Аннотация и ключевые слова
Аннотация (русский):
В данном исследовании рассматриваются основные проблемы, возникающие при разработке программных решений на базе искусственного интеллекта (ИИ) для управления лесными ресурсами в Китае с акцентом на два экологически и экономически различных региона — провинции Хэйлунцзян и Фуцзянь. Результаты показывают, что ограниченность данных, сложность окружающей среды и региональные различия в климате и типах лесов затрудняют внедрение ИИ. Сравнение провинций по этим показателям демонстрирует, как местные факторы влияют на эффективность и проектирование ИИ-систем.

Ключевые слова:
управление лесными ресурсами; провинция Хэйлунцзян; провинция Фуцзянь; искусственный интеллект (ИИ); климатические и экологические вызовы; обнаружение лесных пожаров; мониторинг биоразнообразия.
Список литературы

1. China – Forest Monitoring Dashboard // Global Forest Watch. – URL: https://www.globalforestwatch.org/dashboards/country/CHN/ (accessed: 31.05.2025).

2. Weather in Heilongjiang // ChinaDiscover.net. – URL: http://www.chinadiscover.net/heilongjiang-tourism/heilongjiang-weather.htm (accessed: 31.05.2025).

3. Climate of Harbin, China // Weather Atlas. – URL: https://www.weather-atlas.com/en/china/harbin-climate (accessed: 31.05.2025).

4. Heilongjiang // Encyclopaedia Britannica. – URL: https://www.britannica.com/place/Heilongjiang (accessed: 31.05.2025).

5. Average Weather in Fuzhou, China – Year Round // WeatherSpark. – URL: https://weatherspark.com/y/133373/Average-Weather-in-Fuzhou-China-Year-Round (accessed: 31.05.2025).

6. Average Weather in Longyan, China – Year Round // WeatherSpark. – URL: https://weatherspark.com/y/131370/Average-Weather-in-Longyan-China-Year-Round (accessed: 31.05.2025).

7. Fujian // Encyclopaedia Britannica. – URL: https://www.britannica.com/place/Fujian (accessed: 31.05.2025).

8. Ting Y., Li J., Ma L., Zhou J., Wang R., Eichhorn M. P., Zhang H. Status, advancements and prospects of deep learning methods applied in forest studies // International Journal of Applied Earth Observation and Geoinformation. – 2024. – Vol. 131. – Article 103938. – URL: https://doi.org/10.1016/j.jag.2024.103938 (accessed: 31.05.2025).

9. Jiao Q., Fan M., Tao J., Wang W., Liu D., Wang P. Forest fire patterns and lightning-caused forest fire detection in Heilongjiang Province of China using satellite data // Fire. – 2023. – Vol. 6. – Article 166. – URL: https://doi.org/10.3390/fire6040166 (accessed: 31.05.2025).

10. Cheng G., Chen X., Wang C., Li X., Xian B., Yu H. Visual fire detection using deep learning: A survey // Neurocomputing. – 2024. – Vol. 596. – Article 127975. – URL: https://doi.org/10.1016/j.neucom.2024.127975 (accessed: 31.05.2025).

11. Wu Z., Li M., Wang B., Quan Y., Liu J. Using Artificial Intelligence to Estimate the Probability of Forest Fires in Heilongjiang, Northeast China // Remote Sensing. – 2021. – Vol. 13, Article 1813. – URL: https://doi.org/10.3390/rs13091813 (accessed: 31.05.2025).

12. Yu Z., Zhang M., Zhan Y., Guo Y., Zhang Y., Liang X., Wang C., Fan Y., Shan M., Guo H., Zhou W. Analysis of Temporal and Spatial Evolution Characteristics and Peak Predic tion of Carbon Emissions in China Under the Dual-Carbon Target: A Case Study of Heilongjiang Province // Agriculture. – 2025. – Vol. 15, Article 1126. – URL: https://doi.org/10.3390/agriculture15111126 (accessed: 31.05.2025).

13. AI-powered biodiversity monitoring in forest ecosystems // PRISM – Sustainability Directory. – URL: https://prism.sustainability-directory.com/scenario/ai-powered-biodiversity-monitoring-in-forest-ecosystems/ (accessed: 31.05.2025).

14. Wang W., Zhai D., Huang B. Implementation gaps affecting the quality of biodiversity conservation management: An ethnographic study of protected areas in Fujian Province, China // Forest Policy and Economics. – 2023. – Vol. 152. – Article 102933. – URL: https://doi.org/10.1016/j.forpol.2023.102933 (accessed: 31.05.2025).

15. ZHUART: Pioneering Innovation to Drive Bamboo Industry Growth // ZhuArt Bamboo. – URL: https://zhuartbamboo.com/zhuart-pioneering-innovation-to-drive-bamboo-industry-growth/ (accessed: 31.05.2025).

16. Qi S., Song B., Liu C., Gong P., Luo J., Zhang M., Xiong T. Bamboo Forest Mapping in China Using the Dense Landsat 8 Image Archive and Google Earth Engine // Remote Sensing. – 2022. – Vol. 14, Article 762. – URL: https://doi.org/10.3390/rs14030762 (accessed: 31.05.2025).

