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Relevant bibliographies by topics / Vegetation mapping in Nigeria

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Journal articles

Academic literature on the topic 'Vegetation mapping in Nigeria'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Vegetation mapping in Nigeria"

1

Essien, Etido, and Samimi Cyrus. "Detection of Urban Development in Uyo (Nigeria) Using Remote Sensing." Land 8, no. 6 (2019): 102. http://dx.doi.org/10.3390/land8060102.

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Uyo is one of the fastest-growing cities in Nigeria. In recent years, there has been a widespread change in land use, yet to date, there is no thorough mapping of vegetation change across the area. This study focuses on land use change, urban development, and the driving forces behind natural vegetation loss in Uyo. Based on time series Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM+)/Operational Land Imager (OLI) image data, the relationships between urban land development and its influencing factors from 1985 to 2018 were analyzed using remote sensing (RS) and time series da

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2

Akinsoji, A., P. A. Adeonipekun, T. A. Adeniyi, O. O. Oyebanji, and T. A. Eluwole. "Evaluation and flora diversity of Gashaka Gumti National Park-1, Gashaka Sector, Taraba State, Nigeria." Ethiopian Journal of Environmental Studies and Management 9, no. 6 (2016): 713–37. http://dx.doi.org/10.4314/ejesm.v9i6.5.

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This article has been retracted as requested by the authors owing to an unresolved issue bothering on conflict of interest in the article.The alarming rate of ecosystem degradation in many parts of Nigeria has continued to have significant impacts on the country’s resources, conservation potential, and climate. This pressure led to an ecological and geographical survey in Gashaka Gumti National Park 1, Taraba State, Nigeria in 2013 and 2015 to document the species composition across the different vegetation types and geomorphic gradients, and to assess the vegetation loss between 1991 and 2013

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3

Oluwafemi, Olawale A., Tahir A. Yakubu, Mahmud U. Muhammad, Nyofo Shitta, and Akinola S. Akinwumiju. "Mapping Landslides Susceptibility in a Traditional Northern Nigerian City." Proceedings of the ICA 1 (May 16, 2018): 1–6. http://dx.doi.org/10.5194/ica-proc-1-85-2018.

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As a result of dearth of relevant information about Landslides Susceptibility in Nigeria, the monitoring and assessment appears intractable. Hence, the study developed a Remote Sensing approach to mapping landslides susceptibility, landuse and landcover analysis in Jos South LGA, Plateau State, Nigeria. Field Observation, SPOT 5 2009 and 2012, ASTER DEM 2009, Geological Map 2006, Topographical Map 1966 were used to map Landslide Susceptibility and Landuse /Lancover Analysis in the study area. Geospatial Analytical Operations employed using ArcGIS 10.3 and Erdas Imagine 2014 include Spatial Mod

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4

Ulakpa, R. O. E., V. U. D. Okwu, K. E. Chukwu, and M. O. Eyankware. "LANDSLIDE SUSCEPTIBILITY MODELLING IN SELECTED STATES ACROSS SE. NIGERIA." Environment & Ecosystem Science 4, no. 1 (2020): 23–27. http://dx.doi.org/10.26480/ees.01.2020.23.27.

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Identification and mapping of landslide is essential for landslide risk and hazard assessment. This paper gives information on the uses of landsat imagery for mapping landslide areas ranging in size from safe area to highly prone areas. Landslide mitigation largely depends on the understanding of the nature of the factors namely: slope, soil type, lineament, lineament density, elevation, rainfall and vegetation. These factors have direct bearing on the occurrence of landslide. Identification of these factors is of paramount importance in setting out appropriate and strategic landslides control

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5

Isioye, O. A., E. A. Akomolafe, and U. H. Ikwueze. "ACCURACY ANALYSIS OF SENTINEL 2A AND LANDSAT 8 OLI+ SATELLITE DATASETS OVER KANO STATE (NIGERIA) USING VEGETATION SPECTRAL INDICES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-3/W1-2020 (November 18, 2020): 65–72. http://dx.doi.org/10.5194/isprs-archives-xliv-3-w1-2020-65-2020.

