Russian Federation
Russian Federation
The article discusses the possibilities of using Big Data technologies in forest resource management to achieve sustainable development. The methods of data collection and processing (satellite monitoring, IoT sensors, machine learning) are analyzed, as well as their application to optimize logging logistics, predict wood demand, and calculate the carbon footprint. Using the example of global and regional cases (Global Forest Watch, the experience of the Russian Federation), the effectiveness of Big Data in solving environmental and economic problems is demonstrated. The key problems of implementation are discussed: data quality, staff shortage, high cost of infrastructure.
Big Data, sustainable forest management, logging, carbon footprint, machine learning, logistics optimization, satellite monitoring, climate change, IoT, forest ecosystems
1. Hansen, M. K. Global'nye karty izmeneniy lesnogo pokrova v XXI veke s vysokim razresheniem / M. K. Hansen [i dr.] // Science. – 2023. – T. 342, № 6160. – S. 850–853. DOI: https://doi.org/10.1126/science.1244693
2. Gupta, S. Mashinnoe obuchenie dlya prognozirovaniya lesnyh pozharov: sravnitel'noe issledovanie / S. Gupta [i dr.] // Distancionnoe zondirovanie (Remote Sensing). – 2021. – T. 13, № 8. – S. 1501.
3. Vulder, M. A. Tekuschee sostoyanie programmy Landsat, nauchnye issledovaniya i primenenie / M. A. Vulder [i dr.] // Distancionnoe zondirovanie okruzhayuschey sredy (Remote Sensing of Environment). – 2020. – T. 225. – S. 127–147.
4. Chen, Dzh. Sistema monitoringa v real'nom vremeni na osnove Interneta veschey dlya obnaruzheniya lesnyh vrediteley / Dzh. Chen [i dr.] // Datchiki (Sensors). – 2022. – T. 22, № 3. – S. 789.
5. Kinan, R. Dzh. Dinamika ploschadi lesov v mire: rezul'taty Global'noy ocenki lesnyh resursov FAO / R. Dzh. Kinan [i dr.] // Lesnaya ekologiya i upravlenie (Forest Ecology and Management). – 2021. – T. 352. – S. 9–20.
6. Nabuurs, G. Dzh. Klimaticheski optimizirovannoe lesnoe hozyaystvo: vliyanie na smyagchenie posledstviy izmeneniya klimata v treh evropeyskih regionah / G. Dzh. Nabuurs [i dr.] // Tehnicheskiy otchet EFI. – 2022. – № 101. – 45 s. DOI: https://doi.org/10.31166/VoprosyIstorii202204Statyi18
7. Saatchi, S. S. Vyyavlenie uyazvimosti vlazhnyh tropicheskih lesov k mnozhestvennym faktoram stressa / S. S. Saatchi [i dr.] // One Earth. – 2021. – T. 4, № 7. – S. 988–1003. DOI: https://doi.org/10.1016/j.oneear.2021.06.002; EDN: https://elibrary.ru/XBCZLY
8. Bettinger, P. Opyt planirovaniya i ekspluatacii lesov v epohu bol'shih dannyh / P. Bettinger [i dr.] // Sovremennye lesnye otchety (Current Forestry Reports). – 2020. – T. 3, № 4. – S. 269–280.
9. Tan, Dzh. Bol'shie dannye v upravlenii prirodnymi resursami: obzor / Dzh. Tan [i dr.] // Mezhdunarodnyy zhurnal geoinformacii ISPRS (ISPRS International Journal of Geo-Information). – 2020. – T. 9, № 10. – S. 575.
10. Fedorov, R. Cifrovizaciya lesnogo hozyaystva v Rossii: problemy i vozmozhnosti / R. Fedorov [i dr.] // Lesa (Forests). – 2022. – T. 13, № 5. – S. 732.