17. He A., Xu Z., Li Y., Li B., Huang X., Zhang H., Guo X., Li Z. Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV hyperspectral images // Geo-spatial Information Science. – 2025. – Published online: 04.02.2025. – URL: https://doi.org/10.1080/10095020.2025.2454521 (accessed: 31.05.2025).

18. Chinese scientists use laser drones to count the country’s trees — all 142.6 billion of them // Live Science. – URL: https://www.livescience.com/planet-earth/plants/chinese-scientists-use-laser-drones-to-count-the-countrys-trees-all-142-6-billion-of-them (accessed: 31.05.2025).

19. China – Forest Monitoring Dashboard // Global Forest Watch. – URL: https://www.globalforestwatch.org/dashboards/country/CHN/ (accessed: 31.05.2025).

20. Weather in Heilongjiang // ChinaDiscover.net. – URL: http://www.chinadiscover.net/heilongjiang-tourism/heilongjiang-weather.htm (accessed: 31.05.2025).

21. Climate of Harbin, China // Weather Atlas. – URL: https://www.weather-atlas.com/en/china/harbin-climate (accessed: 31.05.2025).

22. Heilongjiang // Encyclopaedia Britannica. – URL: https://www.britannica.com/place/Heilongjiang (accessed: 31.05.2025).

23. Average Weather in Fuzhou, China – Year Round // WeatherSpark. – URL: https://weatherspark.com/y/133373/Average-Weather-in-Fuzhou-China-Year-Round (accessed: 31.05.2025).

24. Average Weather in Longyan, China – Year Round // WeatherSpark. – URL: https://weatherspark.com/y/131370/Average-Weather-in-Longyan-China-Year-Round (accessed: 31.05.2025).

25. Fujian // Encyclopaedia Britannica. – URL: https://www.britannica.com/place/Fujian (accessed: 31.05.2025).

26. Ting Y., Li J., Ma L., Zhou J., Wang R., Eichhorn M. P., Zhang H. Status, advancements and prospects of deep learning methods applied in forest studies // International Journal of Applied Earth Observation and Geoinformation. – 2024. – Vol. 131. – Article 103938. – URL: https://doi.org/10.1016/j.jag.2024.103938 (accessed: 31.05.2025).

27. Jiao Q., Fan M., Tao J., Wang W., Liu D., Wang P. Forest fire patterns and lightning-caused forest fire detection in Heilongjiang Province of China using satellite data // Fire. – 2023. – Vol. 6. – Article 166. – URL: https://doi.org/10.3390/fire6040166 (accessed: 31.05.2025).

28. Cheng G., Chen X., Wang C., Li X., Xian B., Yu H. Visual fire detection using deep learning: A survey // Neurocomputing. – 2024. – Vol. 596. – Article 127975. – URL: https://doi.org/10.1016/j.neucom.2024.127975 (accessed: 31.05.2025).

29. Wu Z., Li M., Wang B., Quan Y., Liu J. Using Artificial Intelligence to Estimate the Probability of Forest Fires in Heilongjiang, Northeast China // Remote Sensing. – 2021. – Vol. 13, Article 1813. – URL: https://doi.org/10.3390/rs13091813 (accessed: 31.05.2025).

30. Yu Z., Zhang M., Zhan Y., Guo Y., Zhang Y., Liang X., Wang C., Fan Y., Shan M., Guo H., Zhou W. Analysis of Temporal and Spatial Evolution Characteristics and Peak Predic tion of Carbon Emissions in China Under the Dual-Carbon Target: A Case Study of Heilongjiang Province // Agriculture. – 2025. – Vol. 15, Article 1126. – URL: https://doi.org/10.3390/agriculture15111126 (accessed: 31.05.2025).

31. AI-powered biodiversity monitoring in forest ecosystems // PRISM – Sustainability Directory. – URL: https://prism.sustainability-directory.com/scenario/ai-powered-biodiversity-monitoring-in-forest-ecosystems/ (accessed: 31.05.2025).

32. Wang W., Zhai D., Huang B. Implementation gaps affecting the quality of biodiversity conservation management: An ethnographic study of protected areas in Fujian Province, China // Forest Policy and Economics. – 2023. – Vol. 152. – Article 102933. – URL: https://doi.org/10.1016/j.forpol.2023.102933 (accessed: 31.05.2025).

33. ZHUART: Pioneering Innovation to Drive Bamboo Industry Growth // ZhuArt Bamboo. – URL: https://zhuartbamboo.com/zhuart-pioneering-innovation-to-drive-bamboo-industry-growth/ (accessed: 31.05.2025).

34. Qi S., Song B., Liu C., Gong P., Luo J., Zhang M., Xiong T. Bamboo Forest Mapping in China Using the Dense Landsat 8 Image Archive and Google Earth Engine // Remote Sensing. – 2022. – Vol. 14, Article 762. – URL: https://doi.org/10.3390/rs14030762 (accessed: 31.05.2025).

35. He A., Xu Z., Li Y., Li B., Huang X., Zhang H., Guo X., Li Z. Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV hyperspectral images // Geo-spatial Information Science. – 2025. – Published online: 04.02.2025. – URL: https://doi.org/10.1080/10095020.2025.2454521 (accessed: 31.05.2025).

Войти или Создать
* Забыли пароль?