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首页> 外文会议>American Society for Photogrammetry and Remote Sensing Annual Conference >PREDICTIVE ANALYSIS OF INVASIVE SPECIES-THE CASE OF PHRAGM1TES AUSTRALIS (COMMON REED) ALONG THE RAPPAHANNOCK RIVER BASIN
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PREDICTIVE ANALYSIS OF INVASIVE SPECIES-THE CASE OF PHRAGM1TES AUSTRALIS (COMMON REED) ALONG THE RAPPAHANNOCK RIVER BASIN

机译：侵入性物种的预测分析 - 沿着拉普坦河流域澳大利亚（共同芦苇）的案例

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This paper uses statistical predictive analysis to explore likely locations in Essex County, Virginia for Phragmites Australis, an invasive wetland species that has expanded its range since 1960 to an additional 18 US States. Over forty geospatial factors were used in the analysis which generates a likelihood surface predicting where additional stands of this species may be expected. Factor metrics that reveal geospatial signatures from hotspot areas sharing similarities with those signatures from sampled data are compared using weighted likelihood, mean contribution, and contrast measures. Future research will test model accuracy through field investigation of the predicted high-likelihood locations, and examine hyperspectral vegetation indices for those areas. This research contributes to improved Phragmites detection methods using remote sensing and GIS technology.
机译：本文采用统计预测分析探索弗吉尼亚州埃斯克斯县的可能位置，澳大利亚弗吉尼亚州澳大利亚，这是一种侵入性湿地物种，其自1960年以来一直扩大其范围，额外的18个美国各国。在分析中使用超过四十个地理空间因子，该分析产生了预测该物种的附加站点的似然表面。使用加权可能性，平均贡献和对比度测量，将来自热点区域的地理空间签名的因子度量显示与采样数据的那些签名的相似度。未来的研究将通过现场调查来测试模型准确性，通过预测的高似然位置，检查这些区域的高光谱植被指数。该研究有助于利用遥感和GIS技术改进芦苇检测方法。

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