SEN4LDN National Demonstration Products on Trends in Land Productivity for Land Degradation Neutrality Monitoring (Q6699249)

This dataset contains the National Demonstration products that were generated within theESA SEN4LDN project: "High resolution Land Degradation Neutrality Monitoring"for the sub-indicator onTrends in Land Productivity over Colombia, Portugal and Uganda. To evaluate trends in land productivity, the seasonal accumulated production of green biomass is estimated from a Sentinel-2 derived index, which is an indicator for photosynthetic activity and overall ecosystem functionality. The trend of vegetation productivity is estimated for the period 2018-2023 at 10 m spatial resolution. The performance of vegetation productivity is based on comparison of the local productivity to similar land units over a larger area. Discrete and continuous land productivity degradation maps are generated based on the combination of the former two. The dataset includes: Values of trend coefficient of productivity over the period 2018-2023, with file naming LPROD_country_trendval.zip Classes indicating trend / no trend, with file naming LPROD_country_trendclass.zip Maximum performance 2021-2023 over the land cover class reference, with file naming LPROD_country_perfval.zip Classes of performance indicating degradation / no degradation, with file naming LPROD_country_perfclass.zip Land productivity degradation classes, with file naming LPROD_country_LPD.zip Products are distributed as 3x3 tiles with 1/12000 resolution (~10m) in Cloud Optimized Geotiff format. More information on product format and content can be found in the Product User Guide, available on the SEN4LDN Deliverables web page. The SEN4LDN project aimed to develop, demonstrate and validate a robust and scientifically-sound EO methodology that exploits the high frequency and spatial resolution of open and free-of-charge satellite imagery to increase the spatial details of national assessments of land degradation and restoration, and provide synoptic information for countries to plan LDN interventions at appropriate scales. More information onhttp://esa-sen4ldn.org/. Click here to view the maps in an interactive Google Earth Engine application.