Mapping native and non-native vegetation in the Brazilian Cerrado using freely available satellite products
dc.contributor.author | Lewis, K | |
dc.contributor.author | de V Barros, F | |
dc.contributor.author | Cure, MB | |
dc.contributor.author | Davies, CA | |
dc.contributor.author | Furtado, MN | |
dc.contributor.author | Hill, TC | |
dc.contributor.author | Hirota, M | |
dc.contributor.author | Martins, DL | |
dc.contributor.author | Mazzochini, GG | |
dc.contributor.author | Mitchard, ETA | |
dc.contributor.author | Munhoz, CBR | |
dc.contributor.author | Oliveira, RS | |
dc.contributor.author | Sampaio, AB | |
dc.contributor.author | Saraiva, NA | |
dc.contributor.author | Schmidt, IB | |
dc.contributor.author | Rowland, L | |
dc.date.accessioned | 2022-09-08T12:12:12Z | |
dc.date.issued | 2022-01-28 | |
dc.date.updated | 2022-09-08T10:23:37Z | |
dc.description.abstract | Native vegetation across the Brazilian Cerrado is highly heterogeneous and biodiverse and provides important ecosystem services, including carbon and water balance regulation, however, land-use changes have been extensive. Conservation and restoration of native vegetation is essential and could be facilitated by detailed landcover maps. Here, across a large case study region in Goiás State, Brazil (1.1 Mha), we produced physiognomy level maps of native vegetation (n = 8) and other landcover types (n = 5). Seven different classification schemes using different combinations of input satellite imagery were used, with a Random Forest classifier and 2-stage approach implemented within Google Earth Engine. Overall classification accuracies ranged from 88.6-92.6% for native and non-native vegetation at the formation level (stage-1), and 70.7-77.9% for native vegetation at the physiognomy level (stage-2), across the seven different classifications schemes. The differences in classification accuracy resulting from varying the input imagery combination and quality control procedures used were small. However, a combination of seasonal Sentinel-1 (C-band synthetic aperture radar) and Sentinel-2 (surface reflectance) imagery resulted in the most accurate classification at a spatial resolution of 20 m. Classification accuracies when using Landsat-8 imagery were marginally lower, but still reasonable. Quality control procedures that account for vegetation burning when selecting vegetation reference data may also improve classification accuracy for some native vegetation types. Detailed landcover maps, produced using freely available satellite imagery and upscalable techniques, will be important tools for understanding vegetation functioning at the landscape scale and for implementing restoration projects. | en_GB |
dc.description.sponsorship | Shell | en_GB |
dc.description.sponsorship | FAPESP | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.format.extent | 1588- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 12(1), article 1588 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41598-022-05332-6 | |
dc.identifier.grantnumber | NE/S000011/1 | en_GB |
dc.identifier.grantnumber | FAPESP-19/07773-1 | en_GB |
dc.identifier.grantnumber | NE/N014022/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/130748 | |
dc.identifier | ORCID: 0000-0002-1740-930X (Hill, Timothy C) | |
dc.identifier | ORCID: 0000-0002-0774-3216 (Rowland, Lucy) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/35091635 | en_GB |
dc.rights | © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.title | Mapping native and non-native vegetation in the Brazilian Cerrado using freely available satellite products | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-09-08T12:12:12Z | |
dc.identifier.issn | 2045-2322 | |
exeter.article-number | 1588 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.identifier.eissn | 2045-2322 | |
dc.identifier.journal | Scientific Reports | en_GB |
dc.relation.ispartof | Sci Rep, 12(1) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-01-05 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-01-28 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-09-08T12:09:16Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-09-08T12:12:20Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2022-01-28 |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.