Abstract
The National Inventory of Landscapes in Sweden (NILS) was established by the Swedish Environmental Protection Agency to provide data for policy-makers in the country. Its main role is to determine the status of (and changes in) the Swedish landscape, either as a consequence of natural and/or anthropogenic disturbances, or because of ecological processes. In 2017, data from NILS will become available on the NILS data portal for analysis by researchers and other interested parties, such as governmental bodies. NILS’s data collection covers all terrestrial areas and identifies variables such as land cover, land use (including historical land use), tree, shrub, field and ground vegetation and surfaces. The program consists of two parallel inventories, a field inventory and a remote sensing inventory, with both covering the nation in five-year rotations. The field inventory employs a large group of field-workers, and all sample squares are also inventoried using aerial near-infrared stereo imagery provided by the Swedish Land Survey. The first rotations of field data will soon be available, and the data from the first rotation of the remote sensing component (2003–2007) is already available. As part of the EU, Sweden is currently updating the mapping of land cover data, using the national coverage of airborne Light Detection and Ranging (LIDAR) and the European satellites of the Sentinel series. While at the same time strengthening the statistical estimates made from the NILS data. The principal role of the NILS program is to provide the reference data for both the classification of chosen vegetation types and for the validation of the results. The data collection for this mapping will start in 2017, using remote sensing and modelling, and sampling additional inventory areas for reference data.
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Allard, A. (2017). NILS – A Nationwide Inventory Program for Monitoring the Conditions and Changes of the Swedish Landscape. In: Díaz-Delgado, R., Lucas, R., Hurford, C. (eds) The Roles of Remote Sensing in Nature Conservation. Springer, Cham. https://doi.org/10.1007/978-3-319-64332-8_5
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