水土保持研究2024，Vol.31Issue(6)：103-108,6.DOI:10.13869/j.cnki.rswc.2024.06.012
基于无人机遥感的植被覆盖与管理因子计算
Calculation of Vegetation Cover and Management Factor Based on Remote Sensing Image of Unmanned Aerial Vehicle
摘要
Abstract
[Objective]This study aims to explore the application of traditional mixed pixel decomposition method in drone remote sensing technology,and to propose a fast estimation method for vegetation cover and management factor(C factor)at a small scale.[Methods]Drone aerial photography was used to capture remote sensing imagery of land use in the Guli area of Jiangning,Nanjing.An object-oriented classification method was utilized to extract the coverage of various land types.The C value of the research area was computed based on the mixed pixel decomposition C factor model,and the method's accuracy was evaluated by comparing it with previous research results.[Results]The object classification results(vegetation,bare land,and non-photosynthetic land)have an overall accuracy of over 95％.Based on the mixed pixel decomposition C factor model,the estimated C values for forestland,cultivated land,and grassland in the Guli area are 0.057,0.176,and 0.043,respectively,which are close to existing research results.[Conclusion]Estimating C factor based on UAV remote sensing is feasible and more efficient compared to the traditional method of runoff plot observation.关键词
土壤侵蚀/植被覆盖与管理因子/通用土壤流失方程/无人机遥感/面向对象分类Key words
soil erosion/vegetation cover and management factor/universal soil loss equation/UAV remote sensing/object-oriented classification分类
农业科学引用本文复制引用
卞雪,卢慧中,耿韧,时宇,金秋,赵广举..基于无人机遥感的植被覆盖与管理因子计算[J].水土保持研究,2024,31(6):103-108,6.基金项目
国家自然科学基金(41907049) （41907049）
安徽省自然科学基金(2308085US04) （2308085US04）
南京水利科学研究院中央级公益性科研院所基本科研业务费专项资金(Y919021,Y923005,Y922001) （Y919021,Y923005,Y922001）
南京市水务科技项目(202303) （202303）
