scholarly journals Geo-spatial Assessment of Land Use/Land Cover (LU/LC) Dynamics in Akoko South West Local Government, Ondo State, Nigeria

2021 ◽  
pp. 46-54
Author(s):  
Dada Ibilewa ◽  
Mustapha Aliyu ◽  
Usman O. Alalu ◽  
Taiwo Hassan Abdulrasheed
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Landsat Images ◽  
Rock Outcrops ◽  
Forest Reserve ◽  
Spatial Assessment ◽  
South West ◽  
Moderate Change ◽  
Microsoft Office

Geo-spatial assessment of land use/cover dynamics in Akoko South West Local Government was instigated to bridge the knowledge gap created by data deficiency on the nature, scope and magnitude of land use/cover change in the area. This was done through the analysis of Landsat images of three epochs from 2000 through 2010 to 2020. The processing of the satellite images was done in ArcGIS 10.8 while the analysis and 2030 projection was done in Microsoft office excel using the result from the analysis. QGIS was used to remove the scan lines error on the 2010 image. The result showed increasing built-up area, reducing vegetation and farmlands and diminishing rock outcrops. The changes vary among the different classification characteristics. The increasing change in the second epoch was higher in built up areas while rock outcrops increased in the first epoch. Farmland and vegetation were on reducing trend throughout the study period. However, the moderate change observed in the second epoch for the two land cover classes were not as significant as the first epoch. Government policies on forest reserve should strictly be adhered to in order to preserve the vegetation in the area. People of the area should be advised to diversify their economy in order to avoid total dependence on the forest reserve.

scholarly journals Effects of Land Use and Land Cover Change on Tse Gavar Forest Reserve, Vandeikya Local Government Area, Benue State, Nigeria

2020 ◽  
Vol 2 (1) ◽  
pp. 34-46
Author(s):  
Emmanuel Tertsea Ikyaagba ◽  
Joseph Asen Jande ◽  
Mercy Kpadoo Abiem
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Land Cover Change ◽  
Local Government Area ◽  
Forest Area ◽  
Community Forest ◽  
Remotely Sensed Data ◽  
Forest Reserve ◽  
Bare Land

Forests are considered to be the very basis for human existence as they touch virtually every aspect of human endeavour. Despite the numerous benefits of forests, the world is experiencing unprecedented degradation of forest and its resources; this is mainly attributed to land use and land cover (LULC) change. Therefore, monitoring of these changes has become a necessity. Hence, the use of remotely sensed data in conjunction with GIS for land use and land cover analysis of Tse Gavar community forest in Vandeikya Local Government Area would definitely enhance the available data for sustainable management and promotion of community forest in the State. This study made use of mostly secondary data from pre-existing satellites imageries. The Landsat TM for 1986, Landsat ETM+ for 2001 and 2012 as well as OLI for 2018 images were sourced from the Earthexplorer platform from United States Geological Surveys (USGS), Global Land Cover Facility (GLCF) and GloVis. Images were subjected to various image processing techniques and supervised classification was carried out on the various images. The classification resulted in classes of farmland, other vegetation, forest area and bare land. The percentage of LULC in Tse Gavar Forest Reserve indicated that farmland increased from 5.78% in 1986 to 18.25% in 2018.  Shrubland also increased from 3.06% in 1986 to 21.08% in 2018. Forested area decreased from 84.17% in 1986 to 59.38% in 2018. The magnitude of land use/land cover change within the 32 years period showed that 9.36 Ha of the forest area was lost to other forms of land use, the bare land area lost within the period was 0.09 Ha to other land uses.  Farmland area increased by 4.32 Ha within the period, shrubland increased by 5078.88 km2.  It was established that just like other protected areas, land use and land cover changes are going on in the Tse Gavar community forest reserve. Enrichment planting of the reserve was recommended.

scholarly journals Land Use Land Cover Change Analysis in Fagge Local Government, Kano State from 1991-2019

2020 ◽  
Author(s):  
Al-amin Abbas Ahmad
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Driving Forces ◽  
Urban Expansion ◽  
Land Use Land Cover ◽  
Economic Activities ◽  
Landsat Images ◽  
Change Analysis ◽  
Barren Land

Abstract Land Use and Land Cover (LULC) are important components of the environmental system and changes in it mirror the impacts of human activities on the environment. These impacts needed to be determined in order to get a clear picture of the extent at which different land use practices change over time. This study focused on the Land use and land cover changes of Fagge local government Kano state between 1991 and 2019 and also identify the driving forces of such changes. The data for the study two 30m x 30m Landsat images (Landsat 4&8) of the two years i.e. 2019 and 1991. The two images undergo series of image analysis and classification using ArcGIS 10.7 and ENVI 5.1 and the result where presented in form of maps, charts and tables. The result also shows that the changes that occurred from 1991 to 2019 in Fagge local government to be positive and negative changes. There happen to be a positive in the size of built-up areas in Fagge from 1991 – 2019 with a change of +4.678km2. The vegetation cover experienced a negative change of -8.87km2 while the barren land also had an increase in size with a positive change of +4.199. The data collected from previous studies indicated that the main driving behind the various changes may include; urban expansion, population growth, commercial and economic activities, security, and Government law and policies. It was recommended that Sufficient land use/land cover information should be acquired, Sensitization programs on land use / land cover, Geospatial techniques should be adopted by Government and NGO’s and lastly Government policies should geared to ensuring that there is balance in the utilization of the available land in the country

