Accounting for alternation in temporal quality analysis in MapBiomas Brazil
Land use and land cover maps are an important resource for understanding interactions between humans and their environment across space and time with current mapping efforts often spanning upwards of 20 years. We present here a new method for a robust assessment of land cover transitions over time a...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2528604 |
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| author | Ana Paula Matos Maria Hunter Robert Gilmore Pontius Luis Rodrigo Baumann Leandro Leal Parente Laerte Guimarães Ferreira |
| author_facet | Ana Paula Matos Maria Hunter Robert Gilmore Pontius Luis Rodrigo Baumann Leandro Leal Parente Laerte Guimarães Ferreira |
| author_sort | Ana Paula Matos |
| collection | DOAJ |
| description | Land use and land cover maps are an important resource for understanding interactions between humans and their environment across space and time with current mapping efforts often spanning upwards of 20 years. We present here a new method for a robust assessment of land cover transitions over time and apply this methodology to the yearly MapBiomas land use land cover maps of Brazil spanning 1985–2022. Based on a reference sample of 85,152 points, we find MapBiomas to have limited accuracy as an indicator of yearly land use change, but consistent over the full mapping period. Alternation, a newly defined error component, captures the number of land use transitions a location experiences throughout time. It is the primary reason for differences in estimates of annual change and is 4.6 times more frequent in the MapBiomas product than reference data. Differences in alternations are particularly prevalent in transitions from pasture to savanna and forest classes. The total land use changes detected over the 37 year study period are consistent between the reference data and the MapBiomas classification with 232 million hectares and 252 million hectares, or 27% and 29% of the Brazilian territory respectively.HIGHLIGHTS 1. We present a new method, Alternation, to measure quality in land cover transitions over time.2. The methodology is applied to MapBiomas land cover maps of Brazil from 1985 to 2022.3. Land cover change is consistent across the full time series, but inconsistent at the annual scale.4. MapBiomas has 4.6 times more annual transitions than the reference data. |
| format | Article |
| id | doaj-art-0cfd8dab5fa8446f909c3f88ef433385 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-0cfd8dab5fa8446f909c3f88ef4333852025-08-25T11:28:53ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-08-0118110.1080/17538947.2025.2528604Accounting for alternation in temporal quality analysis in MapBiomas BrazilAna Paula Matos0Maria Hunter1Robert Gilmore Pontius2Luis Rodrigo Baumann3Leandro Leal Parente4Laerte Guimarães Ferreira5Remote Sensing and GIS Lab (Lapig), Federal University of Goiás (UFG), Goiânia, BrazilRemote Sensing and GIS Lab (Lapig), Federal University of Goiás (UFG), Goiânia, BrazilSchool of Geography, Clark University, Worcester, MA, USAInstitute of Mathematics and Statistics (IME), Federal University of Goiás (UFG), Goiânia, BrazilRemote Sensing and GIS Lab (Lapig), Federal University of Goiás (UFG), Goiânia, BrazilRemote Sensing and GIS Lab (Lapig), Federal University of Goiás (UFG), Goiânia, BrazilLand use and land cover maps are an important resource for understanding interactions between humans and their environment across space and time with current mapping efforts often spanning upwards of 20 years. We present here a new method for a robust assessment of land cover transitions over time and apply this methodology to the yearly MapBiomas land use land cover maps of Brazil spanning 1985–2022. Based on a reference sample of 85,152 points, we find MapBiomas to have limited accuracy as an indicator of yearly land use change, but consistent over the full mapping period. Alternation, a newly defined error component, captures the number of land use transitions a location experiences throughout time. It is the primary reason for differences in estimates of annual change and is 4.6 times more frequent in the MapBiomas product than reference data. Differences in alternations are particularly prevalent in transitions from pasture to savanna and forest classes. The total land use changes detected over the 37 year study period are consistent between the reference data and the MapBiomas classification with 232 million hectares and 252 million hectares, or 27% and 29% of the Brazilian territory respectively.HIGHLIGHTS 1. We present a new method, Alternation, to measure quality in land cover transitions over time.2. The methodology is applied to MapBiomas land cover maps of Brazil from 1985 to 2022.3. Land cover change is consistent across the full time series, but inconsistent at the annual scale.4. MapBiomas has 4.6 times more annual transitions than the reference data.https://www.tandfonline.com/doi/10.1080/17538947.2025.2528604Brazildata qualityland use land covermapbiomastime seriesuncertainty |
| spellingShingle | Ana Paula Matos Maria Hunter Robert Gilmore Pontius Luis Rodrigo Baumann Leandro Leal Parente Laerte Guimarães Ferreira Accounting for alternation in temporal quality analysis in MapBiomas Brazil International Journal of Digital Earth Brazil data quality land use land cover mapbiomas time series uncertainty |
| title | Accounting for alternation in temporal quality analysis in MapBiomas Brazil |
| title_full | Accounting for alternation in temporal quality analysis in MapBiomas Brazil |
| title_fullStr | Accounting for alternation in temporal quality analysis in MapBiomas Brazil |
| title_full_unstemmed | Accounting for alternation in temporal quality analysis in MapBiomas Brazil |
| title_short | Accounting for alternation in temporal quality analysis in MapBiomas Brazil |
| title_sort | accounting for alternation in temporal quality analysis in mapbiomas brazil |
| topic | Brazil data quality land use land cover mapbiomas time series uncertainty |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2528604 |
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