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Free, open, quantitative and adaptable digital soil map data and database for Nigeria
Nigeria's digital soil map (DSM) and database is the most comprehensive and detailed source of quantitative information on the country's soil distribution. Digital cartography and geographic information system (GIS) operations were methods used in producing the DSM and database. We obtaine...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334409/ https://www.ncbi.nlm.nih.gov/pubmed/32642530 http://dx.doi.org/10.1016/j.dib.2020.105941 |
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author | Nkwunonwo, Ugonna C. Okeke, Francis I. Ebinne, Elijah S. Chiemelu, Ndukwe E. |
author_facet | Nkwunonwo, Ugonna C. Okeke, Francis I. Ebinne, Elijah S. Chiemelu, Ndukwe E. |
author_sort | Nkwunonwo, Ugonna C. |
collection | PubMed |
description | Nigeria's digital soil map (DSM) and database is the most comprehensive and detailed source of quantitative information on the country's soil distribution. Digital cartography and geographic information system (GIS) operations were methods used in producing the DSM and database. We obtained analogue soil data in 8 hard copy maps (each at a displayable scale of 1: 650,000) from the Federal Department of Agricultural Land Resources (FDALR), which archived the result of Nigeria's reconnaissance soil survey. The survey started in 1985 and by 1990; it has completed the compilation of hard copy maps that outline Nigeria's major soil distribution. Our experimental design begins with electronic scanning of these paper maps. We set the scanning system to 500 dpi, creating high-resolution raster images, which were imported into ESRI ArcGIS software, for orthorectification by geo-referencing to WGS 1984 geographic coordinate system. We applied a spatial processing tool on the orthorectified images and created a geometrically-seamless mosaicked raster image for the soil data of the whole Nigeria. Using GIS on-screen digitization – with optimal snapping tolerance – we created vector polygons (spatial data) of soil components (mapping units). Finally, we coded the metadata (attributes) of Nigeria's soil distribution into Microsoft EXCEL spreadsheet, which we linked to the soil spatial data. The combined spatial and attribute soil data forms the soil database for Nigeria and provides, on-demand, vital soil information, such as thematic maps of soil characteristics. The department of Geoinformatics and surveying University of Nigeria, Enugu Campus (UNEC) is the major repository of Nigeria's DSM and database. |
format | Online Article Text |
id | pubmed-7334409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73344092020-07-07 Free, open, quantitative and adaptable digital soil map data and database for Nigeria Nkwunonwo, Ugonna C. Okeke, Francis I. Ebinne, Elijah S. Chiemelu, Ndukwe E. Data Brief Computer Science Nigeria's digital soil map (DSM) and database is the most comprehensive and detailed source of quantitative information on the country's soil distribution. Digital cartography and geographic information system (GIS) operations were methods used in producing the DSM and database. We obtained analogue soil data in 8 hard copy maps (each at a displayable scale of 1: 650,000) from the Federal Department of Agricultural Land Resources (FDALR), which archived the result of Nigeria's reconnaissance soil survey. The survey started in 1985 and by 1990; it has completed the compilation of hard copy maps that outline Nigeria's major soil distribution. Our experimental design begins with electronic scanning of these paper maps. We set the scanning system to 500 dpi, creating high-resolution raster images, which were imported into ESRI ArcGIS software, for orthorectification by geo-referencing to WGS 1984 geographic coordinate system. We applied a spatial processing tool on the orthorectified images and created a geometrically-seamless mosaicked raster image for the soil data of the whole Nigeria. Using GIS on-screen digitization – with optimal snapping tolerance – we created vector polygons (spatial data) of soil components (mapping units). Finally, we coded the metadata (attributes) of Nigeria's soil distribution into Microsoft EXCEL spreadsheet, which we linked to the soil spatial data. The combined spatial and attribute soil data forms the soil database for Nigeria and provides, on-demand, vital soil information, such as thematic maps of soil characteristics. The department of Geoinformatics and surveying University of Nigeria, Enugu Campus (UNEC) is the major repository of Nigeria's DSM and database. Elsevier 2020-06-27 /pmc/articles/PMC7334409/ /pubmed/32642530 http://dx.doi.org/10.1016/j.dib.2020.105941 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Computer Science Nkwunonwo, Ugonna C. Okeke, Francis I. Ebinne, Elijah S. Chiemelu, Ndukwe E. Free, open, quantitative and adaptable digital soil map data and database for Nigeria |
title | Free, open, quantitative and adaptable digital soil map data and database for Nigeria |
title_full | Free, open, quantitative and adaptable digital soil map data and database for Nigeria |
title_fullStr | Free, open, quantitative and adaptable digital soil map data and database for Nigeria |
title_full_unstemmed | Free, open, quantitative and adaptable digital soil map data and database for Nigeria |
title_short | Free, open, quantitative and adaptable digital soil map data and database for Nigeria |
title_sort | free, open, quantitative and adaptable digital soil map data and database for nigeria |
topic | Computer Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334409/ https://www.ncbi.nlm.nih.gov/pubmed/32642530 http://dx.doi.org/10.1016/j.dib.2020.105941 |
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