ASSESSMENT OF VEGETATION COVER CHANGE OF KEBBE FOREST RESERVE, KEBBE LOCAL GOVERNMENT AREA OF SOKOTO STATE, NIGERIA USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (GIS) TECHNIQUES

2021 ◽  
pp. 20-30
Author(s):  
A.S Ambursa ◽  
A Muhammad ◽  
A.G Bello ◽  
H Alhassan ◽  
A Abdulrahman
Keyword(s):  
Land Use ◽  
Local Government ◽  
Land Cover ◽  
Vegetation Cover ◽  
Satellite Image ◽  
Forest Degradation ◽  
Local Government Area ◽  
Forest Reserve ◽  
Deep Forest ◽  
Reserve Forest

This study examined the change in vegetation cover (land use cover) of Kebbe forest reserve, Kebbe local government area of Sokoto state. The research was divided into phases comprising satellite image sourcing; corrections of the images and classification of the land cover types based on the result from the ground truthing of the Kebbe Forest reserve. Two research hypotheses and research objectives were formulated for the study. Satellite images of 5 thematic mapper (TM) of 2003 and 8 operational land imager thermal infrared sensor (OLI-TIRS) of 2018 were selected for this study. The data were haze corrected using pancroma software with the Dark Object Subtraction (DOS) algorithm. The highest increase in area among the LUC between the dates is the shrub land with about 20.42% increase, which is from 138.42 to 881ha and the least being the sparse forest with 1.35% increase, also from 1309.59 to 1359ha of the reserve. On the other hand, the highest decrease was experienced in the deep forest, with 24.89% of the decrease being from 1649.25 to 744ha, and the least being the bare land with 8.73% decrease, which is from 406.71to 89ha of the total reserve area. The results from this study indicate that the reserve of the Kebbe forest is not properly managed, and has also faced high degradation rate that affected the land use and land cover of the reserve. Forest conservation measures should be put in place to salvage the remaining forest land area. Further research into the causes of the forest degradation should be conducted.

scholarly journals Urban Growth and Its Impact on Urban Land Cover Change in Akure South Local Government, Ondo State, Nigeria

2021 ◽  
pp. 32-40
Author(s):  
Dada Ibilewa ◽  
Mustapha Aliyu ◽  
Usman O. Alalu ◽  
Taiwo Hassan Abdulrasheed
Keyword(s):  
Local Government ◽  
Land Cover ◽  
Land Cover Change ◽  
Urban Growth ◽  
Agricultural Land ◽  
Urban Land ◽  
Landsat Images ◽  
Rock Outcrops ◽  
Urban Land Cover ◽  
Urban Land Cover Change

Urban Growth and its Impact on Urban land cover change in Akure South Local Government area was investigated to bridge the knowledge gap created by data deficiency on the nature, scope, and magnitude of urban threat on the land use/land cover type, most especially the agricultural land in the area. This was done through the analysis of Landsat images of three epochs from 2000 through 2010 to 2020. The processing of the satellite images was done in ArcGIS 10.8, while the analysis and 2030 projection were done in Microsoft office excel using the result from the analysis. QGIS was used to remove the scan lines error on the 2010 image. The result showed increasing urban growth (built-up area), reducing vegetation and farmlands, and increasing rock outcrops. The changes vary among the different classification characteristics. Both farmlands and vegetation increased in the first epoch and reduced in the second epoch due to man's urbanization and other socio-economic activities. The increasing change in the second epoch was higher in built-up areas while rock outcrops increased throughout the study period. The research was able to assess the magnitude of farmland and vegetation that have been converted for urban uses over time. It also proved the efficiency of Remote Sensing and GIS technology in urban growth studies.

scholarly journals Historical Changes in Land Use and Suitability for Future Agriculture Expansion in Western Bahia, Brazil

2021 ◽  
Vol 13 (6) ◽  
pp. 1088
Author(s):  
Fernando Martins Pimenta ◽  
Allan Turini Speroto ◽  
Marcos Heil Costa ◽  
Emily Ane Dionizio
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Suitability ◽  
Agricultural Area ◽  
Landsat Images ◽  
Historical Changes ◽  
Cropland Area ◽  
Irrigated Area ◽  
Agriculture Expansion ◽  
Forest Code

