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Comparison of different spatial resolution bands of SPOT 5 to plant community patch detection

机译:SPOT 5不同空间分辨率带与植物群落斑块检测的比较

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The extending phenomenon of plant community patches caused by seismic exploration of Shengli Oil Field has been found in the many areas of the Yellow River Delta. Successful management of extensive areas at plant community-level resolution first requires an efficient, cost-effective means of plant community classification and mapping. We evaluated the influence of different spatial resolution data on the accuracy of plant community map created from SPOT 5 satellite imagery of Gudong Oil Field in Yellow River Delta. Plant community patches were detected from SPOT 5 panchromatic band and multispectral bands based on patch shape. Detection accuracy was assessed using the visual interpretation results. Detection results created from SPOT 5 panchromatic band had higher overall accuracy (85.9%) than from multispectral bands (70.5%). Given the same detection method, high resolutions (2.5 m pixels) panchromatic band had potential to provide high detection accuracies, the SPOT 5 panchromatic band and multispectral bands were well-suited for detecting plant community patches in Gudong Oil Field and similar areas of Yellow River Delta. Practical procedures for plant community patch detection and accuracy assessment are presented for use by natural resource and environmental protection managers
机译:黄河三角洲许多地区都发现了胜利油田地震勘探引起的植物群落斑块扩展现象。要以植物群落级别的分辨率成功地管理广泛区域,首先需要一种有效,具有成本效益的植物群落分类和制图方法。我们评估了不同空间分辨率数据对黄河三角洲古洞油田SPOT 5卫星影像创建的植物群落图准确性的影响。基于斑块形状从SPOT 5全色带和多光谱带中检测到植物群落斑块。使用视觉解释结果评估检测准确性。从SPOT 5全色波段创建的检测结果具有比从多光谱波段(70.5%)更高的整体准确性(85.9%)。如果使用相同的检测方法,高分辨率(2.5 m像素)的全色带具有提供高检测精度的潜力,SPOT 5全色带和多光谱带非常适合检测古洞油田和黄河类似地区的植物群落斑块。三角洲。介绍了植物群落斑块检测和准确性评估的实用程序,供自然资源和环境保护经理使用

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