Data · dataset · 2023
DATA ON LAND DEGRADATION FOR BRAZIL
Listed in Teesside University Research Data Repository
Land degradation is the phenomenon that negatively impacts human populations and ecosystems around the world, resulting in a reduction or loss of the biological or economic productivity and complexity of land.
Description
In order to mitigate this phenomenon, countries of the United Nations have proposed Target 15.3 of the Sustainable Development Goal 15, aiming to combat desertification, restore degraded lands and soils, and strive for a land degradation-neutral world by the year 2030.
The raster data provided here represents areas where there has been a loss of biological or economic productivity between the years 2001 and 2020, contributing to the measurement of land degradation in the country. The methodology is described in "Steps to reproduce" below. The following data is made available here: Product 1: Raster data with the degradation class with clipping for the five administrative regions of Brazil. 30-meter spatial resolution, geographic coordinate system, WGS84 datum.
Read the rest (2 more)
Representation of values in Int16 with compression (reducing its size); Product 2: degraded area calculated by the plugin for each administrative region in Brazil in a spreadsheet (xlsx); Product 3: Vector data (shapefile format) with the calculation of degraded areas in the attribute table for the study areas of the research linked to the Nexus project (Cerrado and Caatinga biomes, São Francisco river basin and transpositions, and some municipalities in the Queimadas region, Petrolina and Barreiras).
Data in the plane coordinate system, Albers equivalent conic projection, SIRGAS 2000 datum. We thanks FAPESP (funding of Projeto Nexus) and CNPQ (funding of research fellowship PIBIC and PCI)
Links
Where it is published
- DOI doi.org/10.17632/nmsf2b9tr7.1 ↗
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 · Geoinformatics · Physical geography and environmental geoscience
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/nmsf2b9tr7.1 | 19 h 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:3704 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Geoinformatics'] |
| concepts[field].anzsrc:group:3709 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Environmental Geoscience'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |