This project will develop a scalable application to automate the generation and continuous updating of key climate change mitigation and adaptation indicators under the UN CISAT framework. The initiative will leverage advanced data science methods to produce high-quality, spatially and temporally explicit, disaggregated, and policy-relevant data to strengthen national monitoring capacities for climate action, with primary focus in Brazil. By automating workflows for Indicators 125 (Increase in Forest Area), 143 (Nature-Based Adaptation Services), and 145 (Proportion of Urban Green Spaces), the platform will bridge persistent data gaps, improve reporting efficiency, and support timely, evidence-based decision-making in alignment with the SDGs and the Paris Agreement. The application will also provide critical insights into the resilience and sustainability of ecosystems and urban environments, offering a scalable model that can be adapted and replicated in Brazil and other countries facing similar climate monitoring challenges.