GIS and remote sensing-based analysis of the impacts of land use/land cover change (LULCC) on the environmental sustainability of Ekiti State, southwestern Nigeria

Olorunfemi, Idowu Ezekiel; Fasinmirin, Johnson Toyin; Olufayo, Ayorinde A.; Komolafe, Akinola Adesuji

doi:10.1007/s10668-018-0214-z

Cited by 81 publications

(44 citation statements)

References 41 publications

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“…Managing land use and mitigating the potential impacts are essential for the sustainable development in this area [91]. During our research period, the artificial surfaces increased rapidly, while the grassland, cultivated land and forest have decreased continuously.…”

Section: Discussionmentioning

confidence: 99%

Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine

Hao

Li³

et al. 2019

Sensors

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Possible environmental change and ecosystem degradation have received increasing attention since the construction of Three Gorges Reservoir Catchment (TGRC) in China. The advanced Google Earth Engine (GEE) cloud-based platform and the large number of Geosciences and Remote Sensing datasets archived in GEE were used to analyze the land use and land cover change (LULCC) and climate variation in TGRC. GlobeLand30 data were used to evaluate the spatial land dynamics from 2000 to 2010 and Landsat 8 Operational Land Imager (OLI) images were applied for land use in 2015. The interannual variations in the Land Surface Temperature (LST) and seasonally integrated normalized difference vegetation index (SINDVI) were estimated using Moderate Resolution Imaging Spectroradiometer (MODIS) products. The climate factors including air temperature, precipitation and evapotranspiration were investigated based on the data from the Global Land Data Assimilation System (GLDAS). The results indicated that from 2000 to 2015, the cultivated land and grassland decreased by 2.05% and 6.02%, while the forest, wetland, artificial surface, shrub land and waterbody increased by 3.64%, 0.94%, 0.87%, 1.17% and 1.45%, respectively. The SINDVI increased by 3.209 in the period of 2000-2015, while the LST decreased by 0.253 °C from 2001 to 2015. The LST showed an increasing trend primarily in urbanized area, with a decreasing trend mainly in forest area. In particular, Chongqing City had the highest LST during the research period. A marked decrease in SINDVI occurred primarily in urbanized areas. Good vegetation areas were primarily located in the eastern part of the TGRC, such as Wuxi County, Wushan County, and Xingshan County. During the 2000–2015 period, the air temperature, precipitation and evapotranspiration rose by 0.0678 °C/a, 1.0844 mm/a, and 0.4105 mm/a, respectively. The climate change in the TGRC was influenced by LULCC, but the effect was limited. What is more, the climate change was affected by regional climate change in Southwest China. Marked changes in land use have occurred in the TGRC, and they have resulted in changes in the LST and SINDVI. There was a significantly negative relationship between LST and SINDVI in most parts of the TGRC, especially in expanding urban areas and growing forest areas. Our study highlighted the importance of environmental protection, particularly proper management of land use, for sustainable development in the catchment.

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Section: Discussionmentioning

confidence: 99%

Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine

Hao

Li³

et al. 2019

Sensors

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“…These needs are satisfied by modern and dynamically developing remote sensing technologies which provide digital data, e.g., satellite images with high spectral, spatial, and temporal resolution and, first of all, at lower costs than those obtained by traditional field measurements [43,44]. Remote sensing data combined with geographic information systems (GIS) enable accurate detection of different categories of LULC, provide detailed and precise information on current and historical land cover, and enable analysis of the dynamics of these changes and reveal the spatial patterns of urban sprawl at different points in time [45][46][47][48]. Especially in countries where the computerisation of the spatial management is at an unsatisfactory level due to the lack of up-to-date and accurate national LULC data, modern and rapidly developing remote sensing and GIS technologies ensure that the infrastructure of digital spatial-temporal land cover data necessary for monitoring urban expansion is maintained [40,[49][50][51][52].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

2021

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Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

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“…The main problem faced by local governments is how to provide the land necessary for economic development without breaking through the threshold of 120M hectares of farmland. In addition to saving land and improving the efficiency of existing land use, the gradual development and utilization of unused land around these cities is a way out of urban space development supported by the local governments (Hang et al, 2009;Liu et al, 2016;Liu and Li, 2014;Liu et al, 2013;Wen et al, Land cover change (LUCC) and evaluate environmental changes (Hassan et al, 2016;Olorunfemi et al, 2018;Zoungrana et al, 2015). Long-term, time-series Satellite images with different spatial resolutions have been successfully used to identify land types via various classification and dynamic change analysis (Green et al, 1994;Liu et al, 2015;Mundia and Aniya, 2005;Niu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Land cover change (LUCC) and evaluate environmental changes (Hassan et al, 2016;Olorunfemi et al, 2018;Zoungrana et al, 2015). Long-term, time-series Satellite images with different spatial resolutions have been successfully used to identify land types via various classification and dynamic change analysis (Green et al, 1994;Liu et al, 2015;Mundia and Aniya, 2005;Niu et al, 2019).…”

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confidence: 99%

Mapping the dynamics of urban land creation from hilltop removing and gulley filling projects in the river-valley city of Lanzhou, China

quanfu

Bei²,

Cheng³

et al. 2021

Preprint

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To expand urban area and protect farmland effectively, Hilltop Removing and Gulley Filling Projects (HRGFP) in the river-valley city of Lanzhou, China have been carried out over the last decades. However, monitoring the dynamic characteristic and scale of the projects and the impact on the local eco-environment caused by HRGFP is necessary. Here, we conducted field investigations and used aerial remote sensing images and the Spatial Expansion Intensity Index (SEII), Terrain Niche Index (TNI), Biophysical Composition Index (BCI), and Remote Sensing Environment Index (RSEI) to monitor the dynamic characteristics of new plots and changes in the local environment. The total area of the new plots from HRGFP around Lanzhou was about 203.18km2 in 1989–2016 with a continuous shift away from the urban area to the low hills, gentle slopes, and gullies in the north, which has greatly enlarged the urban area and increased economic development. We found that the new plots were converted to new forest and grassland in addition to buildings. RSEI indicated that the environment quality improved in 3984 km2 of the study area, or 55.73% of the total area, after a short period of degradation. Our results indicated that HRGFP in Lanzhou have enlarged the urban area and increased economic development, and improved environment under the guidance of the local government.

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GIS and remote sensing-based analysis of the impacts of land use/land cover change (LULCC) on the environmental sustainability of Ekiti State, southwestern Nigeria

Cited by 81 publications

References 41 publications

Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine

Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine

Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Mapping the dynamics of urban land creation from hilltop removing and gulley filling projects in the river-valley city of Lanzhou, China

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