Spatio-Temporal Assessment of Vegetation Cover Dynamics in the Kurmi Region of Taraba State, Nigeria

The study was conducted on the Spatio-temporal assessment of vegetation cover dynamics in the Kurmi Region of Taraba State, in the Savannah belt of Nigeria, using remotely sensed satellite data from LANDSAT and the Geographic Information System. The result shows that from 2010 to 2015, there was an increase in none vegetative areas (Builtup, Barren, Rock, sand) by 6.1% and a reduction of vegetation by 6.1%, also from the year 2015 to 2020, there was an increase in the none vegetative areas (Builtup, Barren, Rock, sand) by 17.9% and reduction of vegetation by 17.9%, while from 2010 to 2020 there was an increase in none vegetative areas (Builtup, Barren, Rock, sand) by 24% and reduction of vegetation by 24%. Thus, the results of this study confirm that Spatio-temporal assessment of vegetation cover dynamics using NDVI by LANDSAT TM, ETM+ and OLI data offer an excellent potential tool for characterizing and understanding vegetation changes occurring in transitional areas like the Kurmi region of Taraba State. Furthermore, the study recommended that alternative domestic energy sources, e.g. kerosene, be provided to the low-income earners to avoid over-dependence on fuelwood sourced from deforestation.

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Influence of the Socio-Economic Profile of the Head of Household on Domestic Energy Use for Cooking in the City of Uíge, Angola

Journal of Energy Research and Reviews ◽

10.9734/jenrr/2021/v8i230207 ◽

2021 ◽

pp. 30-43

Author(s):

Monizi Mawunu ◽

Arlete E. T. Miguel ◽

Iracelma J. Bengui ◽

Nsimba F. E. Mawunu ◽

Masidivinga Landu ◽

...

Keyword(s):

Higher Education ◽

High School ◽

Junior High School ◽

Low Income ◽

Junior High ◽

Senior High School ◽

Energy Sources ◽

Household Energy ◽

Domestic Energy ◽

The City

The city of Uíge, capital of the province of Uíge in northern Angola, presents a diversity of lifestyles, socio-economic levels and domestic energy sources for cooking. The present study aimed to identify the different domestic energy sources used in cooking operations in households in the city of Uíge, both in urban and peri-urban areas, as well as the reasons for their choice. By means of a semi-structured survey, 384 heads of households residing in three neighborhoods of the city of Uíge were interviewed, 96 (Kituma), 192 (Papelão) and 96 (Popular No. 1). The majority of households in the city of Uíge are headed by men (75%), 77% in Papelão; 78% in Popular No. 1; 69% in Kituma. 98% of the men are literate, the majority having attended junior or senior-high school (50%) and higher education (34%). Only 84% of female heads of household are literate, 30% have attended junior-high school and 22% adult education. In addition, the majority (55%) of households in the city of Uíge use Liquefied Petroleum Gas (LPG) for cooking. LPG is the main source of domestic energy for public servants (79%) and traders (66%) in the city of Uíge. Firewood is the main (54%) source of domestic energy used by small farmer households. But, 79% of households headed by university students cook mainly with LPG. In addition, 67% of heads of households with senior-high school and 41% with junior-high school use LPG as their main source of household energy. On the other hand, about 60% of illiterate people use wood as their main source of energy. In contrast, none of the head of households with higher education level use firewood to prepare food. Moreover 68% of the respondents’ grill or roast with charcoal because it gives a better taste to the food and 25% of the respondents do so because of culinary or cultural habits. Charcoal is the main energy source (89%) for grilling and roasting. Households that cook with charcoal and firewood spend US$ 59.63 per month compared to US$ 13.24 for those who use LPG. Making modern commercial energy equipment available to all Angolan households would help low-income and poorly educated households to use the clean, modern energy they crave for cooking. Econometric studies should be conducted to estimate the correlation between household energy consumption and the number of inhabitants per household, for example.

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Spatio-temporal assessment of urban environmental conditions in Ranchi Township, India using remote sensing and Geographical Information System techniques

International Journal of Urban Sciences ◽

10.1080/12265934.2013.766501 ◽

2013 ◽

Vol 17 (1) ◽

pp. 117-141 ◽

Cited By ~ 14

Author(s):

Amit Kumar ◽

Arvind Chandra Pandey

Keyword(s):

Remote Sensing ◽

Information System ◽

Geographical Information System ◽

Environmental Conditions ◽

Geographical Information ◽

Spatio Temporal ◽

Temporal Assessment

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Detection and representation of the basic peculiarities of vegetation cover by the mapping method (experience based on a research of goltsy-taiga territories)

Geobotanical mapping ◽

10.31111/geobotmap/2013.32 ◽

2013 ◽

pp. 32-47

Author(s):

S. V. Osipov

Keyword(s):

Vegetation Cover ◽

Mapping Method ◽

Vegetation Changes ◽

Large Classes ◽

High Rise ◽

The Third ◽

Altitudinal Belts ◽

The One ◽

Dynamic Series ◽

River Valleys

Geobotanical mapping of the territory in riverheads Bureya of 4500 sq.km is carried out and the map of a actual vegetation cover of scale 1 : 200 000 is prepared. The legend of the map is presented in the form of the text with three-level hierarchy of classes. At the heart of structure of a legend of the map such regularities of a vegetation cover, as its latitudinal zonality / altitudinal belts, situation in a relief and dynamic series lie. The largest divisions of the legend reflect, first, change of large classes of mesocombinations of vegetation at the level of belts and, secondly, distinction in a boreal - forestry belt between a vegetation cover of tops and slopes of mountains, on the one hand, and the bottoms of river valleys, with another. Divisions of the legend of the second level reflect, first, vegetation changes in the form of high-rise and barrier changes of subbelts, secondly, distinctions of a vegetation cover in different geomorphological conditions (small and average river valleys, northern slopes, etc.). Divisions of the legend of the second level correspond to dynamic series of units of the third level. Essential addition to it are block diagrams of dynamics of a vegetation cover.

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