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Abstract

Monitoring the response of vegetation to the changing weather in an ecosystem and climate provides an opportunity for adaptation and mitigation of climate change which remains challenging, especially at the municipal level. The climate data resources and services, such as a cloud-based platform providing freely and openly available wide-range climate data from the European Earth observation program Copernicus, Climate Data Store (CDS), are still limited to be used. Practical examples of data utilization, processing, and presentation for climate resilience for municipality planning applications should be developed and adequately introduced combined with in situ data and other resources. This study aims to develop knowledge and practice to address the climate change adaptation challenges at the municipal level. It focused on vegetation health status and how it relates to several climate conditions. The health status of vegetation is examined using the leaf area index (LAI) and a fraction of photosynthetic radiation (FAPAR) provided by CDS in 300 m resolution. This coarse resolution is needed to be improved so the information is precisely enough supplied for the municipal level. The empirical model was used to derive LAI and FAPAR in 10 m resolution, generated from vegetation indices of Sentinel-2 using a linear model to produce vegetation health status and further used as the input of forest-based classification and regression. It is performed to create a climate envelope model representing the relation between vegetation and climate factors.