Analysis of Trends in Vegetation Avhrr-Ndvi Data Across Sokoto State 1982 – 1986 Using Remote Sensing and GIS

Yelwa, S. A.; Isah, A. A.

doi:10.4314/njbas.v18i1.56849

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…[12] shows either they covered a section of Nigeria with or without climatic data or a combination of both but never covered Sokoto State. Although [13] studied vegetation trend in Sokoto from 1982 to 1986 and their study utilized a coarse resolution imagery and the time span was limited to 1986. In view of this, the research will bridge the gap in terms of utilizing better spatial and temporal resolution data from MODIS.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Desertification Trend in Sokoto State, Nigeria using Enhanced Vegetation Index (EVI) Imageries from AQUA-MODIS

Ahmad¹

2019

IJRASET

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Extreme Northern part of Sokoto plains is vulnerable to desertification. Consequently, the zone has been designated as fragile due to issues related to desertification, drought, desert e n c r o a c h m e n t , aridity area among others. This h a v e p o p u l a r l y b e e n u s e d to accentuate t h e fac t that t he z o n e is undergoing serious vegetation decline. This study is on the assessment of the trend of desertification in Sokoto state, Nigeria using monthly 250m resolution Enhanced Vegetation Index (EVI) imageries from AQUA-MODIS covering the period 1990 to 2009. The monthly composite imageries were initially recomposed into annual mean composites and finally into quasi-five year periods (

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Section: Introductionmentioning

confidence: 99%

An Assessment of Desertification Trend in Sokoto State, Nigeria using Enhanced Vegetation Index (EVI) Imageries from AQUA-MODIS

Ahmad¹

2019

IJRASET

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Assessment of Vegetation Productivity in the Northern Part of Nigeria

Yelwa¹,

Usman²

2017

AJCC

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Climate change is one of the greatest threats facing the global community and has been mainly induced by increasing atmospheric concentrations of greenhouse gases resulting from fossil fuel energy use and change in vegetation cover. This study used modelling techniques to determine how changes in climate could affect vegetation productivity in the northern part of Nigeria. Climatic parameters (Rainfall, Minimum and Maximum Temperatures) as well as coarse Normalised Difference Vegetation Index (NDVI) data for the growing seasons of 1981-2009 were utilised. Because of the relationship between climatic parameters and vegetation, Spatial method of data interpolation was tested. Results from the prediction elevation values ranged from −3e−9 to 2e−9. It was observed from prediction variance map that the values were higher in the upper portion of the study area which comprised Gusau (GS), Jos (JS), Katsina (KT), Minna (MN) and Zaria (ZR) and lower in the middle and lower parts of the study area which comprised mainly Funtua, Kano, Maiduguri and Sokoto. Further studies are encouraged with high resolution imageries and more meteorological data to cover the montane and forest zone of the country to determine the level of climatic impacts particularly on vegetation productivity in general.

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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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Analysis of Trends in Vegetation Avhrr-Ndvi Data Across Sokoto State 1982 – 1986 Using Remote Sensing and GIS

Cited by 3 publications

References 14 publications

An Assessment of Desertification Trend in Sokoto State, Nigeria using Enhanced Vegetation Index (EVI) Imageries from AQUA-MODIS

An Assessment of Desertification Trend in Sokoto State, Nigeria using Enhanced Vegetation Index (EVI) Imageries from AQUA-MODIS

Assessment of Vegetation Productivity in the Northern Part of Nigeria

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

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