Data/hora: 15/06/2024 02:46:27

Biblioteca(s): 	Embrapa Solos.	
Data corrente: 	14/02/2022	
Data da última atualização: 	11/03/2022	
Autoria: 	CARVALHO JUNIOR, W. de; BHERING, S. B.; PEREIRA, N. R.; CHAGAS, C. da S.; LOPES, C. H. L.	
Afiliação: 	WALDIR DE CARVALHO JUNIOR, CNPS; SILVIO BARGE BHERING, CNPS; NILSON RENDEIRO PEREIRA, CNPS; CESAR DA SILVA CHAGAS, CNPS; CARLOS HENRIQUE LEMOS LOPES, SEMAGRO-MS.	
Título: 	Legacy data: exploratory analysis to digital soil class mapping.	
Ano de publicação: 	2022	
Fonte/Imprenta: 	In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.	
Idioma: 	Inglês	
Conteúdo: 	The use of legacy data improve the value of these data and promote the input of new data on the database. Also, reduces the primary data collection and analytical procedures. In MS State, the legacy data was 1325 soil profiles. We are looking for correlations with previus soil map, and litology and vegetation maps to reveal the profiles distribution. The DEM and derivatives was used also to compare with the profiles distribution. The spatial distribution of soil profiles follow the categorical maps units occurrence. The statistical values of DEM and slope are not significantly different. The spatial distribution of soil profiles can represent the covariates of the all area and are ready to be used to produce digital soil maps.	
Palavras-Chave: 	Mato Grosso do Sul.	
Thesaurus Nal: 	Databases; Soil; Spatial distribution.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/231276/1/Legacy-data-exploratory-analysis-2022.pdf	
Registro original: 	Embrapa Solos (CNPS)	
Exemplares: 	CNPS - (20998-1) - UPC - AA - DD -  -  -  - DIS