Application of remote sensing and GIS in land use/land cover mapping and change detection in Shasha forest reserve, Nigeria

Olokeogun, Oluwayemisi Samuel; Iyiola, K.; Iyiola, O. F.

doi:10.5194/isprsarchives-xl-8-613-2014

Cited by 21 publications

(11 citation statements)

References 6 publications

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“…There are about forty communities within and around the forest reserve. The population of these communities range from 200 to 2000 inhabitants (Olokeogun et al, 2014). Shasha Forest Reserve is in the lowland rain forest of South-Western Nigeria.…”

Section: Methodsmentioning

confidence: 99%

“…The average relative humidity is 70% while the mean monthly temperature is 28°C. There are two main seasons in the year, a dry season with dry northeast trade wind which causes Harmattan predominates from November to March, and a rainy season characterized by the South-west monsoon wind which brings rain from April to October (Olokeogun et al ., 2014). The topography of the area is generally undulating, lying at altitude between 90m and 140m above sea level.…”

Section: Methodsmentioning

confidence: 99%

“…The soil of the area were formed from rocks of Pre-Cambrian basement complex formation particularly granites, gneisses, quartz-schist, biotite gneisses and schist. They were formed under moist semi-deciduous forest cover and belong to the major soil group called ferruginous tropical soil (Olokeogun et al, 2014). Data Collection: The logs arranged and set to be taken out of the forest were identified and measured every Monday between December, 2017 and June, 2018 for twenty-eight (28) weeks.…”

Section: Methodsmentioning

confidence: 99%

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Assessment of Timber Resource Exploitation in Shasha Forest Reserve, Osun State, Nigeria: Implication for Sustainable Forestry

Olajiire-Ajayi¹,

Adenuga²,

Olatunji³

et al. 2021

jasem

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Records on rate of timber exploitation are very essential for sustainable forestry. They help in managing the forest sustainably. Therefore, the study collected and analysed data on rate of timber exploitation in Shasha forest reserve in Osun state. Logs arranged and set to be taken out of the forest were identified and measured every Monday between December, 2017 and June, 2018 for twenty-eight (28) weeks. The species and families of logs encountered were identified. A total of 13,944 logs were assessed. Fifteen (15) families belonging to twenty-one (21) species of logs were identified. Result revealed that Sterculiaceae family with five species was the most exploited. Ricinodendron heudelotti has the highest number of exploited logs with overall frequency of 27.71%. Ricinodendron heudelotti had the highest basal area and volume with values of 18018776.71cm² and 113289.36cm³ respectively. The study concludes that the population of Ricinodendron heudelotii tree was high in Shasha forest which made it available for extraction at high rate. The study recommends strict monitoring and enforcement of sustainable forestry laws with regular inventory and up-to-date inventory of timber exploitation rate from the reserve.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Assessment of Timber Resource Exploitation in Shasha Forest Reserve, Osun State, Nigeria: Implication for Sustainable Forestry

Olajiire-Ajayi¹,

Adenuga²,

Olatunji³

et al. 2021

jasem

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“…For example, in Canada [4], for 15 years, plantations in national parks were monitored by remote sensing methods, the impact of anthropogenic and natural impacts on forests was assessed, changes were mapped, and the data formed the basis of the state report on the state of national parks. In Nigeria [8], when mapping forest areas in protected areas, data from remote sensing of land turned out to be irreplaceable when identifying and mapping by means of geographic information systems forest degradation sites associated with human activities and agriculture. Remote sensing data are actively used in monitoring specially protected natural areas in the Moscow region: based on surveys with a difference of 21 years, a change in the ratio of the areas of forests, meadows and other objects of a large reserve was established [13].…”

Section: Literature Review and Methodologymentioning

confidence: 99%

Integration of Remote Sensing Data with Electronic Government Information Resources at the Municipal Level

Tesalovsky¹,

Avdeev²,

Zavarin³

et al. 2020

Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

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The subject of the study is the need and the possibility of using remote sensing data in the absence of reliable information from electronic federal information resources and the geospatial binding of their data with a view to further data integration. The article discusses the main disadvantages and advantages of the use of unmanned aerial vehicles for electronic mapping on the example of lands outside the settlements. For all the advantages of using unmanned aerial vehicles for cartographic support of electronic state information resources, their use is difficult due to the insufficient development of the regulatory framework for their use for aerial photography of the area. With remote sensing, despite the ever-increasing accuracy of the data obtained, it is not yet possible to exclude groundbased measurements. It has been established that, on average, the share of agricultural land registered in the state cadastral registration, the location information of which is contained in the Unified State Register of Property Rights, decreases with distance from the borders of settlements. The use of modern technologies and methods of remote sensing allows solving a range of problems from legal and environmental ones to data exchange and integration with federal, regional and municipal information resources. Keywordsunmanned aerial vehicles, remote sensing of the Earth, Unified State Register of Property Rights, agricultural land, cadastral registration, digital mapping I. However, the active circulation of plots and their use is also characteristic of lands outside the borders of settlements. And, since their location data about all of them can be

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“…Remote sensing technology has been used in the fields of environmental monitoring [6,7,8], land use and land cover (LUCC) change [9,10,11], agricultural applications [12,13,14], military applications [15], and disaster control [16]. As for the research on environment monitoring of mining areas, Singh et al [17] monitored the impact of coal mining and thermal power industry on land use pattern by remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China

Wang

Tan

et al. 2019

IJERPH

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With the exploitation of coalfields, the eco-environment around the coalfields can become badly damaged. To address this issue, “mine greening” has been proposed by the Ministry of Land and Resources of China. The sustainable development of mine environments has now become one of the most prominent issues in China. In this study, we aimed to make use of Landsat 7 ETM+ and Landsat 8 OLI images obtained between 2005 and 2016 to analyze the eco-environment in a coalfield. Land cover was implemented as the basic evaluation factor to establish the evaluation model for the eco-environment. Analysis and investigation of the eco-environment in the Yuxian coalfield was conducted using a novel evaluation model, based on the biological abundance index, vegetation coverage index, water density index, and natural geographical factors. The weight of each indicator was determined by an analytic hierarchy process. Meanwhile, we also used the classic ecological footprint to calculate the ecological carrying capacity in order to verify the effectiveness of the evaluation model. Results showed that the eco-environment index illustrated a slowly increasing tendency over the study period, and the ecological quality could be considered as “good”. The results of the evaluation model showed a strong correlation with the ecological carrying capacity with a correlation coefficient of 0.9734. In conclusion, the evaluation method is a supplement to the time-series quantitative evaluation of the eco-environment, and also helps us to explore the eco-environment in the mining area.

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Application of remote sensing and GIS in land use/land cover mapping and change detection in Shasha forest reserve, Nigeria

Cited by 21 publications

References 6 publications

Assessment of Timber Resource Exploitation in Shasha Forest Reserve, Osun State, Nigeria: Implication for Sustainable Forestry

Assessment of Timber Resource Exploitation in Shasha Forest Reserve, Osun State, Nigeria: Implication for Sustainable Forestry

Integration of Remote Sensing Data with Electronic Government Information Resources at the Municipal Level

Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China

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