Monitoring an invasive plant using hyperspectral remote sensing data
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Abstract
Invasive plants can influence the local eubiosis, and threaten the safety of ecosystem. Hyperspectral remote sensing data can be used to classify the different objects with different spectral characters. So we can get the position and area of the invasive plants from the hyperspectral images, which is important to aid to the manual in-situ remove work and save the labor and resources. In this paper, the hyperspectral data on HJ-1 satellite was used to monitor the invasive plant—Solidago Canadensis in Yixing city, Jiangsu Province. Combined with the in-situ data, the pixel with maximum area was selected as pure pixel. Spectral angle mapping (SAM) method was used to locate the Solidago Canadensis in the study area. The result showed that the area of Solidago Canadensis was 212 hm2, and which was larger than actual area. HJ-1 satellite can be used to monitor the invasive plant.
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