Forest Reserves in Southwestern Nigeria have been threatened by urbanization and anthropogenic activities and the rate of deforestation is not known. This study examined the vegetation characteristics of Akure Forest Reserve using optical remote sensing data. It also assessed the changing pattern in the forest reserve between 1986 and 2017. Global Navigation Satellite System (GNSS) receiver was used to capture the location of the prominent settlements that surrounded the Forest Reserve in order to evaluate their effects on the forest. Landsat TM 1986, Landsat ETM+ 2002 and Landsat OLI_TIRS 2017 with 30m resolution were classified to assess the spatio-temporal changing pattern of the forest reserve. The results showed different composition of vegetation, which include undisturbed forest, secondary regrowth and farmlands. The study further revealed that in 1986, 2002 and 2017, undisturbed forest constituted 63.3%, 32.4% and 32.1% of the entire land area respectively, while secondary regrowth occupied 8.3% in 1986, 9.5% in 2002 and 15.6% in 2017. The farmlands had erratic growth between 1986 and 2017. It was 16.9% in 1986, 22.1% in 2002 and 17.5% in 2017. The bare ground exhibited inconsistency in the coverage. In 1986 the areal extent was 11.5%, when it increased to 36% in 2002 and decreased to 31.9% in 2017. In conclusion, the study revealed the extent of forest depletion at Akure Forest Reserve and it is therefore important that the residents, the government and the researchers show major concern about some of the critical factors to human beings that are responsible for forest depletion.
The uneven distribution of health care services in Nigeria had been validated the inequalities in the accessibility and the best of fitness care services rendered to citizens. Basic fitness care offerings continue to be a cardinal responsibility of the authorities for the survival of her citizenry. Mostly in the developing country, the accessibility to these health care centres is poorly understood and underserved by the timing populations. there is a need to apprehend the elements that affect or inhibit health care used and what contributed to the use elements in term of distance from residences to the health care amenities and the thickly populace developed round the facilities. This paper focuses on the acceptable evaluation of spatial distribution of health care facilities and proposed for new health centres in some of catchments location that deserves it primarily based on distance and population figures in Ikorodu Local Community Development Area. It was subdivided into Ibese, Ojubode , Local Govt, Police Post, Ebute , Ogoloto , Tos Benson, Ita Elewa, Sambo , Alagbala and Eyita Area with their two land mass for every the catchment area inside the learn about which covered two Ibese Area, Ojubode Area, Local Govt. Area, Police Post Area, Ebute Area, Ogoloto Area, Tos Benson Area, Ita Elewa, Sambo Area, Alagbala Area and Eyita Area covered 128.585 ha, 59.658 ha, 106.793ha, 99.631ha, 140.803ha, 109.485ha, 131.518 ha, 111.625ha, 155.051 ha, 89.698 ha and 112.907 ha. Based on buffer coverage and population used and it was revealed and proposed new healthcare centres for Ojubode, Local Govt, Ibese, part of Eyita, Sambo,Alagbala and Ogoloto areas maps were produced. The useful geodatabase was created for digital healthcare facility mapping for less difficult replace every time it’s necessary.
Forest vegetal characteristics monitoring has a long tradition records with a success rate ranging from low to medium or high depends on the application at the hands. Details information about the indication of association of phenomena as forest indicators, such forest gap, estate and forest status, provides high spatial resolution images. The aim of this study focuses on combining unmanned Aerial Vehicles (UAVs) and satellite multispectral imaging along side by side to details forest parameter during the seasons. UAVs image at 0.15m appeared more detailed of having features such as rock, road, bare ground, riparian trees among others than that of Landsat OLI image, though the features such as rock, road, bare ground, and riparian forest were also seen on the image but it was poorly seen due to the coarse spatial resolution of 30 m. The 3-Dimensional of UAVs, relief pattern and contour from Shuttle Radar Topography Mission was also compared and this study further demonstrated on the advantages of Unmanned Aerial Vehicle data over established remotely sensed data which includes flying blow the cloud, high spatial resolution, flexibility, inexpensive of data acquisition, time effective, using video footage to detect human activities such as tree flora, burning and logging.
The uneven distribution of health care services in Nigeria had been validated the inequalities in the accessibility and the best of fitness care services rendered to citizens. Basic fitness care offerings continue to be a cardinal responsibility of the authorities for the survival of her citizenry. Mostly in the developing country, the accessibility to these health care centres is poorly understood and underserved by the timing populations. there is a need to apprehend the elements that affect or inhibit health care used and what contributed to the use elements in term of distance from residences to the health care amenities and the thickly populace developed round the facilities. This paper focuses on the acceptable evaluation of spatial distribution of health care facilities and proposed for new health centres in some of catchments location that deserves it primarily based on distance and population figures in Ikorodu Local Community Development Area. It was subdivided into Ibese, Ojubode , Local Govt, Police Post, Ebute , Ogoloto , Tos Benson, Ita Elewa, Sambo , Alagbala and Eyita Area with their two land mass for every the catchment area inside the learn about which covered two Ibese Area, Ojubode Area, Local Govt. Area, Police Post Area, Ebute Area, Ogoloto Area, Tos Benson Area, Ita Elewa, Sambo Area, Alagbala Area and Eyita Area covered 128.585 ha, 59.658 ha, 106.793ha, 99.631ha, 140.803ha, 109.485ha, 131.518 ha, 111.625ha, 155.051 ha, 89.698 ha and 112.907 ha. Based on buffer coverage and population used and it was revealed and proposed new healthcare centres for Ojubode, Local Govt, Ibese, part of Eyita, Sambo,Alagbala and Ogoloto areas maps were produced. The useful geodatabase was created for digital healthcare facility mapping for less difficult replace every time it’s necessary.
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