Data for: Cloud-based solutions for monitoring coastal ecosystems and prioritization of restoration efforts across Belize

The linked change detection datasets include change detection model runs generated using LandTrendr, Landsat-based Detection of Trends in Disturbance and Recovery, which was developed by the Oregon State University Environmental Monitoring, Analysis, and Process Recognition Lab (Kennedy, R.E., 2018), and CCDC-SMA, Continuous Change Detection and Classification - Spectral Mixture Analysis, which was developed by Dr. Shijuan Chen, (Chen, S., 2021). These runs were parameterized individually for the following time periods: 2000-2024 for algorithm tuning, 2018-2024 for change output analysis, and 2024 for mangrove validation, and were tuned within their associated Google Earth Engine Application Programming Interface. The linked extent file is the 2024 stable mangrove extent generated by applying the best performing change detection model run to the Cherrington et al., 2020 stable mangrove extent from 2017 (linked here: doi: 10.17632/2fzbnpnsdp.1) A full description of the process by which the data were generated is provided in “Cloud-based solutions for monitoring coastal ecosystems and prioritization of restoration efforts across Belize.”