scholarly journals Quantification of Land Cover Changes in Sub-urban Areas of Pekanbaru City

2021 ◽  
Vol 887 (1) ◽  
pp. 012020
Author(s):  
F. Firmansyah ◽  
A. B. Raharja
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Rural Areas ◽  
Economic Activity ◽  
Urban Areas ◽  
The Road ◽  
On The Road ◽  
Urban And Rural Areas ◽  
High Level ◽  
Two Stages

Abstract Morphologically, land cover, urban and rural areas have different characteristics. It is the same as Pekanbaru City area that has unique characteristics including its surrounding regencies. However, the high level of land demand caused by increasing economic activity, high natural and non-natural population growth, makes the morphology of land cover in urban and rural areas unclear. Empirically this beginning to be considered common in urban areas that have a role as a strategic point or center of economic activity, but one of the concerns is the development of unplanned and dominating areas in a space that later create a more fragile environmental conditions in suburban areas. This study aimed to identify changes in land cover and assess the level of conformity of land use in the suburbs of Pekanbaru City. This study used a description method with two stages, (1). Identifying land cover using temporal images, (2). Analyze the level of conformity of land use. The results showed that there are four patterns of land cover change in the suburbs of Pekanbaru City, especially on the road axis connecting the surrounding area. These developments indicate nonconformity of land use which has an impact on the loss of protected land and productive plantation land in the suburbs of Pekanbaru City.

scholarly journals ANALISIS KERAPATAN VEGETASI UNTUK AREA PEMUKIMAN DENGAN MEMANFAATAN CITRA SATELIT LANDSAT DI KOTA TASIKMALAYA

2019 ◽  
Vol 8 (2) ◽  
pp. 78
Author(s):  
Miftah Kurnia Hayu ◽  
Riki Ridwana
Keyword(s):  
Land Use ◽  
Global Warming ◽  
Human Activity ◽  
Rural Areas ◽  
Urban Areas ◽  
Vegetation Index ◽  
Human Life ◽  
Vegetation Density ◽  
Urban And Rural Areas ◽  
High Level

Global warming is an important issue to discuss because it is very impactful to human life, one of the factors influencing increase global warming is decreasing the green vegetation continuously that exist in both urban and rural areas. Especially in urban areas because it is the center of human activity. The high level of human activity centered in the city leads to an increase in the need for land use which will lead to reduced vegetation density levels. Utilization of remote sensing images can be used to determine the density of vegetation in an area. Vegetation density analysis can be done by means of digital imagery intrepetation using the transformation of NDVI (Normalized Different Vegetation Index). The purpose of this research is to know the land use through the calculation of vegetation index of residential area in Tasikmalaya city.

scholarly journals Patterns of Alcohol Consumption in the PURE Poland Cohort Study and Their Relationship with Health Problems

2021 ◽  
Vol 18 (8) ◽  
pp. 4185
Author(s):  
Katarzyna Zatońska ◽  
Piotr Psikus ◽  
Alicja Basiak-Rasała ◽  
Zuzanna Stępnicka ◽  
Maria Wołyniec ◽  
...  
Keyword(s):  
Cohort Study ◽  
Alcohol Consumption ◽  
Rural Areas ◽  
Urban Areas ◽  
Level Of Education ◽  
Adult Participants ◽  
Frequent Consumption ◽  
Urban And Rural Areas ◽  
Socio Demographic Factors ◽  
High Level

(1) Background: Alcohol is a leading risk factor of premature morbidity and mortality. The objective of this study was to investigate the patterns of alcohol consumption in the PURE Poland cohort study baseline. (2) Methods: A Polish cohort was enrolled in the baseline study in 2007–2010. The study group consisted of 2021 adult participants of urban and rural areas from the Lower Silesia voivodeship in Poland (747 men and 1274 women). (3) Results: In the overall study population, 67.3% were current drinkers, 10.3% were former drinkers, and 22.4% were abstainers. Current use of alcohol products was more prevalent in men (77.2%), people living in urban areas (73.0%), and people with a higher level of education (78.0%). The percentage of current drinkers decreased with increasing age (from 73.4% in 30- to 44-year-olds to 48.8% in participants aged 64 and more). The majority of participants (89.2%) declared a low level of alcohol intake. The chance of high level of intake of alcohol was four times higher in men than in women (OR 4.17; CI 1.64–10.6). The majority of participants (54.6%) declared most frequent consumption of low-alcohol drinks (beer, wine) and 21% declared most frequent consumption of spirits. Current drinkers had almost 1.5-fold higher odds of diabetes and cardiovascular diseases (CVD) than never drinkers (OR 1.49, CI 1.03–2.17; OR 1.66, CI 1.27–2.18, respectively). Former drinkers had higher odds for hypertension and CVD than never drinkers (1.73, CI 1.05–2.85; OR 1.76, CI 1.22–2.53, respectively). (4) Conclusions: In our cohort study, we observed several socio-demographic factors differentiating the patterns of alcohol consumption. The preventive programs should focus predominantly on men, people aged <45 years, and those with a higher level of education.

