The GEO4NAPS project seeks to identify the possibilities and limitations of using earth observations to monitor and evaluate outcomes from climate adaptation activities. We are supported by the GEO-Microsoft Planetary Computer Credits Program. The work is proceeding in three phases, as described below.
This project in progress. We welcome your feedback.
1. Measuring adaptation through indicators
In the first phase of the project, we reviewed academic literature, reports, and white papers to learn how others measure climate adaptation outcomes. Then, we created a list of adaptation indicators that may be useful in our work.
We solicited feedback on the list from climate adaptation experts from around the globe at the 2023 NAPExpo. We conducted a survey of the indicators. We also held a work session, where we discussed the best spatial and temporal resolutions at which to monitor and evaluate each indicator. Finally, we discussed how some adaptation outcomes are difficult to observe with remotely sensed data.
2. Methods
To track each indicator, we identified a list of relevant data products.
Some indicators are difficult to evaluate through existing data products. To track performance, it is essential that each data product is available in time series. It is very helpful if the data product has a sufficiently high spatial resolution that we can observe changes in the indicators at sub-national geometries.
We summarize the values of the data product at the national- and district-level, and then plot the value of the indicator over time. We look for periods when the indicator shows improvement and periods when it shows decline.
3. Case study: Malawi
We are in the process of testing the indicators in Malawi. We evaluate each indicator at the national- and district-levels. There are differences in the performance of indicators over time. Some districts seem to demonstrate improvements over time, possibly showing evidence of adaptation. With support from Dr. Chiotha and his team of researchers in Malawi, we will field-verifying the results from the analysis.
