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    "description": "<p>The&nbsp;LUC dataset of S&atilde;o Louren&ccedil;o river basin, a major Pantanal wetland contribution area as provided by the 4<sup>th</sup>&nbsp;edition of the&nbsp;<a href=\"https://www.embrapa.br/pantanal/bacia-do-alto-paraguai\">Monitoring of Changes in Land cover and Land Use in the Upper Paraguay River Basin - Brazilian portion - Review Period: 2012 to 2014</a>&nbsp;(Embrapa Pantanal, Instituto SOS Pantanal, and WWF-Brasil 2015). For the development of the <a href=\"https://reginalexavier.github.io/OpenLand/index.html\">OpenLand R package</a> (tests and <a href=\"https://reginalexavier.github.io/OpenLand/articles/openland_vignette.html\">vignettes</a>), the original multi-year shape file was clipped to the extent of S&atilde;o Louren&ccedil;o basin, transformed into a 5-layer <a href=\"https://rdrr.io/cran/raster/man/stack.html\"><code>RasterStack</code></a> and then saved as .RDA file which can be loaded into <a href=\"https://www.r-project.org/\">R</a> (R Core Team, 2019). Five LUC maps (2002, 2008, 2010, 2012 and 2014) compose the time series. The study area of approximately 22,400 km<sup>2</sup>&nbsp;is located in the Cerrado Savannah biom in the southeast of the Brazilian state of Mato Grosso.</p>\n\n<p>The category names and colors&nbsp;to be associated with the pixel values follow the conventions given by&nbsp;Instituto SOS Pantanal and WWF-Brasil (2015)&nbsp;<a href=\"https://www.embrapa.br/documents/1354999/1529097/BAP+-+Mapeamento+da+Bacia+do+Alto+Paraguai+-+estudo+completo/e66e3afb-2334-4511-96a0-af5642a56283\">(access document here, page 17)</a>. The Portuguese legend acronyms were maintained as defined in the original dataset.</p>\n\n<p><strong>The original legend from SOS Pantanal</strong></p>\n\n<pre><code class=\"language-markdown\"> _______________________________________________________________________________________________\n|Pixel Value |Legend  |  Class        | Use               | Category                    | Colour|\n|------------|--------|---------------|-------------------|-----------------------------|-------|\n|2           | Ap     | Anthropogenic | Anthropogenic Use | Cattle farming              |#FFE4B5|\n|3           | FF     | Natural       | NA                | Forest formation            |#228B22|\n|4           | SA     | Natural       | NA                | Park savanna                |#00FF00|\n|5           | SG     | Natural       | NA                | Gramineous savanna          |#CAFF70|\n|7           | aa     | Anthropogenic | NA                | Anthropogenized vegetation  |#EE6363|\n|8           | SF     | Natural       | NA                | Wooded savanna              |#00CD00|\n|9           | Agua   | Natural       | NA                | Water bodies                |#436EEE|\n|10          | Iu     | Anthropogenic | Anthropogenic Use | Urban areas                 |#FFAEB9|\n|11          | Ac     | Anthropogenic | Anthropogenic Use | Crop farming                |#FFA54F|\n|12          | R      | Anthropogenic | Anthropogenic Use | Reforestation               |#68228B|\n|13          | Im     | Anthropogenic | Anthropogenic Use | Mining areas                |#636363|\n</code></pre>\n\n<p>&nbsp;</p>",
    "publication_date": "2020-02-24",
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    "references": [
      {
        "reference": "Embrapa Pantanal, Instituto SOS Pantanal, and WWF-Brasil. 2015. \"Mapeamento da Bacia do Alto Paraguai.\" https://www.embrapa.br/pantanal/bacia-do-alto-paraguai."
      },
      {
        "reference": "Instituto SOS Pantanal, and WWF-Brasil. 2015. Monitoramento das altera\u00e7\u00f5es da cobertura vegetal e uso do Solo na Bacia do Alto Paraguai \u2013 Por\u00e7\u00e3o Brasileira \u2013 Per\u00edodo de An\u00e1lise: 2012 a 2014. 4th ed. Brasilia. https://d3nehc6yl9qzo4.cloudfront.net/downloads/publicacao_bap_relatorio_2012_2014_web.pdf."
      },
      {
        "reference": "R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2019. URL https://www.r-project.org/."
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