Moloney J M, Skelly C, Weinstein P, Maguire M, Ritchie S
Department of Tropical Environment Studies and Geography, James Cook University, Townsville, Queensland, Australia.
Am J Trop Med Hyg. 1998 Aug;59(2):261-4. doi: 10.4269/ajtmh.1998.59.261.
This project tested aerial photography as a surveillance tool in identifying residential premises at high risk of Aedes aegypti breeding by extending the use of a recently developed, ground-based, rapid assessment technique, the modified Premise Condition Index (PCI2). During 1995, we inspected 360 premises in Townsville, Australia for Ae. aegypti breeding, and PCI2 scores were recorded. The PCI2 values were also estimated from 1:3,000 color and infrared aerial photograph interpretation for the same premises. We found that shade levels can be accurately identified from both color and infrared images, and the PCI2 can be accurately identified from infrared photographs. Yard conditions, however, cannot be accurately identified from either aerial photograph type. The airborne PCI2 did not significantly correlate with breeding measures, and logistic regression further demonstrated that neither aerial photograph type allows the accurate prediction of Ae. aegypti breeding risk. Therefore, the ability of low-level aerial photography to enhance Ae. aegypti breeding site surveillance is at present limited, with ground surveillance remaining our most reliable tool for identifying the probability of Ae. aegypti breeding in the residential environment.
本项目通过扩展使用最近开发的基于地面的快速评估技术——改良的房屋状况指数(PCI2),测试了航空摄影作为一种监测工具在识别埃及伊蚊繁殖高风险住宅方面的作用。1995年期间,我们对澳大利亚汤斯维尔的360处房屋进行了埃及伊蚊繁殖情况检查,并记录了PCI2分数。还从相同房屋的1:3000彩色和红外航空照片判读中估算了PCI2值。我们发现,从彩色和红外图像中都能准确识别阴影水平,并且从红外照片中能准确识别PCI2。然而,从这两种航空照片类型中都无法准确识别庭院状况。空中PCI2与繁殖指标没有显著相关性,逻辑回归进一步表明,这两种航空照片类型都无法准确预测埃及伊蚊的繁殖风险。因此,目前低空航空摄影增强埃及伊蚊繁殖地监测的能力有限,地面监测仍然是我们识别住宅环境中埃及伊蚊繁殖可能性最可靠的工具。