Assessment of Vegetation Productivity in the Northern Part of Nigeria

Yelwa, S. A.; Usman, U.

doi:10.4236/ajcc.2017.62018

Cited by 3 publications

(3 citation statements)

References 43 publications

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“…However, the NDVI is a general and most extensively used index (e.g. Eastman & Fulk, 1993;Millington et al, 1994;Chen, 1996;Mas, 1999;Anyamba et al, 2001;Lu et al, 2004;Drissi et al, 2009;Yelwa & Eniolorunda 2012;Bhunia & Shit, 2013;Xue & Su, 2017;Yelwa & Usman, 2017;Yelwa et al, 2019;Abdullahi & Yelwa, 2020).…”

Section: Satelite-based Vegetation Indices Used In Related Studiesmentioning

confidence: 99%

“…This is because it has been experimented successfully in environmental remote sensing analysis for data transformation, information compression, and change detection studies. When PCA is used with standardised principal components in a geographical information systems (GIS) environment, it indicated clearly that the major element of variability is that which occurs spatially (Singh & Harrison, 1985;Eastman & Fulk, 1993;Anyamba et al, 2001;Bhunia & Shit, 2013;Yelwa & Usman, 2017;Yelwa et al, 2019). PCA normally allows any set of original satellite imageries to be transformed to a set of new images (referred to as components) where such component images contain all of the information in the original images entered into such time-series are uncorrelated with one another (Richards, 1984).…”

Section: Satelite-based Vegetation Indices Used In Related Studiesmentioning

confidence: 99%

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Environmental Mapping of Potential Habitats for Anthropod Vectors of Trypanosomiasis in Northern Nigeria

Yelwa¹,

Bilalu²,

Yahuza³

et al. 2021

GEP

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This paper presents analysis of a cost effective methodology using remotely sensed data analysed within a geographical systems (GIS) environment for mapping out potential habitats of anthropod vectors responsible for trypanosomiasis in northern Nigeria. These geographical locations are areas with high population of livestock in Nigeria. Animal Trypanosomiasis is considered as an arthropod-borne viral disease which is endemic in about 37 countries of the sub-Saharan Africa and in particular northern Nigeria. This anthropod-borne viral disease remains a threat to both humans and livestock in many communities, and the outbreak of such diseases is shown to relate to fluctuations in the changing climate mostly experienced whenever there are changes in global precipitation which also relates to changes in sea surface temperatures otherwise known as "El Niňo Southern Oscillations" (ENSO). Monthly Satellite imageries in the form of Normalised Difference Vegetation Index (NDVI) at 250 meters spatial resolution obtained from NASA-MODIS/CMD were subjected to principal component analysis utilizing the standardized principal components within a GIS environment and supplemented with Digital Elevation Model (DEM) data in the analysis. Results from the maps showed that pockets of probable habitats of these anthropod vectors responsible for trypanosomiasis mostly located around forest islands characterized by dry woodland and savanna, and in some cases around gallery forests and few lowland and riverine areas. This study provides baseline information for policy makers in Nigeria and other stakeholders as a cost effective measure for mapping potential habitats for anthropod vectors responsible for trypanosomiasis in Northern Nigeria. Further studies are encouraged so as to clearly understand the magnitude and actual loca-

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Section: Satelite-based Vegetation Indices Used In Related Studiesmentioning

confidence: 99%

Section: Satelite-based Vegetation Indices Used In Related Studiesmentioning

confidence: 99%

Environmental Mapping of Potential Habitats for Anthropod Vectors of Trypanosomiasis in Northern Nigeria

Yelwa¹,

Bilalu²,

Yahuza³

et al. 2021

GEP

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“…They found that it is possible to apply Co-Kriging to determine how climatic variation can change the vegetation in the northern part of Nigeria. [27] identified that geostatistical techniques are methods appropriate to assed the vegetation productivity in the northern part of Nigeria. They used modelling techniques to determine how changes in climate could affect vegetation productivity in the northern part of Nigeria.…”

Section: Introductionmentioning

confidence: 99%

Spatial Modelling of Lead (Pb) Concentration for the Soil in Sokoto Rima Basin, Using Co-Kriging

Usman¹,

Abubakar²

2020

IJSDA

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This study used Geostatistics techniques to find the variability in the concentration of lead (Pb) in Sokoto Rima Basin Region. The concentrations Lead (Pb) were measured and analyzed in one hundred and three (103) different sample points in Sokoto Rima Basin region of Nigeria. The region is characterized as one of the center for agricultural activities in Nigeria. The soil samples were collected from agricultural, industrial and residential areas. The concentrations of heavy Lead (Pb) were measured using Atomic Absorption Spectrometer. The technique of Co-Kriging was used to develop empirical semivariogram model to predict the concentrations of Lead (Pb) in the soil. The result shows that concentrations of Lead (Pb) have exceeded the standard level in the study area. The study revealed that there are extreme concentrations of heavy metals in the central region of the study area.

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Spatio-Temporal Assessment of Vegetation Resource Dynamics in Nigeria from SPOT Satellite Imageries

Yelwa¹,

Sanda²,

Usman³

2019

AJCC

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Vegetation resources in Nigeria are of vital importance for the sustainable development of the country. However, this essential resource is in danger due to the effect of anthropogenic and climate induced impacts. Currently desert encroachment which cuts across the Sahel is affecting most of the states in the northern part of the country particularly the eleven states considered by the Federal Ministry of Environment in Nigeria as the frontline states. Several studies on the Nigerian environment have shown that there are serious threats to the general environment particularly vegetation. Due to population growth and the need for housing as well as the expansion of the over-utilised farmlands across these states, places considered as reserved areas across the country are being exploited to the detriment of the vegetal resources particularly the forest and rangeland areas. This study utilized Idrisi TerrSet (version 18) raster-based remote sensing and GIS software to analyse seventy two (72) dekadal Normalised Vegetation Index (NDVI) imageries from SPOT satellite covering Nigeria in order to assess the anthropogenic and likely climatic impacts on the vegetal resources using the forward t-mode Principal Component Analysis (PCA) with standardised principal components. Results indicated that Component 1 which explains about 69% of the 72 time-series NDVI imageries shows typical vegetation cover over the study area within the time period under study. While component two indicated a cyclic trend differentiating the ENSO events of 1999 and 2009; component three indicated positive anomaly pattern of vegetation NDVI mostly within Sokoto, Kebbi, Kano, Jigawa and the northern parts of Bauchi, Yobe and Borno states. However, Component four imagery indicated a likely link to the 2009 flood that affected Kainji dam and rivers Niger and Benue.

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Assessment of Vegetation Productivity in the Northern Part of Nigeria

Cited by 3 publications

References 43 publications

Environmental Mapping of Potential Habitats for Anthropod Vectors of Trypanosomiasis in Northern Nigeria

Environmental Mapping of Potential Habitats for Anthropod Vectors of Trypanosomiasis in Northern Nigeria

Spatial Modelling of Lead (Pb) Concentration for the Soil in Sokoto Rima Basin, Using Co-Kriging

Spatio-Temporal Assessment of Vegetation Resource Dynamics in Nigeria from SPOT Satellite Imageries

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