OurEO - Remote Sensing for Road Management in Developing Countries

在HODOS媒体有限公司(HODOS)、亚洲开发银行(ADB)和公路管理服务有限公司(HMS)在2021年第一季度举行的各种电话会议上(另一个项目)，围绕亚行在监测发展中国家道路方面面临的挑战进行了一些转换，并讨论了使用遥感和地球观测卫星的问题。另外，HODOS一直在研究使用各种方法来监测发展中国家的道路和交通状况。这些数据包括来自现有舰队的远程信息处理设备的数据集，地面上专门配备的车辆，以及其他遥感技术。HODOS一直在考虑进行一项技术可行性研究，看看是否有任何想法是可行的，然后再与资助机构联系，以帮助支持一个概念验证项目。基于空间的HODOS概念是使用具有成本效益的低分辨率地球观测和其他遥感数据来确定主要关注的问题和感兴趣的局部区域，然后利用更精细的分辨率数据来解决任何具体问题。在最初的一些“手动”项目和对历史数据集的一些分析之后，他们的期望是构建机器学习软件，该软件可以经过训练快速发现问题，使其成为商业上可持续的解决方案。在可能的情况下，可以合并其他陆地数据集，以进一步优化该系统。

During various conference calls between Hodos Media Limited (Hodos), the Asian Development Bank (ADB) and Highway Management Services Limited (HMS) during Q1 2021 (on another project) there occurred some conversions around the challenges faced by the ADB in monitoring roads in developing countries, and the subject of using Remote Sensing and Earth Observation satellites was discussed.Separately, Hodos has been examining the use of a variety of approaches to monitor road and traffic conditions in developing countries. These include datasets from telematics devices from existing fleets, specifically equipped vehicles on the ground, as well as other Remote Sensing techniques. Hodos had been considering conducting a technical feasibility study to see if any of the ideas were viable before approaching funding bodies to help support a proof-of-concept project.The space based Hodos concept was to use cost-effective, low resolution Earth Observation and other Remote Sensing data to identify the major concerns and localised areas of interest, and then utilise finer resolution data to address any specific problems. After some initial "hand-cranked" projects and some analysis of historical datasets, the expectation was to build machine learning software that could be trained to quickly find issues, making it a commercially sustainable solution. Where possible other terrestrial datasets could be combined, to further optimise the system.