scholarly journals Analyses of Nocturnal Temperature Cooling-Rate Response to Historical Local-Scale Urban Land-Use/Land Cover Change

2011 ◽  
Vol 50 (9) ◽  
pp. 1872-1883 ◽  
Author(s):  
Winston T. L. Chow ◽  
Bohumil M. Svoma
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Cooling Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Local Scale ◽  
Urban Land Use ◽  
Cooling Rates ◽  
Near Surface ◽  
Over Time

AbstractUrbanization affects near-surface climates by increasing city temperatures relative to rural temperatures [i.e., the urban heat island (UHI) effect]. This effect is usually measured as the relative temperature difference between urban areas and a rural location. Use of this measure is potentially problematic, however, mainly because of unclear “rural” definitions across different cities. An alternative metric is proposed—surface temperature cooling/warming rates—that directly measures how variations in land-use and land cover (LULC) affect temperatures for a specific urban area. In this study, the impact of local-scale (<1 km2), historical LULC change was examined on near-surface nocturnal meteorological station temperatures sited within metropolitan Phoenix, Arizona, for 1) urban versus rural areas, 2) areas that underwent rural-to-urban transition over a 20-yr period, and 3) different seasons. Temperature data were analyzed during ideal synoptic conditions of clear and calm weather that do not inhibit surface cooling and that also qualified with respect to measured near-surface wind impacts. Results indicated that 1) urban areas generally observed lower cooling-rate magnitudes than did rural areas, 2) urbanization significantly reduced cooling rates over time, and 3) mean cooling-rate magnitudes were typically larger in summer than in winter. Significant variations in mean nocturnal urban wind speeds were also observed over time, suggesting a possible UHI-induced circulation system that may have influenced local-scale station cooling rates.

scholarly journals The value of OpenStreetMap Historical Contributions as a Source of Sampling Data for Multi‑temporal Land Use/Cover Maps

2019 ◽  
Vol 8 (3) ◽  
pp. 116 ◽  
Author(s):  
Cláudia M. Viana ◽  
Luis Encalada ◽  
Jorge Rocha
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Rural Areas ◽  
Urban Areas ◽  
Coverage Area ◽  
Training Samples ◽  
Spatial Coverage ◽  
Multi Temporal ◽  
One Year ◽  
Thematic Accuracy

OpenStreetMap (OSM) is a free, open-access Volunteered geographic information (VGI) platform that has been widely used over the last decade as a source for Land Use Land Cover (LULC) mapping and visualization. However, it is known that the spatial coverage and accuracy of OSM data are not evenly distributed across all regions, with urban areas being likelier to have promising contributions (in both quantity and quality) than rural areas. The present study used OSM data history to generate LULC datasets with one-year timeframes as a way to support regional and rural multi-temporal LULC mapping. We evaluated the degree to which the different OSM datasets agreed with two existing reference datasets (CORINE Land Cover and the official Portuguese Land Cover Map). We also evaluated whether our OSM dataset was of sufficiently high quality (in terms of both completeness accuracy and thematic accuracy) to be used as a sampling data source for multi-temporal LULC maps. In addition, we used the near boundary tag accuracy criterion to assesses the fitness of the OSM data for producing training samples, with promising results. For each annual dataset, the completeness ratio of the coverage area for the selected study area was low. Nevertheless, we found high thematic accuracy values (ranged from 77.3% to 91.9%). Additionally, the training samples thematic accuracy improved as they moved away from the features’ boundaries. Features with larger areas (> 10 ha), e.g., Agriculture and Forest, had a steadily positive correlation between training samples accuracy and distance to feature boundaries

scholarly journals DYNAMICS OF SPATIO-TEMPORAL URBAN EXPANSION IN SOUTH WEST DELHI REGION: A GEO-SPATIAL APPROACH FOR URBAN DISASTER MANAGEMENT

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 373-379
Author(s):  
N. Sharma ◽  
A. Kaur ◽  
P. Bose
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Natural Resources ◽  
Land Cover Change ◽  
Rural Areas ◽  
Urban Areas ◽  
Urban Expansion ◽  
Urban Disaster ◽  
Spatio Temporal ◽  
The Impact

