Land use and cover (LUC) rasters of the São Lourenço River Basin (2002 - 2014)
<p>The LUC dataset of São Lourenço river basin, a major Pantanal wetland contribution area as provided by the 4<sup>th</sup> edition of the <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> (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 São Lourenço 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> is located in the Cerrado Savannah biom in the southeast of the Brazilian state of Mato Grosso.</p> <p>The category names and colors to be associated with the pixel values follow the conventions given by Instituto SOS Pantanal and WWF-Brasil (2015) <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> <p><strong>The original legend from SOS Pantanal</strong></p> <pre><code class="language-markdown"> _______________________________________________________________________________________________ |Pixel Value |Legend | Class | Use | Category | Colour| |------------|--------|---------------|-------------------|-----------------------------|-------| |2 | Ap | Anthropogenic | Anthropogenic Use | Cattle farming |#FFE4B5| |3 | FF | Natural | NA | Forest formation |#228B22| |4 | SA | Natural | NA | Park savanna |#00FF00| |5 | SG | Natural | NA | Gramineous savanna |#CAFF70| |7 | aa | Anthropogenic | NA | Anthropogenized vegetation |#EE6363| |8 | SF | Natural | NA | Wooded savanna |#00CD00| |9 | Agua | Natural | NA | Water bodies |#436EEE| |10 | Iu | Anthropogenic | Anthropogenic Use | Urban areas |#FFAEB9| |11 | Ac | Anthropogenic | Anthropogenic Use | Crop farming |#FFA54F| |12 | R | Anthropogenic | Anthropogenic Use | Reforestation |#68228B| |13 | Im | Anthropogenic | Anthropogenic Use | Mining areas |#636363| </code></pre> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4