
Effects of UAV flight altitude on the accuracy of monitoring Dendrolimus superans pests by remote sensing
YANG Le, HUANG Xiaojun, BAO Yuhai, BAO Gang, TONG Siqin, Sudubilig
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (4) : 13-22.
Effects of UAV flight altitude on the accuracy of monitoring Dendrolimus superans pests by remote sensing
【Objective】This study aims to explore the influence of unmanned aerial vehicles(UAV) flight altitude mechanism on the accuracy of monitoring larch caterpillar (Dendrolimus superans) insect pests, and provide an important reference for ground UAV remote sensing monitoring of forest pests.【Method】 The areas known for frequent occurrences of D. superans in Da Hinggan Mountains were selected and multispectral remote sensing images collected by UAV at different flight altitudes were used as the basic data. This study obtained the canopy spectral indexes and texture features of 386 healthy, mild, and severely damaged trees by D. superans. Analysis of variances and continuous projection algorithms were used to extract the spectral features sensitive to pest severity. The pest severity monitoring model was constructed using random forest and support vector machine algorithms, and expounded the influence of flight altitude on monitoring accuracy.【Result】(1) The accuracy of overall (mild + severe) monitoring of the spectral indexes and texture features decreased with an increase in flight altitudes. However, the accuracy of mild and severe monitoring of trees damaged by D. superans exhibited different trends. (2) The pest monitoring accuracy of the combination of spectral indices (MTVI 2, GNDVI 2, DVI, GMI 1 and GNDVI) + texture feature (MEA 3) was the best, and the overall accuracy and Kappa coefficient were 92.3% and 0.891, respectively. However, the overall and accuracy of mild monitoring decreased with an increase in flight altitudes, where the decline rate was 0.04%/m and 0.03%/m, respectively, and the accuracy of severe monitoring increased (the rise rate was 0.03%/m). 【Conclusion】 The flight altitudes significantly impacted the accuracy of UAV ground pest monitoring. There was a difference in the rate and trend between the accuracies of mild and severe monitoring. The rate of change in the accuracy of mild monitoring with flight altitude was faster than that of the accuracy of the severe monitoring. Thus, an early identification of pests using a high-precision UAV remote sensing, adaptable to various flight altitudes, is needed to monitor pest severity and improve the expected effects.
Dendrolimus superans / insect pest / unmanned aerial vehicles(UAV) / flight altitude / multi-spectral remote sensing monitoring
[1] |
陈科屹, 王建军, 何友均, 等. 黑龙江大兴安岭重点国有林区森林碳储量及固碳潜力评估[J]. 生态环境学报, 2022, 31(9):1725-1734.
|
[2] |
潘忠, 张立杰, 孙景波, 等. 大兴安岭林区调研后的思考[J]. 东北林业大学学报, 2004, 32(6):101-102.
|
[3] |
黄晓君. 落叶松针叶虫害地面高光谱识别及遥感监测方法研究[D]. 兰州: 兰州大学, 2019.
|
[4] |
郝玉山, 周本志. 内蒙古大兴安岭林区主要森林害虫危害的分析[J]. 中国森林病虫, 2003, 22(2):40-41.
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
白力嘎, 黄晓君,
|
[10] |
西桂林, 黄晓君, 包玉海, 等. 雅氏落叶松尺蠖不同危害程度下林木冠层颜色高光谱判别[J]. 光谱学与光谱分析, 2020, 40(9):2925-2931.
|
[11] |
薛大暄, 张瑞瑞, 陈立平, 等. 基于Faster R-CNN的美国白蛾图像识别模型研究[J]. 环境昆虫学报, 2020, 42(6):1502-1509.
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
黄晓君, 颉耀文, 包玉海, 等. 微分光谱连续小波系数估测雅氏落叶松尺蠖危害下的落叶松失叶率[J]. 光谱学与光谱分析, 2019, 39(9):2732-2738.
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
刘俊, 周靖靖, 菅永峰, 等. Worldview-2不同波段纹理特征对森林蓄积量估算精度影响[J]. 西北林学院学报, 2021, 36(3):175-181.
|
[30] |
牛芳鹏, 李新国, 李新国, 麦麦提吐尔逊·艾则孜, 等. 基于光谱指数的博斯腾湖西岸湖滨绿洲土壤有机碳含量估算模型[J]. 江苏农业学报, 2022, 38(2):414-421.
|
[31] |
王蕾, 骆有庆, 张晓丽, 等. 遥感技术在森林病虫害监测中的应用研究进展[J]. 世界林业研究, 2008, 21(5):37-43.
|
[32] |
王正兴, 刘闯,
|
[33] |
关丽, 刘湘南. 两种用于作物冠层叶绿素含量提取的改进光谱指数[J]. 地球科学进展, 2009, 24(5):548-554.
|
[34] |
陈玲, 郝文乾, 高德亮. 光学影像纹理信息在林业领域的最新应用进展[J]. 北京林业大学学报, 2015, 37(3):1-12.
|
[35] |
|
[36] |
|
/
〈 |
|
〉 |