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林草湿调查监测评价方法及其应用探讨

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本文基于大数据和人工智能的新型评价方法,通过几个具体案例介绍了该新型评价方法在森林、草原和湿地调查监测实际应用中的效果,重点分析了相较于地面调查、遥感监测等传统方法,该新型评价方法在数据收集、整理和分析的高效性、准确性以及智能化和自动化监测的实现等方面具有显著优势.这些技术的应用将为森林、草原、湿地资源的保护和利用提供更加科学、准确和便捷的支持,为森林、草原、湿地生态系统的保护和可持续发展提供了有力支撑,但同时也存在一些挑战和问题,针对该新型评价方法存在的这些问题和挑战,提出了改进策略与建议.
Investigation,Monitoring and Evaluation Method of Forest,Grassland and Wetland and its Application
Based on the new evaluation methods of big data and artificial intelligence,this article introduced the effectiveness of this new evaluation method in the practical application of forest,grassland and wetland investigation and monitoring through several specific cases.The focus was on analyzing the significant advantages of this new evaluation method in terms of efficiency,accuracy,and intelligent and automated monitoring of data collection,organization,and analysis compared to traditional methods such as ground investigation and remote sensing monitoring.The application of these technologies will provide more scientific,accurate,and convenient support for the protection and utilization of forest,grassland and wetland resources,and provide strong support for the protection and sustainable development of forest,grassland and wetland ecosystems.However,there are also some challenges and problems.In response to these problems and challenges in the new evaluation method,improvement strategies and suggestions were proposed.

forestgrasslandwetlandsurvey monitoringbig dataartificial intelligence

陈树彪

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国家林业和草原局重点国有林区森林资源监测中心,黑龙江加格达奇 165000

森林 草原 湿地 调查监测 大数据 人工智能

2024

温带林业研究
国家林业局哈尔滨林业机械研究所

温带林业研究

影响因子:0.198
ISSN:2096-4900
年,卷(期):2024.7(4)