This interactive tool allows users to visualise and analyse land cover changes across 40 SIDS over three reporting periods. It provides area statistics, transition matrices, and spatial comparisons to support evidence-based decision-making and support UNCCD 2026 reporting process.
This LPD Comparison Tool for SIDS has been designed to help countries in the 2026 UNCCD reporting process by allowing easy comparison and choosing the available global models that best fit their local condition.
The main goal of this app is to allow an easy visualization of global SDG products based on different algorithms and raise awareness about the need to create capacity at national level to produce tailor products that fit the local conditions.
This app was designed to enable the exploration of a gap-filled, 30m NDVI time series derived entirely from Landsat imagery (Landsat 5, 7, 8, and 9) spanning 2000-2023. This high-resolution time series is generated by integrating available Landsat scenes with a Landsat 32-Day NDVI Composite and synthetic images produced using the CCDC algorithm to mitigate data gaps, including those resulting from the Landsat 7 SLC failure. Spatial and temporal filters are applied to correct for cloud effects and missing data across 40 SIDS. This comprehensive dataset serves as the basis for deriving LPD products, specifically tailored to support UNCCD SDG 15.3.1 reporting, thereby providing an enhanced foundation for evidence-based decision-making and sustainable land management.
Our Global App allows users to easily calculate the Land Productivity Dynamics indicator using different parametrization approaches on the FAO-WOCAT v2 model. The aim of this tool is to help you get the best fit-for-purpose map for your area.
This application was built to enable real-time generation of an LPD map for any of the 40 SIDS listed below, using either default or customized parameter settings. The process uses the 30-meter LANDSAT Mixed NDVI Gap-Filled time series as input, available from 2000 to 2023.
