Open AccessNitrogen Status and Canopy Density Detection of Vegetation Using Multispectral Data
Author(s) -
Oluwole John Pelemo,
Sadioluwa Afolabi,
Maureen Ogoliegbune,
Monisola Awosusi
Publication year - 2021
Publication title -
journal of applied life sciences and environment
Language(s) - English
Resource type - Journals
eISSN - 2784-0379
pISSN - 2784-0360
DOI - 10.46909/journalalse-2021-015
Subject(s) - multispectral image , canopy , nitrogen , environmental science , hectare , vegetation (pathology) , national park , heat stress , multispectral pattern recognition , hydrology (agriculture) , forestry , geography , agronomy , remote sensing , zoology , biology , chemistry , geology , agriculture , medicine , geotechnical engineering , archaeology , organic chemistry , pathology
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 ha, respectively. Heat stress takes place when the regular temperature is above 30 °C, which could slow down plant growth and lead to the threat of deficiency. The heat stress reached a maximum of 40 °C 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.