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作 者:钟曦岳 Zhong Xiyue(Dalian Water Conservancy Architecture Design Institute Co.,Ltd.,Dalian,China)
出 处:《科学技术创新》2025年第9期197-200,共4页Scientific and Technological Innovation
摘 要:为了有效监测公路建设项目中的水土保持状况,通过介绍研究区概况、低空遥感数据采集、坡度计算与植被指数选择、机器学习提取土地覆被类型、土壤侵蚀强度计算与土壤侵蚀量估计以及监测精度评价等内容,分析了低空遥感技术在公路建设水土保持监测中的应用潜力。研究提出了结合低空遥感与机器学习的方法,以精确识别土地覆被类型,进而评估土壤侵蚀强度与侵蚀量。研究结果表明,该方法能够高效、准确地获取公路建设项目的水土保持状况数据,为制定有效的水土保持措施提供科学依据,有助于减少公路建设对生态环境的负面影响,促进可持续发展。通过研究,为公路建设项目水土保持监测提供了新的思路和技术手段。In order to effectively monitor the soil and water conservation status in highway construction projects,this paper introduces the overview of the research area,low altitude remote sensing data collection,slope calculation and vegetation index selection,machine learning extraction of land cover types,soil erosion intensity calculation and soil erosion estimation,and monitoring accuracy evaluation.The potential application of low altitude remote sensing technology in soil and water conservation monitoring in highway construction is analyzed.A method combining low altitude remote sensing and machine learning has been proposed to accurately identify land cover types and evaluate soil erosion intensity and amount.The research results indicate that this method can efficiently and accurately obtain data on soil and water conservation status of highway construction projects,providing scientific basis for formulating effective soil and water conservation measures,helping to reduce the negative impact of highway construction on the ecological environment,and promoting sustainable development.Through research,new ideas and technical means have been provided for soil and water conservation monitoring in highway construction projects.
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