General Land Use Cover Datasets for America and Asia. García-Álvarez, D. & Lara Hinojosa, J. In García-Álvarez, D., Camacho Olmedo, M. T., Paegelow, M., & Mas, J. F., editors, Land Use Cover Datasets and Validation Tools, pages 361–372. Springer International Publishing, Cham, 2022. ![General Land Use Cover Datasets for America and Asia [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract In this chapter we review some examples of general Land Use Cover (LUC) mapping at a supra-national level in America and Asia. These datasets provide a general overview of the land uses and covers in specific American or Asian regions, without focusing on any particular land use or cover. For Asia, we have only identified one dataset mapping the Himalayan region, whereas for America five different datasets were identified. Only three of these are reviewed here, as the other two (SERENA, South America 30 m) are not available for download. The most ambitious project of all those reviewed is NALCMS, which coordinates the production of a LUC map for the whole of North America (Canada, Mexico, USA) at detailed scales (30–250��m) and using the same classification legend. It is the only dataset of all those reviewed that provides a time series of LUC maps (2005, 2010 and 2015). The Himalaya Regional Land Cover database is a vector-based map that provides information on LUC changes over the period 1970/80–2007 at a scale of 1:350,000. The other two American datasets—LBA-ECO LC-08 (1 km, 1987/91) and MERISAM2009 (300 m, 2008/10)—are raster-based and only available for one date, therefore making change detection impossible.
@incollection{garcia-alvarez_general_2022,
address = {Cham},
title = {General {Land} {Use} {Cover} {Datasets} for {America} and {Asia}},
isbn = {978-3-030-90997-0 978-3-030-90998-7},
url = {https://link.springer.com/10.1007/978-3-030-90998-7_18},
abstract = {Abstract
In this chapter we review some examples of general Land Use Cover (LUC) mapping at a supra-national level in America and Asia. These datasets provide a general overview of the land uses and covers in specific American or Asian regions, without focusing on any particular land use or cover. For Asia, we have only identified one dataset mapping the Himalayan region, whereas for America five different datasets were identified. Only three of these are reviewed here, as the other two (SERENA, South America 30 m) are not available for download. The most ambitious project of all those reviewed is NALCMS, which coordinates the production of a LUC map for the whole of North America (Canada, Mexico, USA) at detailed scales (30–250��m) and using the same classification legend. It is the only dataset of all those reviewed that provides a time series of LUC maps (2005, 2010 and 2015). The Himalaya Regional Land Cover database is a vector-based map that provides information on LUC changes over the period 1970/80–2007 at a scale of 1:350,000. The other two American datasets—LBA-ECO LC-08 (1 km, 1987/91) and MERISAM2009 (300 m, 2008/10)—are raster-based and only available for one date, therefore making change detection impossible.},
language = {en},
urldate = {2023-06-01},
booktitle = {Land {Use} {Cover} {Datasets} and {Validation} {Tools}},
publisher = {Springer International Publishing},
author = {García-Álvarez, David and Lara Hinojosa, Javier},
editor = {García-Álvarez, David and Camacho Olmedo, María Teresa and Paegelow, Martin and Mas, Jean François},
year = {2022},
doi = {10.1007/978-3-030-90998-7_18},
keywords = {NALCMS},
pages = {361--372},
}
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