Western Bahia is a critical region in Brazil’s recent expansion of agricultural output. Its outstanding increase in production is associated with strong growth in cropland area and irrigation. Here we present analyses of Western Bahian historical changes in land use, including irrigated area, and suitability for future agricultural expansion that respects permanent protection areas and the limits established by the Brazilian Forest Code in the Cerrado biome. For this purpose, we developed a land use and land cover classification database using a random forest classifier and Landsat images. A spatial multicriteria decision analysis to evaluate land suitability was performed by combining this database with precipitation and slope data. We demonstrate that between 1990 and 2020, the region’s total agricultural area increased by 3.17 Mha and the irrigated area increased by 193,480 ha. Throughout the region, the transition between the different classes of land use and land cover followed different pathways and was strongly influenced by land suitability and also appears to be influenced by Brazil’s new Forest Code of 2012. We conclude that even if conservation restrictions are considered, agricultural area could nearly double in the region, with expansion possible mostly in areas we classify as moderately suitable for agriculture, which are subject to climate hazards when used for rainfed crops but are otherwise fine for pastures and irrigated croplands.

scholarly journals IDENTIFYING LAND USE AND LAND COVER (LULC) CHANGE FROM 2000 TO 2025 DRIVEN BY TOURISM GROWTH: A STUDY CASE IN BALI

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1621-1627
Author(s):  
A. B. Rimba ◽  
T. Atmaja ◽  
G. Mohan ◽  
S. K. Chapagain ◽  
A. Arumansawang ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Agricultural Land ◽  
Growth Direction ◽  
Landsat 8 ◽  
Open Area ◽  
Landsat Images ◽  
Lulc Change ◽  
Tourism Activity ◽  
Accuracy Of Prediction

Abstract. Bali has been open to tourism since the beginning of the 20th century and is known as the first tourist destination in Indonesia. The Denpasar, Badung, Gianyar, and Tabanan (Sarbagita) areas experience the most rapid growth of tourism activity in Bali. This rapid tourism growth has caused land use and land cover (LULC) to change drastically. This study mapped the land-use change in Bali from 2000 to 2025. The land change modeller (LCM) tool in ArcGIS was employed to conduct this analysis. The images were classified into agricultural land, open area, mangrove, vegetation/forest, and built-up area. Some Landsat images in 2000 and 2015 were exploited in predicting the land use and land cover (LULC) change in 2019 and 2025. To measure the accuracy of prediction, Landsat 8 OLI images for 2019 were classified and tested to verify the LULC model for 2019. The Multi-Layer Perceptron (MLP) neural network was trained with two influencing factors: elevation and road network. The result showed that the built-up growth direction expanded from the Denpasar area to the neighbouring areas, and land was converted from agriculture, open area and vegetation/forest to built-up for all observation years. The built-up was predicted growing up to 43 % from 2015 to 2025. This model could support decision-makers in issuing a policy for monitoring LULC since the Kappa coefficients were more than 80% for all models.

scholarly journals Application of remote sensing and GIS in land use/land cover mapping and change detection in Shasha forest reserve, Nigeria

2014 ◽  
Vol XL-8 ◽  
pp. 613-616 ◽  
Author(s):  
O. S. Olokeogun ◽  
K. Iyiola ◽  
O. F. Iyiola
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Sustainable Forest Management ◽  
Cost Effective ◽  
Remote Sensing And Gis ◽  
Clear Understanding ◽  
Forest Reserve ◽  
Landsat Satellite

Mapping of LULC and change detection using remote sensing and GIS techniques is a cost effective method of obtaining a clear understanding of the land cover alteration processes due to land use change and their consequences. This research focused on assessing landscape transformation in Shasha Forest Reserve, over an 18 year period. LANDSAT Satellite imageries (of 30 m resolution) covering the area at two epochs were characterized into five classes (Water Body, Forest Reserve, Built up Area, Vegetation, and Farmland) and classification performs with maximum likelihood algorithm, which resulted in the classes of each land use. <br><br> The result of the comparison of the two classified images showed that vegetation (degraded forest) has increased by 30.96 %, farmland cover increased by 22.82 % and built up area by 3.09 %. Forest reserve however, has decreased significantly by 46.12 % during the period. <br><br> This research highlights the increasing rate of modification of forest ecosystem by anthropogebic activities and the need to apprehend the situation to ensure sustainable forest management.

scholarly journals Change Detection Analysis Using Surveying and Geoinformatics Techniques

2018 ◽  
Vol 2 (1) ◽  
pp. 28-38
Author(s):  
I. C. Onuigbo ◽  
J. Y. Jwat
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Research Work ◽  
Temporal Data ◽  
Landsat Images ◽  
Detection Analysis ◽  
Ground Truthing ◽  
Landsat Satellite ◽  
Geoinformatics Techniques

The study was on change detection using Surveying and Geoinformatics techniques. For effective research study, Landsat satellite images and Quickbird imagery of Minna were acquired for three periods, 2000, 2005 and 2012. The research work demonstrated the possibility of using Surveying and Geoinformatics in capturing spatial-temporal data. The result of the research work shows a rapid growth in built-up land between 2000 and 2005, while the periods between 2005 and 2012 witnessed a reduction in this class. It was also observed that change by 2020 may likely follow the trend in 2005 – 2012 all things being equal. Built up area may increase to 11026.456 hectares, which represent 11% change. The study has shown clearly the extent to which MSS imagery and Landsat images together with extensive ground- truthing can provide information necessary for land use and land cover mapping. Attempt was made to capture as accurate as possible four land use and land cover classes as they change through time.

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