Mato Grosso, Brazil, ground reference data for crop years 2005-2013 (Dataset)
dc.contributor.author | Kastens, Jude H. | |
dc.contributor.author | Brown, J. Christopher | |
dc.contributor.author | Coutinho, Alexandre Camargo | |
dc.contributor.author | Bishop, Christopher R. | |
dc.contributor.author | Esquerdo, Júlio César D. M. | |
dc.date.accessioned | 2019-01-29T01:48:12Z | |
dc.date.available | 2019-01-29T01:48:12Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/1808/27652 | |
dc.description | This dataset was prepared for use in MODIS NDVI-based land cover classification for Mato Grosso, Brazil, which is an Amazonian agricultural frontier. Quantification of the displacement of forests by agriculture (horizontal intensification) and the transition of farm fields from single-cropping to double-cropping (vertical intensification) is necessary for understanding the rapid environmental and social changes that are occurring within this globally important region. | en_US |
dc.description.abstract | The points associated with ‘ground reference set 1’ and ‘ground reference set 2’ identify fields where agricultural cover information was obtained by Embrapa through farmer interviews. The points associated with ‘supplemental pasture/cerrado’ were identified using aerial and satellite imagery to provide additional ground reference samples for the pasture/cerrado data class. See the following publication for more information (please cite this reference when using these data):Kastens, J.H., J.C. Brown, A.C. Coutinho, C.R. Bishop, and J.C.D.M. Esquerdo (2017). Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil. PLoS ONE, 12(4): e0176168. DOI: 10.1371/journal.pone.0176168 (https://doi.org/10.1371/journal.pone.0176168 )Annual attributes beginning with ‘plos’ provide a binary indicator for whether or not the sample was used for development of the 14-year Mato Grosso land cover map set described in the PLOS ONE study (1 = used, 0 = not used). For additional information regarding class structure determination and data preparation and filtering, see the following:Brown, J.C., J.H. Kastens, A.C. Coutinho, D.C. Victoria, and C.R. Bishop (2013). Classifying Multiyear Agricultural Land Use Data from Mato Grosso Using Time-Series MODIS Vegetation Index Data. Remote Sensing of Environment, 130(3): 39-50. DOI: 10.1016/j.rse.2012.11.009 (http://dx.doi.org/10.1016/j.rse.2012.11.009) | en_US |
dc.description.sponsorship | Embrapa | en_US |
dc.description.sponsorship | Kansas Biological Survey | en_US |
dc.rights | © 2017 Kastens et al. This is an open access dataset distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | Brazil | en_US |
dc.subject | Agriculture | en_US |
dc.subject | Cerrado | en_US |
dc.subject | Cotton | en_US |
dc.subject | Double-cropping | en_US |
dc.subject | Embrapa | en_US |
dc.subject | Ground reference | en_US |
dc.subject | Mato Grosso | en_US |
dc.subject | Pasture | en_US |
dc.subject | Single-cropping | en_US |
dc.subject | Soybeans | en_US |
dc.title | Mato Grosso, Brazil, ground reference data for crop years 2005-2013 (Dataset) | en_US |
dc.type | Dataset | en_US |
kusw.kuauthor | Brown, J. Christopher | |
kusw.kudepartment | Environmental Studies | en_US |
dc.identifier.doi | 10.17161/1808.27652 | |
dc.rights.accessrights | openAccess | en_US |
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Except where otherwise noted, this item's license is described as: © 2017 Kastens et al. This is an open access dataset distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.