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首页> 外文期刊>GIScience & remote sensing >Using Advanced Land Imager (ALI) and Landsat Thematic Mapper (TM) for the Detection of the Invasive Shrub Lonicera maackii in Southwestern Ohio Forests
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Using Advanced Land Imager (ALI) and Landsat Thematic Mapper (TM) for the Detection of the Invasive Shrub Lonicera maackii in Southwestern Ohio Forests

机译:使用高级陆地成像仪(ALI)和Landsat专题测绘仪(TM)来检测俄亥俄西南森林的入侵灌木忍冬

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摘要

We tested how accurately image data from the Advanced Land Imager (ALI) sensor vs. the Landsat Thematic Mapper (TM) predict the land cover of Lonicera maackii in the forest understory, taking advantage of this invasive shrub's extended leaf retention in the fall when the canopy is leafless. Percent cover of L. maackii in 20 woodlots in southwestern Ohio was regressed on values for spectral vegetation indices (SVIs) derived for each image. The land cover of L. maackii was best explained by the Simple Ratio (SR) using TM data (R~2 = 0.537). The regression results for SVIs from TM vs. ALI suggest that the ALI image was acquired too late in the fall to accurately detect this invasive shrub.
机译:我们测试了先进陆地成像仪(ALI)与Landsat专题测绘仪(TM)对比得到的图像数据如何准确预测森林下层林中忍冬忍冬的土地覆盖情况,并利用了这种侵入性灌木在秋天落叶时的滞留性。天篷无叶。根据每个图像得出的光谱植被指数(SVI)值,对俄亥俄州西南部20个林地中的马氏乳杆菌覆盖率进行了回归。用TM数据(R〜2 = 0.537)用简单比率(SR)最好地解释了马氏乳杆菌的土地覆盖。来自TM与ALI的SVI的回归结果表明,ALI图像的获取时间太晚,无法准确检测到这种侵入性灌木。

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  • 来源
    《GIScience & remote sensing》 |2012年第3期|p.450-462|共13页
  • 作者单位

    Department of Geography, Miami University,Oxford, Ohio 45056;

    Department of Geography, Miami University,Oxford, Ohio 45056;

    Department of Botany, Miami University,Oxford, Ohio 45056;

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