Výsledky vyhledávání - "Aigbokhan, O. J."

Akademický článek

ASSESSMENT OF NON-TIMBER FOREST PRODUCTS (NTFPs) AS A SOURCE OF RURAL HOUSEHOLD INCOME IN IDO LOCAL GOVERNMENT, OYO STATE NIGERIA.

Autor: FALANA, A. R., OKE, O. O., OJO-FAKUADE, F., OJEKUNLE, O. O., AIGBOKHAN, O. J., ADEOYE, A. S., ADELUSI, F. T.

Publikováno v: Global Journal of Agricultural Sciences; 2023, Vol. 22 Issue 1, p183-189, 7p

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Analysis of Forest Dynamics using Landscape Metrics and Markov Chain Model in Omo Forest Reserve, Ogun State, Nigeria

Autor: Mshelia, Z. H., Aigbokhan, O. J., Agbor, C. F.

Publikováno v: Journal of Applied Sciences and Environmental Management; Vol. 26 No. 9 (2022); 1565-1573

Forest Canopy density (FCD) is an important index in the assessment and monitoring of forest ecosystems and it is a significant indicator for potential management interventions. The objective of this study was to analyse forest cover and landscape ch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c48cf70a765928a64fa93d526f479994
https://doi.org/10.4314/jasem.v26i9.16

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Land cover accuracy assessment in Okitipupa, Ondo State, Nigeria; application of atmospheric correction and machine learning algorithms

Autor: Aigbokhan, O. J., Ofordu, C. S., Essien, N. E., MbaEssien, N. C.

Publikováno v: Journal of Meteorology and Climate Science; Vol. 21 No. 1 (2022); 29-53

The interaction of solar radiation with the atmosphere causes changes in the solar radiation that the Earth's surface reflects satellite sensors. Therefore, by eliminating air influences from satellite images, applying an atmospheric correction aid i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=78975075580c::901714f61dc1ebe6e8aa4656a371a62d
https://www.ajol.info/index.php/jmcs/article/view/235459

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Impact of Climate Variability on Irrigation Water Needs and Irrigation Schedules of Maize and Cucumber in Aba, Abia State

Autor: Ofordu, C. S., Okoro, E. O., Aigbokhan, O. J., Mba, N. C.

Publikováno v: Nigeria Agricultural Journal; Vol. 53 No. 2 (2022); 311-318

In an attempt to address the discrepancies in the food production and population growth rates in Nigeria, this study estimated the irrigation water requirements of maize and cucumber in Aba, Abia State. Meteorological parameters (rainfall, minimum an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=78975075580c::0451e43cb9296b02edca0cc067933b6e
https://www.ajol.info/index.php/naj/article/view/235600

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Periodical

Analysing the rate of land use and land-cover changes in Gambari Forest Reserve, Nigeria

Autor: Mephors, J. O., Onafeso, O. D., Afolabi, O. S., Aigbokhan, O. J., Adamu, I. S.

Publikováno v: Materials and Geoenvironment; September 2023, Vol. 68 Issue: 2 p91-98, 8p

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Akademický článek

Assessment of Agroforestry Practices in Ago-Owu Forest Reserve, Ayedaade Local Government area, Osun State, South-western Nigeria.

Autor: FALANA, A. R., ADEMIGBUJI, A. T., ODEYALE, O. C., IBODE, T. R., OJOFAKUADE, F. F., BAMIGBOYE, T. O., AIGBOKHAN, O. J.

Publikováno v: Journal of Applied Sciences & Environmental Management; 2022, Vol. 26 Issue 10, p1621-1627, 7p

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Akademický článek

Assessing Image Classification Accuracy with Principal Component Analysis Algorithm Case Study: Odeda LGA of Ogun State, Southwest Nigeria.

Autor: AIGBOKHAN, O. J., ESSIEN, N. E., OGOLIEGBUNE, O. M., AFOLABI, O. S., ADAMU, I. S.

Publikováno v: Journal of Applied Sciences & Environmental Management; 2022, Vol. 26 Issue 5, p851-858, 8p

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Modeling Relationships between Land Surface Temperature and Selected Vegetation Indices using Geo-Spatial Techniques: A Case Study of Oluwa Forest Reserve, Ondo State

Autor: Aigbokhan O. J, Ekundayo A. A, Essien N. E., Ukoha A. P.

This paper tends to explain the application of Remote Sensing (RS) and Geographic Information Systems (GIS) for analysis and monitoring the relationships of land surface temperature (LST) with selected vegetation indices in the area. For mapping purp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eff403181649b6c84322af055466e03e