Assessment of changes in land cover long the lower reaches of river Gongola, North East Nigeria

Tukur, AL; Musa, A.A.; Mubi, M

doi:10.4314/gjes.v5i2.2474

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As of 2006, it has a population of 209,460 peoples (NPC, 2006) with the majority of its people being members of the Hausa and Fulani ethnic groups. It has a total land mass of about 3,666 km 2 (Tukur and Musa, 2009). The area is regarded as low lying with about 80% of the entire area being at less than 300m above sea level, while the remaining 20% are hills and mountains.…”

Section: Study Areamentioning

confidence: 99%

Haematobium infection and the predisposing factors in Fufore LGA of Adamawa State

Ballah Ikurhyel Ay,

Agere Hemen,

Ahima Marvin

et al. 2023

Int. J. Biol. Pharm. Sci. Arch.

View full text Add to dashboard Cite

Background & Objectives: Schistosomiasis, is a major health problem in the rural areas of developing countries where there is high water contact activities with fresh water bodies, poor hygienic practices and no portal drinking water. It ranks the second after Malaria with socio-economic and public health importance in the tropics and subtropical regions. To provide information on the prevalence and predisposing factors of Haematobium infection among School-aged children in relation to their age and gender in Fufore LGA. Methods: A cross sectional study was carried out to determine the prevalence of urinary Schistosomiasis and the predisposing factors in Fofure LGA of Adamawa State between October and November 2022 where five Schools were sampled for the study. 300 Students between the ages 0-15 years were randomly selected and grouped into three age groups (0-5, 6-10 and 11-15) respectively. Urine samples were obtained from the students and transferred to New Boshang Hospital Medical Laboratory for parasitological examination. Each were also issued a structured questionnaire so as to obtain their demographic characteristics and to determine the possible risk factors associated with this infection in the case of study. Results: Out of the total 300 Students examined, 113(37.7%) were positive for Schistosoma haematobium and the Males (43.9%) had significantly higher prevalence (P < 0.05) than the Females (30.2%). In respect to age, the age group 11-15 (51.5%) were significantly more infected (P < 0.05) than the younger age groups 0-5 (8.2%) and 6-10 (36.6%) examined. Haematobium infection was observed to be higher in children whose parents were irrigation farmers/ fishermen 173(57.7%) than those whose parents are not. Students whose household monthly income is below N30, 000 were more infected. Those that used well 97(32.3) and streams 123(41.0%) as source of drinking water showed high prevalence than those who use borehole. Students whose water contact activities were for farming/ fishing 201(67.7%) were significantly more infected with haematobium infection (P < 0.05) than those without ant water contact activity. Interpretation and Conclusion: From the result of the study, it’s clear that poverty, ignorance, socio-cultural practice, poor hygienic practices, inadequate toiletry facility are some of the predisposing factors associated with this infection in the study area. Intervention by the relevant authorities are needed to curtail the transmission of this infection. These interventions includes; massive health education, provision of portable drinking water and provision of good sanitary/ toilet facility.

show abstract

Section: Study Areamentioning

confidence: 99%

Haematobium infection and the predisposing factors in Fufore LGA of Adamawa State

Ballah Ikurhyel Ay,

Agere Hemen,

Ahima Marvin

et al. 2023

Int. J. Biol. Pharm. Sci. Arch.

View full text Add to dashboard Cite

show abstract

“…The LC changes along the lower reaches of river Gongola, northeast Nigeria was assessed by Tukur et al, (2002) using 1976 Landsat MSS and SPOT-XS 1994 data. Supervised classification was adopted using maximum likelihood technique and the study revealed that, between 1976 and 1994, the LU and LC such as bare surfaces, cultivated and grazed fields, wood and shrub vegetations were on the increase, while marshy areas and storm channel had reduced.…”

Section: Brief Review Of Related Studymentioning

confidence: 99%

Accuracy assessment between different image classification algorithms using LandSat-7 of Abuja

Ojigi¹

2010

FJOTE

View full text Add to dashboard Cite

What image classification does is to assign pixel to a particular land cover and land use type that has the most similar spectral signature. However, there are possibilities that different methods or algorithms of image classification of the same data set could produce appreciable variant results in the sizes, shapes and areas of the classified polygons, which is capable of misleading the user. This study attempts a comparative analysis of four (4) image classification methods (maximum likelihood, parallepiped minimum distance and fisher's methods) to experiment which method best classifies the 2001 Landsat-7 ETM 345 imagery of part of Abuja Nigeria. The results of the classifications were displayed in qualitative palette of Idrisi-32 and it was discovered that, each cover type which includes, closed canopy vegetation, water, open vegetation, urban built-up, rock outcrops and bare ground were best classified by the maximum likelihood method, followed by the minimum distance method. This conclusion was made based on the prior knowledge of the land cover and land use characteristics in the study area. It is recommended that, this experimental approach be used for different data set from various sensor platforms to provide a standard guideline for specific applications by users in different parts of the world, particularly in Africa where data and the relevant software are often scarce.

show abstract

“…The use of remote sensing and Geographic Information System (GIS) technologies in deforestation studies dates back to the time when the US Military used them to differentiate dead or dying vegetation from living ones and thus detect enemy hideouts in war times (Colvocoresses,1975). Today, these tools are extensively being used for the assessment of the rate and extent of deforestation taking place globally and its complex inter-relationship with other social and economic variables (Mittermier, et al (2004), Chittagon, Bangladesh, Mahmudur, et al, 2000, Tukur, Musa andMubi, 2006). Thus, remote sensing and GIS techniques were applied in the assessment of deforestation in the Fufore area of Nigeria.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Environmental Changes in the Fufore Area of Adamawa State, Nigeria

Ba¹,

Galtima²,

Tukur³

2014

IOSRJESTFT

View full text Add to dashboard Cite

Assessment of changes in land cover long the lower reaches of river Gongola, North East Nigeria

Cited by 3 publications

References 0 publications

Haematobium infection and the predisposing factors in Fufore LGA of Adamawa State

Haematobium infection and the predisposing factors in Fufore LGA of Adamawa State

Accuracy assessment between different image classification algorithms using LandSat-7 of Abuja

Assessment of Environmental Changes in the Fufore Area of Adamawa State, Nigeria

Contact Info

Product

Resources

About