A flagship project is the 'parktrends' project (https://www.parktrends.org). The goal of parktrends is to monitor habitat loss within and around protected areas at local scales, and to report the location of emerging short-term threats to the park managers. The platform serves as a global online interactive geodatabase of public access on the conservation status of protected areas. Habitat loss is detected using multiple optical and radar imagery sources analyzed with machine learning and deep learning approaches. Trends are quantified through the application of spatiotemporal data clustering techniques from sub-annual data obtained from dense time series of earth observation satellites. The user interface and cartographic design is intended to convey complex information in simple, easy-to-interpret terms.