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Nitrogen status and canopy density detection of vegetation using multispectral data

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dc.contributor.author Pelemo, Oluwole John
dc.contributor.author Afolabi, Sadioluwa O.
dc.contributor.author Ogoliegbune, Maureen O.
dc.contributor.author Awosusi, Monisola B.
dc.contributor.author Mephors, Mayowa J.
dc.contributor.author Ayeni, David O.
dc.contributor.author Adamu, Sadiat I.
dc.date.accessioned 2022-04-06T06:07:00Z
dc.date.available 2022-04-06T06:07:00Z
dc.date.issued 2021-07-01
dc.identifier.citation Pelemo, Oluwole John, Sadioluwa O. Afolabi, Maureen O. Ogoliegbune, Monisola B. Awosusi, Mayowa J. Mephors, David O. Ayeni, Sadiat I. Adamu. 2021. “Nitrogen status and canopy density detection of vegetation using multispectral data”. Journal of Applied Life Sciences and Environment 54 (2): 156-165. DOI: 10.46909/journalalse-2021-015. en_US
dc.identifier.uri https://repository.iuls.ro/xmlui/handle/20.500.12811/2263
dc.description.abstract The use of ground-based multispectral data for the evaluation of plant water stress and nitrogen status in Old Oyo national Park, Nigeria was conducted and classification was performed. The active area of nitrogen concentration in hectares was between 0.0 and 0.4. This active area was expressed in hectares (ha) and percentages (%) respectively. From the assessment, 53.52 ha (69%) and 24.29 ha (31%) were recorded at 0.2-0.4 and 0.0-0.2, respectively. Heat stress takes place when the regular temperature is above 30ºC, which could slow down plant growth and lead to the threat of deficiency. The heat stress reached a maximum of 40ºC in this analysis between February and May. The research concluded that the sustainability of crops and trees requires a certain quantity of 69 percent nitrogen and a certain level of wetness for their growth which is between 400 mm and 800 mm rainfall. en_US
dc.language.iso en en_US
dc.publisher "Ion Ionescu de la Brad" University of Life Sciences, Iași en_US
dc.rights Attribution 4.0 International (CC BY 4.0) en_US
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en_US
dc.subject heat stress en_US
dc.subject temperature en_US
dc.subject drought en_US
dc.subject land cover changes en_US
dc.title Nitrogen status and canopy density detection of vegetation using multispectral data en_US
dc.type Article en_US
dc.author.affiliation Oluwole John Pelemo, Sadioluwa O. Afolabi, Maureen O. Ogoliegbune, Mayowa J. Mephors, Forestry Research Institute of Nigeria - Remote Sensing and GIS Section
dc.author.affiliation Monisola B. Awosusi, Sadiat I. Adamu, Forestry Research Institute of Nigeria - Climate Change Section
dc.author.affiliation David O. Ayeni, Forestry Research Institute of Nigeria - Meteorology Section
dc.publicationName Journal of Applied Life Sciences and Environment
dc.volume 54
dc.issue 2
dc.publicationDate 2021
dc.startingPage 156
dc.endingPage 165
dc.identifier.eissn 2784 - 0360
dc.identifier.doi 10.46909/journalalse-2021-015


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Attribution 4.0 International (CC BY 4.0) Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)