| Download | - View final version: A new multi-temporal forest cover classification for the Xingu River Basin, Brazil (PDF, 4.5 MiB)
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| DOI | Resolve DOI: https://doi.org/10.3390/data4030114 |
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| Author | Search for: Kalacska, Margaret; Search for: Lucanus, Oliver; Search for: Sousa, Leandro; Search for: Arroyo-Mora, J. Pablo1ORCID identifier: https://orcid.org/0000-0003-0287-8960 |
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| Affiliation | - National Research Council of Canada. Aerospace
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| Format | Text, Article |
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| Subject | Landsat imagery; land cover change; deforestation; biodiversity; conservation; Xingu River basin |
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| Abstract | We describe a new multi-temporal classification for forest/non-forest classes for a 1.3 million square kilometer area encompassing the Xingu River basin, Brazil. This region is well known for its exceptionally high biodiversity, especially in terms of the ichthyofauna, with approximately 600 known species, 10% of which are endemic to the river basin. Global and regional scale datasets do not adequately capture the rapidly changing land cover in this region. Accurate forest cover and forest cover change data are important for understanding the anthropogenic pressures on the aquatic ecosystems. We developed the new classifications with a minimum mapping unit of 0.8 ha from cloud free mosaics of Landsat TM5 and OLI 8 imagery in Google Earth Engine using a classification and regression tree (CART) aided by field photographs for the selection of training and validation points. |
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| Publication date | 2019-08-01 |
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| Publisher | MDPI |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 4b9a8cd7-405d-4118-9264-bc4ed3348140 |
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| Record created | 2020-11-13 |
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| Record modified | 2022-03-22 |
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