Study on monitoring method of pitaya planting area based on UAV remote sensing

doi:10.14088/j.cnki.issn0439-8114.2022.03.031

Abstract

Abstract: In order to clarify the planting area of pitaya, a low altitude UAV equipped with multispectral sensors was used to collect data from the pitaya base in Lamo village, Leyuan town, Wangmo county, and the Maximum likelihood method was used to extract the planting area and calculate the area of pitaya. The result showed that when calculating the vegetation index, the vegetation index of pitaya ranges from 0.4 to 0.6. The texture was obvious on the multispectral image. The periphery was dominated by weeds, and the vegetation index of weeds ranges from 0.2 to 0.4, which could better distinguish pitaya from weeds; Combined with vegetation index and pitaya texture features, the Maximum likelihood method was used to extract pitaya planting area and calculate the area. The extraction accuracy was 88.4%, and the pitaya planting area in the study area was about 55 000 m².

Key words: UAV remote sensing, pitaya, area, Wangmo county

CLC Number:

P283.8

CHEN Zhi-hu, LIU Chun-yan, TONG Qian-qian, ZHAO Ze-ying, XU Yuan-hong. Study on monitoring method of pitaya planting area based on UAV remote sensing[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(3): 152-155.

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