Hay S I, Tucker C J, Rogers D J, Packer M J
Department of Zoology, University of Oxford, U.K.
Ann Trop Med Parasitol. 1996 Feb;90(1):1-19. doi: 10.1080/00034983.1996.11813021.
This paper gives an overview of how certain meteorological data used in studies of the population dynamics of arthropod vectors of disease may be predicted using remotely sensed, satellite data. Details are given of the stages of processing necessary to convert digital data arising from satellite sensors into ecologically meaningful information. Potential sources of error in these processing steps are also highlighted. Relationships between ground-measured meteorological variables (saturation deficit, ground temperature and rainfall) and data from both the National Oceanic and Atmospheric Administration's, polar-orbiting, meteorological satellites and the geostationary, Meteosat satellite are defined and examples detailed for Africa. Finally, the current status of existing satellite platforms and future satellite missions are reviewed and potential data availability discussed. How such satellite-based predictions have proved valuable in understanding the distribution of tsetse fly species in Côte d'Ivoire and Burkina Faso will be the subject of a future review.
本文概述了如何利用遥感卫星数据预测疾病节肢动物媒介种群动态研究中使用的某些气象数据。详细介绍了将卫星传感器产生的数字数据转换为具有生态意义的信息所需的处理阶段。还强调了这些处理步骤中潜在的误差来源。定义了地面测量的气象变量（饱和亏缺、地面温度和降雨量）与美国国家海洋和大气管理局极轨气象卫星以及地球静止气象卫星Meteosat数据之间的关系，并给出了非洲的详细示例。最后，回顾了现有卫星平台的现状和未来卫星任务，并讨论了潜在的数据可用性。基于卫星的预测如何在理解科特迪瓦和布基纳法索采采蝇物种分布方面被证明具有价值，将是未来一篇综述的主题。
