Geospatial Analysis of Land Use/Cover Dynamics in Awka Metropolis, Nigeria: A Sub-pixel Approach

Musa, Solomon; Onwuka, S. U.; Eneche, P

doi:10.9734/jgeesi/2017/35209

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the Amazon, where vegetation is abundant and the structure is complex, LSMM was applied to classify vegetation [41] and to accurately estimate forest and savanna biomass [42]. Musa et al [43] and Onwuka et al [44] utilized LSMM to extract the high objectivity of land use and cover change dynamics in Nigeria. Hu et al [45] improved the accuracy of canopy leaf area index estimation in flux tower sites by LSMM.…”

Section: Theoretical Basis Of Lsmmmentioning

confidence: 99%

Improvement of Two Evapotranspiration Estimation Models Using a Linear Spectral Mixture Model over a Small Agricultural Watershed

Jing

Wu³

et al. 2018

Water

View full text Add to dashboard Cite

Accurately measuring regional evapotranspiration (ET) is of great significance for studying global climate change, regional hydrological cycles, and surface energy balance. However, estimating regional ET from mixed vegetation types is still challenging. In this study, the Surface Energy Balance Algorithm for Land (SEBAL) and the Surface Energy Balance System (SEBS) models were applied to estimate surface ET in a small agricultural watershed. Landsat8 satellite images were used as input data to the single-source models. The two models were validated at single point and ecosystem scales. The results showed that both models overestimated ET observations in paddy fields and orange groves but underestimated them in dry farmland. The error was mainly caused by the heterogeneity of the mixed pixels. The linear spectral mixture model and a set of equations were introduced to reduce the simulation error. The revised results showed that the relative precision of SEBAL was improved by 9.87% and 10.06%, respectively. This research is expected to provide new ideas for future development of accurate remote-sensing ET estimations on heterogeneous surfaces.

show abstract

Section: Theoretical Basis Of Lsmmmentioning

confidence: 99%

Improvement of Two Evapotranspiration Estimation Models Using a Linear Spectral Mixture Model over a Small Agricultural Watershed

Jing

Wu³

et al. 2018

Water

View full text Add to dashboard Cite

show abstract

“…Recent studies show that there has been a recent paradigm in the application of GIS-based simulation models in managing flood events even before they occur but as put forward by Bates and DeRoo [9], Drogue, et al [10], Nwilo, et al [11] and Musa, et al [11], this will rely hugely on high quality data, complex modelling and spatial analysis. Such therefore entails an empirical experiment and analysis of different scenarios of flooding before decisions are made and mitigation strategies are developed or updated.…”

Section: Fig 1 Hydrological Observations At Lokoja At the Niger (Tomentioning

confidence: 99%

Flood Vulnerability Assessment of Settlements in the Niger-benue Trough, Central Nigeria

Ifatimehin

Eneche

Ismail

2020

IJECC

View full text Add to dashboard Cite

Flooding has become a household phenomenon, particularly for communities in close proximity or situated in floodplain areas, although only on extreme cases that serious alarms are given. The brunt of this study assessed the flood vulnerability levels of settlements located in the Niger-Benue Trough of Central Nigeria by considering their livelihood assets. Data were sourced via a random administration of questionnaire in 36 communities in the study area earmarked; water level and discharge data obtained; communities were mapped; and remotely sensed data (Spot 5 and the Shuttle Radar Topographic Mission (SRTM) data were retrieved and analyzed using ArcGIS 10.5 and the Statistical Package for Social Sciences (SPSS 25) software. The simulated worst-case scenario of flooding revealed 22 settlements were inundated in the 2019 flood between July – September, covering larger areas before the confluence with more than 50% of the area under the high and moderately high-risk zones. Natural and physical livelihood assets were vulnerable and seriously damaged with indices greater than 3.0, while human, financial and social assets were all below 3.0. Generally, vulnerability index computed for all communities was 2.82, indicating moderate vulnerability of the communities to the flood event of 2019. Also, the Pearson correlation test revealed a strong, positive relationship (r = .769, α = .036) between the level of communities’ flood vulnerability and the livelihood assets in the study. It was therefore recommended that yearly flood events are worth simulating to aid prioritization of decisions and development of a comprehensive flood management plan for the area.

show abstract

“…Infrastructure development is considered one of the key steps toward economic advancement, especially among developing nations seeking to transform their economies from import-dependent to self-reliance. Although economically invaluable, there are ecological problems arising from habitat fragmentation and biodiversity loss due to infrastructural developments of different scales (Collinge, 1996;Mallarach & Marull, 2006;Chang et al, 2012;Yigitcanlar & Lee, 2014;Yigitcanlar & Dizdaroglu, 2015Musa et al, 2017). This include warming air and land surface temperatures, changing precipitation regimes, etc.…”

Section: Introductionmentioning

confidence: 99%

Ecological Connectivity Index Mapping for Green Infrastructure Development in Kaduna State, Northern Nigeria

Ujoh¹,

Eneche²,

Obiegbu³

2018

ENRR

View full text Add to dashboard Cite

Infrastructural development is considered one of the key steps towards economic advancement and prosperity, although the ecological basis of such intent is often not enshrined in the policies of governments, especially in most developing nations. Thus, infrastructural development has further increased fragmentation of ecologically-rich landscapes, causing biodiversity losses, reduced specie richness and diversity and climate change. Hence, the need for green infrastructure development. This study made use of Geographic Information System (GIS) tool to explore areas with high Ecological Connectivity Index (ECI) that could (easily) support green infrastructure development in Kaduna State in the face of climate change impacts which is already ravaging the region. Kaduna State land use/cover map and Aster GDTM elevation data were acquired, processed and analyzed using ArcGIS 10.5 software. A spatial model was developed that made use of the combination of elevation, slope and land use/cover data of the State via Multi-Criteria Evaluation (MCE) to reveal potentially viable and ecologically-rich areas of the State and the most efficient links between such areas. A total distance of 878 kilometers of potential ecological corridors in the study area were mapped and therefore, serve as a base to be considered in embarking on a state-wide green wall infrastructure development program by Kaduna State government. It is however recommended that Kaduna State as well as other state governments, particularly in northern Nigeria, ought to roll-out phased green infrastructure investment program(s), adopt the use of shrubs and trees in building green walls and to localize all the gains of the continental-wide Green Wall initiative as this will further reduce the threats of climate change in the region. The study also recommended the inclusion of other landscape variables/descriptors (e.g. road proximity, soil properties, cultural setting of local communities, etc.) into building a more comprehensive model to strengthen the accuracy of the map and the model presented in this study.

show abstract

Geospatial Analysis of Land Use/Cover Dynamics in Awka Metropolis, Nigeria: A Sub-pixel Approach

Cited by 3 publications

References 0 publications

Improvement of Two Evapotranspiration Estimation Models Using a Linear Spectral Mixture Model over a Small Agricultural Watershed

Improvement of Two Evapotranspiration Estimation Models Using a Linear Spectral Mixture Model over a Small Agricultural Watershed

Flood Vulnerability Assessment of Settlements in the Niger-benue Trough, Central Nigeria

Ecological Connectivity Index Mapping for Green Infrastructure Development in Kaduna State, Northern Nigeria

Contact Info

Product

Resources

About