ID persistente do conjunto de dados
|
doi:10.60502/SoilData/SXCSDK |
Data de Publicação
|
2024-12-14 |
Título
| Training Field Soil Data for Annual Mapping of Soil Organic Carbon Stock (0–30 cm) in Brazil, 1985–2023 (MapBiomas Soil Collection 2, Beta Version) |
URL alternativo
| https://github.com/Laboratorio-de-Pedometria/mapbiomas-soc |
Autor
| MapBiomas (MapBiomas) |
Entre em contato
|
Use o botão de e-mail acima para entrar em contato.
MapBiomas (MapBiomas) [en] |
Descrição
| Collection of 12,575 georeferenced points containing field data used to train regression models for mapping soil organic carbon stock (0–30 cm) in Brazil. These data were utilized to prepare the annual maps of soil organic carbon stocks in Collection 2 of the MapBiomas Soil project, covering the period 1985–2023 (beta version). Each record includes spatial and temporal coordinates, the year of soil collection, and the soil organic carbon stock (grams per square meter) calculated for the 0–30 cm soil layer. (2024-12-06)
Detailed description: Soil data were collected from 262 studies published in the Brazilian soil data repository SoilData (https://soildata.mapbiomas.org). After analysis, a total of 250 datasets was selected for the spatial-temporal modeling of soil organic carbon stock. These data represent 15,729 points distributed across Brazil, with information on 29,881 soil layers. Some properties, such as the amount of coarse fragments and soil density, were missing in many samples. These missing values were estimated using statistical models known as pedotransfer functions. After this step, 12,575 points and 19,028 layers from 236 datasets were considered suitable for the spatial-temporal modeling of soil organic carbon stock. To calculate the soil organic carbon stock, the percentage of coarse fragments (% by weight) was converted to volume (% by volume) using a density of 2.65 g/cm³. The soil organic carbon stock (g/m²) for each layer was then calculated using the following equation: carbon content × (1 - coarse fragments) × soil density × layer thickness. For sampling points with multiple layers up to 30 cm depth, the carbon stocks from each layer were summed to obtain the total soil organic carbon stock at the point.
The dataset includes the following columns:
- point_id: An alphanumeric code that identifies the source dataset ("ctb" followed by four numbers, such as ctb0003) and the ID of the soil profile, observation, or sampling point (event) in that dataset.
- latitude and longitude: Decimal geographic coordinates in the WGS84 coordinate reference system (EPSG:4326).
- year: The year of soil collection in the field.
- soc_stock_g_m2: Soil organic carbon stock in grams per square meter (g/m²) in the 0–30 cm layer.
The code used to process the data is available at https://github.com/Laboratorio-de-Pedometria/mapbiomas-soc. (2024-12-06) |
Assunto
| Ciências Agrárias; Ciências da Terra e do meio ambiente |
Palavra-chave
| Soil organic carbon
Topsoil
Brazilian biomes |
Idioma
| English; Portuguese |
Colaborador
| Líder do projeto : Ferreira, Laerte
Líder do projeto : Samuel-Rosa, Alessandro
Líder do projeto : Horst, Taciara Zborowski
Líder do projeto : Shimbo, Julia
Líder do projeto : Rosa, Marcos
Gerenciador de dados : Anjos, Marcos Alexandre dos
Curador de dados : Huf dos Reis, Aline Mari
Coletor de dados : Kerber, Débora Liriel
Coletor de dados : Peruzzi, Vitor
Coletor de dados : Serena, Gabriele Vitória Silva
Coletor de dados : Pretto, Ana Caroline
Coletor de dados : Pontes, David Oliveira
Coletor de dados : Silva, Luciana da Luz
Coletor de dados : Cardoso, Marcos Vinícius Souza
Coletor de dados : Cardoso, Maria Eduarda Ferreira
Curador de dados : Alencastro, Mary Evelyn Santos
Curador de dados : Sobucki, Lisiane
Coletor de dados : Parizzi, Talita
Coletor de dados : Capoane, Viviane
Coletor de dados : Souza, Deórgia
Coletor de dados : Tornquist, Carlos Gustavo
Coletor de dados : Rocha, Anderson Sandro da
Gerenciador de dados : Oliveira, Sergio
Gerenciador de dados : Munsberg, Glauco
Líder do projeto : Azevedo, Tasso |
Data de Distribuição
| 2024-12-06 |
Depositante
| Samuel-Rosa, Alessandro |
Data do depósito
| 2024-12-06 |
Período coberto
| Start Date: 1958 ; End Date: 2023 |
Data de Coleta
| Start Date: 1958 ; End Date: 2023 |
Tipo de dados
| survey data; geo-referenced data; aggregated data; compiled data |