COMMERCIALISATION OF SATELLITE-BASED MONITORING AND EVALUATION DATA FOR LONG TERM DISASTER RECOVERY

通过后续筹资寻求的商业机会正在为市场带来一类新的系统和独立的监测和评估数据，以满足国家政府、国际捐助者和非政府组织等主要利益攸关方的需要。拟议的后续项目将使用EPSRC项目“衡量、监测和评价灾后恢复的指标”(EP/F015232/1)的成果，其中从高分辨率卫星图像中提取了一套涵盖核心恢复部门的12项业绩指标。原型监测和评估数据集是对2004年印度洋海啸后泰国班南干和2005年地震后巴基斯坦穆扎法拉巴德等城市的恢复绩效指标进行试点测试后得出的。恢复项目小组取得了以下研究成果：(1)使用卫星监测和评估灾后恢复的可转移方法；(2)一系列数据表示，例如地理信息系统地图、图表、条形图、用于显示恢复信息的表格。后续项目的主要目标是：(1)确定和开发数据库结构和数据包，以适应具有不同地理重点和业务规模的援助机构的需要；(2)确定和开发适合援助机构工作流程的交付协议，同时考虑到不同业务阶段需要不同形式的不同数据。这些目标将通过让最终用户社区在业务情况下强有力地测试原型指标，从而将其微调为商业监测和评估数据提供来实现。监测和评估(监测和评估)实地取得的进展是协助长期恢复的援助项目的基本要求。对数据进行投资，使捐助者能够向利益攸关方提供问责，这将使机构能够更有效地进行干预。它将通过公正地评估在项目生命周期的关键阶段是否实现了目标，最终改善项目成果。

The commercial opportunity being pursued through follow-on funding is bringing to the market a new class of systematic and independent monitoring and evaluation (M&E) data that meets the need of the key stake holders such as the national governments, international donors and NGOs. The proposed follow on project will use the outcomes of EPSRC project 'Indicators for Measuring, Monitoring and Evaluating Post-Disaster Recovery' (EP/F015232/1), where a suite of twelve Performance Indicators spanning core recovery sectors were extracted from high-resolution satellite imagery. The prototype M&E datasets resulted from pilot testing the recovery performance indicators in the cities of Ban Nam Khem, Thailand after the 2004 Indian Ocean tsunami, and Muzaffarabad, Pakistan after the 2005 earthquake. The Recovery Project Team delivered the following research outcomes: (1) a transferrable methodology for monitoring and evaluating post-disaster recovery using satellites; and (2) a range of data representations, e.g. GIS maps, graphs, bar charts, tables for displaying the recovery information. The main objective of the follow on project is to: (1) identifying and developing database structures and data packages that suit the needs of aid agencies with different geographic foci and scales of operation; and (2) identifying and developing delivery protocols that suit the workflow of aid agencies, taking into account the fact that different data in different forms are required at different operational stages. These aims will be achieved by engaging the end user community to robustly test the prototype indicators within operational situations, and thereby fine-tuning them into a commercial M&E data offering.Monitoring and evaluating (M&E) progress made on the ground is a fundamental requirement for aid projects that provide assistance to long term recovery. An investment in data that enables donors to provide accountability to stakeholders will allow more efficient agency intervention. It will ultimately improve project outcomes by impartially assessing whether objectives are being met at key stages during the lifetime of a project.