![]() ![]() ![]() Now, the source imagery and each of the annual LULC maps are perfectly aligned. While the LULC maps have always been consistently aligned with one another, there was a sub-pixel offset between them and the source imagery. The source Sentinel-2 Level-2A imagery, from which the land cover is derived, is aligned to the MGRS. Staying “On the Grid”Īnother notable improvement with this update is the alignment of the LULC maps with the Military Grid Reference System (MGRS). With the improvements to the temporal consistency, users assessing temporal change across the time series can be confident that what they are seeing represents the natural world. With less spurious change, the 'built area' development is far more noticeable in the updated difference map. As demonstrated in the example below, the recent improvements can significantly reduce spurious change.Ībove is an example of the improved temporal consistency. Such cases can lead to false or spurious change results when conducting temporal change analysis. However, in some cases, classification results may vary from one annual cycle to the next due to modeling insufficiencies, variability in seasonal observations, and/or class ambiguity at 10-meter resolution. Improving on an already accurate set of annual maps, Impact Observatory has incorporated new features and methodologies in their proprietary deep learning classification model, resulting in better temporal consistency across the entire time series.Ĭhange between two LULC maps can potentially signify an important and developing change in an area of interest. Credible ChangeĪ fundamental aspect of global LULC maps is the ability to detect and assess land cover changes over time. Let’s take a closer look at a couple of the key improvements. There, you can download individual tiles by year, or entire years at once. If you had previously downloaded any of the data for offline use, you should probably refresh your local copy by again downloading via the download mode in the explorer app. As such, by virtue, it was also seamlessly updated with the new maps. The Sentinel-2 Land Cover Explorer app consumes that same dynamic time series layer. In the layer overview, you will find information about the maps, including the designated LULC classes and their descriptions. The Sentinel-2 10m Land Use/Land Cover Time Series is the time enabled layer in Living Atlas where you can find each annual map in the series. In short, this means that the new version seamlessly replaced the previous version and there are no functional changes to the existing items found in ArcGIS Living Atlas. What might this mean for you? Let’s find out.įirst of all, the overall structure and class designations of the new data is the same as the previous. In June 2023, through our continued partnership with Impact Observatory, we released ‘Version 003’ of the global LULC time series, from 2017 through 2022. Even so, we continue to update and improve our global land cover with new data and features. The Esri Land Cover map was already best in class according to an independent assessment conducted when ‘Version 001’ was announced in 2021. ![]()
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