Data · dataset · 2025
São Paulo macro-metropolis land cover trajectories from 2005 to 2020.
Listed in Teesside University Research Data Repository
Description
Ferreira et al. 2025 - LC-trajectories 2005-2020.gpkg Data referring to figures 3, S4 and S5 of the paper "Urban boundaries are an underexplored frontier for ecological restoration" (doi.org/10.1038/s41598-025-19699-9) Land cover (LC) data from the eighth collection of MapBiomas were analyzed from 2005 to 2020 and grouped according to seven different trajectories: 1) Anthropic from 2005-2020 (A): Pixel classified as anthropic in all scenes (Grouped as No change between 2005-2020) 2) Old growth forest- from 2005 to 2020 (1V): Pixel classified as old growth vegetation in all scenes (Grouped as No change between 2005-2020) 3) Secondary vegetation-from 2005 to 2020 (2V): Pixel classified as secondary vegetation in all scenes (Grouped as No change between 2005-2020) 4) Deforestation without regeneration (D): Pixel classified as deforestation in any year without any occurrence of regeneration (Grouped as Deforestation without regeneration) 5) Deforestation after regeneration (R-D): Pixel classified as anthropic in 2020 with occurrence of regeneration and deforestation between 2005 and 2020 (Grouped as Deforestation without regeneration) 6) Regeneration (R): Pixel classified as regeneration in any year between 2005-2020, without any occurrence of deforestation, and classified as natural land cover in 2020 (Grouped as Regeneration) 7) Regeneration after deforestation (D-R): Pixel classified as natural land cover in 2020 with occurrence of regeneration and deforestation between 2005 and 2020 (Grouped as Regeneration) 8) No confidence (NoC): Transitions that need more information to be confirmed (Grouped as No confidence) Ferreira et al. 2025 - LC-trajectories 2005-2020_Style.qml Color scheme for the LC-trajectories map
Links
Where it is published
- DOI doi.org/10.17632/4cngm8bv5h.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Urban and regional planning 73%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/4cngm8bv5h.1 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3304 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |