Land use - land cover change and soil-gully erosion relationships: a study of Nanka, SouthEastern Nigeria using geoinformatics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73581122" target="_blank" >RIV/61989592:15310/17:73581122 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-61297-3_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-61297-3_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-61297-3_22" target="_blank" >10.1007/978-3-319-61297-3_22</a>
Alternative languages
Result language
angličtina
Original language name
Land use - land cover change and soil-gully erosion relationships: a study of Nanka, SouthEastern Nigeria using geoinformatics
Original language description
This study aimed at identifying the land use-land cover (LULC) types and their changes by mapping the soil erodibility intensity, and estimating the LULC change caused by soil-gully erosion in Nanka region using geoinformatics tools. Data covering 1991, 2003 and 2015 were acquired from the Global Land Cover Facility (GLCF)-an Earth Science Data Interface, and from the National Space Research and Development Agency, Abuja (NASRDA). In addition, land use-land cover (LULC) data of Nanka and its environs were generated from the local government boundary map and Nigerian Administrative map at 1: 50,000 topographic scale. ENVI (version 4.7), ArcGIS 10.1, the RUSLE model and statistica software packages were used to process and analyse the data. The results revealed that areas with steep slopes have high and severe erosion levels except for Isuofia community which is on steep slope yet, has slight erosion because of the prevalence of dense forest vegetation cover. Integration of Remote Sensing, GIS and the RUSLE model has shown technical benefit, cost-effectiveness with reliable result and should be applied in the future assessment of erosion in Nigeria and other African countries.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50701 - Cultural and economic geography
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Dynamics in GIscience
ISBN
978-3-319-61296-6
Number of pages of the result
15
Pages from-to
305-320
Number of pages of the book
424
Publisher name
Springer International Publishnih AG
Place of publication
Cham
UT code for WoS chapter
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