart and Wireless Systems Within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS). DOI:10.1109/idaacs-sws50031.2020.9297054