German Institute for Development Evaluation

Methods & Standards

Improving Disaster Risk Management and Climate Change Adaptation through Innovative Use of Remote Sensing Data

Climate change is a global challenge, which calls for appropriate responses in the fields of disaster risk management and climate change adaptation. Moreover, new evaluation questions emerge: How can changes in the environment caused by climate change be measured. The impacts of climate change are addressed within large-scale development programs. However, the effects of these programs remain hard to verify using established evaluation methods. An innovative approach to answer these questions is the integration of new methods and methodological applications: The use of information derived from remote sensing data is a key mechanism to obtain in-depth information and add suitable instruments to the evaluators’ toolbox.

Remote sensing describes the collection and analysis of information of the earth’s surface by means of remotely operated collection platforms. Sensors attached to airplanes, satellites or drones capture spectral information, which are analyzed using geographic information systems (GIS). The integration of remote sensing data empowers evaluators to measure changes in the human environment, ranging from large-area phenomena such as deforestation, the extend of natural disasters, to small-scale changes, such as an assessment of household welfare or the development of regional infrastructure.


The German Institute for Development Evaluation utilizes the potentials of this promising approach pursuing the objective of using remote sensing information to measure the success of a rural development program in the Philippines dealing with the implementation of disaster risk management efforts. A comprehensive account of the disaster risk management efforts is generated by integrating information derived from different sources: high-resolution remote sensing data as well as survey data are processed and analyzes using sophisticated methodological approaches, such as machine learning techniques.  

The development of these innovative methodological approaches is carried out in close cooperation with remote sensing experts from the Earth System Analysis Unit of the Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente (Enschede, The Netherlands).

The methods developed during this project are later applied and refined in a follow-up evaluation examining the efforts of the German Development Cooperation in the field of climate change adaptation.