JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (4): 13-22.doi: 10.12302/j.issn.1000-2006.202204047

Special Issue: 第三届中国林草计算机应用大会论文精选(Ⅱ)

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Effects of UAV flight altitude on the accuracy of monitoring Dendrolimus superans pests by remote sensing

YANG Le1(), HUANG Xiaojun1,*(), BAO Yuhai1, BAO Gang1, TONG Siqin1, Sudubilig 2   

  1. 1. Inner Mongolia Key Laboratory of Remote Sensing & Geography Information System, Inner Mongolia Key Laboratory of Disaster and Ecological Security on the Mongolia Plateau, College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
    2. College of Environment, Northeast Normal University, Changchun 130024, China
  • Received:2022-04-25 Revised:2023-04-16 Online:2023-07-30 Published:2023-07-20

Abstract:

【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.

Key words: Dendrolimus superans, insect pest, unmanned aerial vehicles(UAV), flight altitude, multi-spectral remote sensing monitoring

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