基于无人机航测的水土保持监测精度及提升途径  

Research Progress of Soil and Water Conservation Monitoring Accuracy and Improvement Pathway Based on UAV Aerial Survey

作　　者：杨迎松 王克勤[1] 赵洋毅[1] YANG Yingsong;WANG Keqin;ZHAO Yangyi(College of Soil and Water Conservation,Southwest Forestry University,Kunming Municipality of Yunnan Province 650224,China)

机构地区：[1]西南林业大学水土保持学院,云南昆明650224

出　　处：《亚热带水土保持》2024年第4期20-24,共5页Subtropical Soil and Water Conservation

基　　金：国家重点研发计划项目(2022YFF130290402);国家自然科学基金项目(42067005);云南省青年人才专项(YNWR-QNBJ-2019-215);云南省大学生创新训练计划项目(s202310677085)。

摘　　要：基于无人机航测的水土保持监测在水土流失防治与监管工作中得到了快速发展并具有诸多优势,但其监测精度无法满足现阶段下的精细化发展需求。本文基于已有研究从外界环境干扰、传感器硬件性能、飞行方案规划、坐标定位精度、内业数据处理、特殊情况影响6个方面出发,总结概括了影响无人机航测水土保持监测精度的主要因素及影响机理,并探讨了提升无人机航测水土保持监测精度的新思路,即引入遥感影像质量控制和校验机制、强化影像识别解译手段和分析方法、开展变化特征时序分析和动态监测。Soil and water conservation monitoring through UAV aerial surveys has been developed rapidly,offering numerous benefits in soil erosion control and supervision.However,the current monitoring accuracy falls short of meeting the requirements for refined development.From the six aspects of the external environmental interference,sensor hardware performance,flight program planning,coordinate positioning accuracy,internal data processing,and the impact of unique circumstances,it was summed up based on the existing study the main factors and mechanisms that influence the accuracy of the soil and water conservation monitoring through the UAV aerial survey.In addition,it was also probed into the novel approach to enhance the monitoring accuracy by introducing the remote sensing image quality control and verification mechanism,enhancing image identification and interpretation methods,conducting the time-series analysis of change characteristics and the dynamic monitoring.

关 键 词：无人机遥感 水土保持监测 精度 影响因素 提升途径 

分 类 号：S157[农业科学—土壤学] X87[农业科学—农业基础科学]