The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Global estimates of ecosystem service value (ESV) and change are often produced using satellite-based land cover maps. However, uncertainties in global land cover data and their impacts on ESV estimation have not been fully recognized. Considerably inflated estimates of land cover change and ESV change could be derived using a direct map comparison approach when classification uncertainties are not...
Reliable and timely information on agricultural production is essential for ensuring world food security. Freely available medium-resolution satellite data (e.g. Landsat, Sentinel) offer the possibility of improved global agriculture monitoring. Here we develop and test a method for estimating in-season crop acreage using a probability sample of field visits and producing wall-to-wall crop type maps...
We propose a time-series model for characterizing land cover change. The model is developed based on a realistic view of land surface transformation—spatially discrete land cover change events are continuous processes over time. The model utilizes a non-linear mathematical function to reconstruct the underlying continuous land change process from temporally discrete satellite observations. Based on...
Six coarse-resolution global land cover maps are assessed for forest mapping using higher-resolution (i.e. 30-m, “Landsat” resolution) regional land cover products as reference. All products are aggregated spatially and thematically to derive fractional forest cover maps at 5-km spatial resolution. Forest-cover accuracy varies by product and continent. Compared with reference, GLC2000, GLCC and GlobCover...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.