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首页> 外文期刊>Journal of terramechanics >A four-state field evaluation of the Boeing Landing Suitability Index (BLSI) for automatically mapping candidate aircraft operating sites in natural terrain from LANDSAT TM data
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A four-state field evaluation of the Boeing Landing Suitability Index (BLSI) for automatically mapping candidate aircraft operating sites in natural terrain from LANDSAT TM data

机译:波音飞机着陆适应性指数(BLSI)的四状态现场评估,用于根据LANDSAT TM数据自动绘制自然地形中的候选飞机运行地点

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The Boeing Landing Suitability Index (BLSI) is a computer algorithm designed at Bowling Green State University for The Boeing Company for the purpose of mapping candidate aircraft operating sites of different "runway" lengths in natural terrain from LANDSAT TM data. Four LANDSAT TM frames (each 115 miles x 115 miles in area) from parts of California, New Mexico, South Dakota, and Louisiana (with annual rainfalls averaging approximately 3.5, 7, 17, and 53 in., respectively, though the Louisiana frame was collected during a drought year that had 28 in. of annual rainfall) were entered as inputs to the BLSI algorithm, which identified pixels in each of the frames that were sufficiently flat, treeless, and absent of surface water to land an aircraft on them, present weather conditions permitting, and perform off-loading, on-loading, and take-off operations. Adjustments were made to the algorithm for differences in annual rainfall. Although no attempt was made before these field trips to force BLSI to map surface firmness, the California Bearing Ratio (CBR) was measured in the field on-site and off-site with dynamic cone penetrometers by a contractor for the Air Force Research Lab (Tyndall AFB in Florida) for several of these candidate aircraft operating sites. We found that all of the sites selected by BLSI that were visited in the field were suitably flat for landing and had no surface water or trees on them (except for one small tree that was younger than the LANDSAT frame employed for that region). Fortunately, most of these candidate aircraft operating sites found by BLSI had firmer ground than their immediate surroundings, as measured from the dynamic cone penetrometers. Our field observations support the hypothesis that BLSI is primarily mapping very subtle, local topographic highs. Such a subtle topographic high, which may rise only few feet from the middle to the edge of a candidate aircraft operating site, usually has a hard pan beneath it, owing to its relatively better drainage, compared with its immediate surrounds. This may account for its greater firmness, compared to its surrounds. Because the slopes are so small and the feature is slightly convex upward, there are no gullies on candidate aircraft operating sites. This causes the subtle topographic highs to be very flat and without rocks, unlike higher-sloped regions, where water in gullies tend to wash rocks. This seems the most reasonable explanation for why a pixel size as gross as 28.5 m (LANDSAT TM bands 1-5 and 7) is adequate to map such features. BLSI displayed as a continuous-toned image has potential for mapping areas of highest trafficability for wheeled vehicles, with lower BLSI values (shown as purple or blue areas) having the greatest trafficability.
机译:波音着陆适应性指数(BLSI)是鲍林格林州立大学为波音公司设计的一种计算机算法,目的是根据LANDSAT TM数据在自然地形中绘制具有不同“跑道”长度的候选飞机运行地点。来自加利福尼亚,新墨西哥州,南达科他州和路易斯安那州的部分地区的四个LANDSAT TM框架(每个区域115英里x 115英里)(尽管路易斯安那框架年平均降雨量分别约为3.5英寸,7英寸,17英寸和53英寸)。是在每年有28英寸降雨量的干旱年份收集的)作为BLSI算法的输入,该算法可识别每个框架中的像素,这些像素足够平坦,无树且没有地表水,无法在其上降落飞机,目前的天气状况允许,并执行卸载,装载和起飞操作。对算法进行了调整,以解决年度降雨量的差异。尽管在进行这些野外试验之前未曾尝试过使BLSI测绘表面硬度,但美国空军研究实验室的承包商在现场和异地使用动态锥孔透度计在现场和非现场测量了加利福尼亚轴承比(CBR)(佛罗里达州廷德尔空军基地)的几个候选飞机运营地点。我们发现,由BLSI选择的所有在现场访问的站点都适合平坦着陆,上面没有地表水或树木(除了一棵比该地区使用的SATSAT框架还年轻的小树)。幸运的是,BLSI发现的所有这些候选飞机操作地点的地面都比其周围的环境更坚固,这是根据动态圆锥穿透仪测得的。我们的现场观察支持以下假设:BLSI主要是在绘制非常细微的局部地形高点。这种微妙的地形高点可能会从候选飞机操作地点的中部到边缘仅几英尺高,由于下方的排水系统比周围环境更好,通常在其下方有一个硬盘。与周围环境相比,这可能是其更大硬度的原因。由于坡度非常小,并且特征略微向上凸,因此候选飞机的运营地点没有沟壑。这导致微妙的地形高处非常平坦,并且没有岩石,这与较高坡度的地区不同,在高坡度的地区,沟壑中的水往往会冲刷岩石。对于总像素为28.5 m(LANDSAT TM波段1-5和7)的像素大小为何足以映射此类特征,这似乎是最合理的解释。显示为连续色调图像的BLSI具有绘制轮式车辆通行性最高的区域的潜力,而较低的BLSI值(显示为紫色或蓝色区域)具有最大的通行性。

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