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Abstract. This study explores the capabilities of Sentinel-2 over Landsat-8 Operational Land Imager (OLI) imageries for vegetation monitoring in the vegetated region of Minjibir LGA in Kano State. Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. Vegetation indices, comprising the Normalized Difference Vegetation Index (NDVI), Green Chlorophyll Index (GCI), Leaf Area Index (LAI) and Moisture Stress Index (MSI) were determined for each year. The findings showed an increase in Sentinel 2A value of the vegetation indices with respect to Landsat 8

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6

Abiodun, O. E., and D. J. Akinola. "Mapping the Impact of Land Use and Land Cover Change on Urban Land and Vegetation in Osun State, Nigeria." Nigerian Journal of Environmental Sciences and Technology 3, no. 2 (2019): 317–30. http://dx.doi.org/10.36263/nijest.2019.02.0146.

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Urban expansion along with other changes in land use and land cover is a global phenomenon and most parts of Western Nigeria have experienced tremendous changes in recent past. Osun state, located in Western Nigeria, was originally made up of mostly traditional farming communities. These communities have witnessed rapid urbanisation in the last few decades and most of the communities previously known to be farming communities have transformed to modern well-known cities. This project examines the use of Remote Sensing in mapping of Land Use Land Cover in Osun state over a period of 30 years (1

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7

Umar, H. A., M. F. Abdul Khanan, D. A. Umar, et al. "MAPPING POTENTIAL HABITATS FOR ARTHROPOD VECTORS OF TRYPANOSOMIASIS INFECTION IN NORTHERN NIGERIA: AN INTRODUCTORY SYNTHESIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W9 (October 30, 2018): 147–52. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w9-147-2018.

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<p><strong>Abstract.</strong> This paper presents an introductory synthesis for mapping potential habitats of arthropod vectors responsible for animal trypanosomiasis diseases in Northern Nigeria, where there is high production of livestock. Animal trypanosomiasis is considered an arthropod-borne viral disease which is endemic in 36 countries of sub-Saharan Africa and particularly in northern Nigeria. The disease which is transmitted by the vector tsetse fly remains a threat to both humans and livestock in many rural communities of Nigeria. The outbreak of the disease is know

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8

Abah, Roland Clement, and Brilliant Mareme Petja. "Crop Suitability Mapping for Rice, Cassava, and Yam in North Central Nigeria." Journal of Agricultural Science 9, no. 1 (2016): 96. http://dx.doi.org/10.5539/jas.v9n1p96.

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<p>Agricultural production has contributed over time to food security and rural economic development in developing countries particularly supporting the countryside. Evidence of crop yield decline exist in the Lower River Benue Basin. This was a crop suitability mapping for rice, cassava, and yam to guide policy makers in strategic planning for sustainable agricultural development. Data was collected on various themes including climate, drainage, soil, satellite imagery, and maps. Remote Sensing was used to analyse satellite imagery to produce a digital elevation model, land use and land

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9

Efiong, Joel, Opaminola Nicholas Digha, and Obianuju Emmanuella Asouzu. "Spatial Analysis of Land Surface - Vegetation Relationship in Mountainous Areas of the Tropics Using Srtm-3 Dem." Journal of Geography and Geology 8, no. 2 (2016): 59. http://dx.doi.org/10.5539/jgg.v8n2p59.

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Digital elevation models (DEMs) have shown much potential for use in the extraction of land surface parameters and analysis of the relationship between land surface units and vegetation cover. However, there is lack of studies on the use of SRTM-3 DEM in vegetation studies of mountainous regions. This study is therefore an attempt to relate land surface parameters to vegetation cover in the Obudu mountain region using SRTM-3 DEM and Landsat data. Geomorphometric classification of the land surface was done using an unsupervised ISOCLUST algorithm while vegetation cover classification was done u

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10

Olokeogun, O. S., K. Iyiola, and O. F. Iyiola. "Application of remote sensing and GIS in land use/land cover mapping and change detection in Shasha forest reserve, Nigeria." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 613–16. http://dx.doi.org/10.5194/isprsarchives-xl-8-613-2014.

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Mapping of LULC and change detection using remote sensing and GIS techniques is a cost effective method of obtaining a clear understanding of the land cover alteration processes due to land use change and their consequences. This research focused on assessing landscape transformation in Shasha Forest Reserve, over an 18 year period. LANDSAT Satellite imageries (of 30 m resolution) covering the area at two epochs were characterized into five classes (Water Body, Forest Reserve, Built up Area, Vegetation, and Farmland) and classification performs with maximum likelihood algorithm, which resulted

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