<p><strong>Abstract.</strong> Constantly increasing population and up-scaling economic growth has certainly contributed to fast-paced urban expansion, but simultaneously, as a result, has developed immense pressure on our natural resources. Among other unfavorable consequences, this has led to significant changes in the land use and land cover patterns in megacities all across the globe. As the impact of uncontrolled and unplanned development continues to alter life patterns, it has become imperative to study severe problems resulting from rapid development and leading to environmental pollution, disruptions in ecological structures, ever increasing pressure on natural resources and recurring urban disasters This paper presents an approach to address these challenges using geospatial data to study the land use and land cover change and the patterns and processes of urban growth. Spatio-temporal changes in land-use/land-cover were assessed over the years using multi-date high resolution satellite data. The land use classification was conducted using visual image interpretation technique wherein, study area was categorized into five different classes based on NRSC classification system namely agricultural, built-up, urban green (forest), and fallow land and water bodies. Post-classification change detection technique was used for the assessment of land-cover change and transition matrices of urban expansion were developed to quantify the changes. The results show that the city has been expanding majorly in its borders, where land masses have been converted from agriculture based rural areas to urban structures. An increase in the built-up category was observed with the transformation of agricultural and marginal land with an approximate change of 8.62% in the peri-urban areas. Urban areas are becoming more densely populated and open barren lands are converted into urban areas due to over population and migration from the rural areas of Delhi and thus increasing threat towards urban disaster. Conservation and sustainable management of various natural resources is recommended in order to minimize the impact of potential urban disasters.</p>

scholarly journals Comprehensive development of the economy of urban and rural areas in Russia

2020 ◽  
Vol 208 ◽  
pp. 04019
Author(s):  
Elena Petrikova ◽  
Iuliia Artamonova ◽  
Nikita Morgunov ◽  
Nikolay Tsveatcov
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Local Population ◽  
High Growth ◽  
Quality Standard ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Comprehensive Development ◽  
Urban And Rural Areas ◽  
High Level

The task of comprehensive development of the economy of rural and urban areas in the regions of Russia to create socio-economic conditions for development in order to reduce population migration, ensure sustainable development of the territory, a high level and quality of life of the local population - is currently one of the priorities for the Russian economy. The study of international experience has shown that the comprehensive development of territories must begin with the construction of infrastructure that allows creating conditions for a high-quality standard of living of citizens. Then it is necessary to form the sectoral structure of the economy of the territory, which should be as diversified as possible in order to stimulate high growth in the level of income of citizens. The article discusses the principles of developing programs for the comprehensive development of the economy of the territory, the size and sources of funding for such events at the federal and regional levels, as well as the stages of implementation of measures, the reasons for the emergence of risks and restrictions that are advisable to take into account when creating comprehensive development programs, the effects at various levels from their implementation. The results obtained can be used in the implementation of the spatial strategy of Russia, taking into account the territorial and sectoral specifics of regional development.

scholarly journals Land use and land cover geoinformation properties and its influence on the landslide susceptibility zonation of road network

2017 ◽  
Author(s):  
Bruno M. Meneses ◽  
Susana Pereira ◽  
Eusébio Reis
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Landslide Susceptibility ◽  
Road Network ◽  
Slope Angle ◽  
Information Value ◽  
Slope Aspect ◽  
The Road ◽  
Landslide Susceptibility Zonation ◽  
On The Road

Abstract. This paper evaluates the influence of land use and land cover (LUC) geoinformation with different properties on landslide susceptibility zonation of the road network in Zêzere watershed (Portugal). The Information Value method was used to assess landslide susceptibility using two models: one including detailed LUC geoinformation (Portuguese Land Cover Map – COS) and other including more generalized LUC geoinformation (Corine Land Cover – CLC). A set of six fixed independent layers were considered as landslide predisposing factors (slope angle, slope aspect, slope curvature, slope over area ratio, soil, and lithology), while COS and CLC were used to find the differences in the landslide susceptibility zonation. A landslide inventory was used as dependent layer, including 259 shallow landslides obtained from photo-interpretation of orthophotos of 2005 and further validated in three sample areas (128 landslides). The landslide susceptibility maps were merged into road network geoinformation, and resulted in two landslide susceptibility road network maps. Models performance was evaluated with success rate curves and area under the curve. Landslide susceptibility results obtained in the two models are very good, but in comparison the model obtained with more detailed LUC geoinformation (COS) produces better results in the landslide susceptibility zonation and on the road network detection with the highest landslide susceptibility. This last map also provides more detailed information about the locals where the next landslides will probably occur with possible road network disturbances.

scholarly journals Data Analysis of Land Use Change and Urban and Rural Impacts in Lagos State, Nigeria

Data ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 72
Author(s):  
Olalekan O. Onilude ◽  
Eric Vaz
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Landscape Metrics ◽  
Rural Areas ◽  
Urban Areas ◽  
Sustainable Land Use ◽  
Lagos State ◽  
Economic Trends ◽  
Urban Rural ◽  
Urban And Rural Areas

This study examines land use change and impacts on urban and rural activity in Lagos State, Nigeria. To achieve this, multi-temporal land use and land cover (LULC) datasets derived from the GlobeLand30 product of years 2000 and 2010 for urban and rural areas of Lagos State were imported into ArcMap 10.6 and converted to raster files (raster thematic maps) for spatial analysis in the FRAGSTATS situated in the Patch Analyst. Thus, different landscape metrics were computed to generate statistical results. The results have shown that fragmentation of cultivated lands increased in the rural areas but decreased in the urban areas. Also, the findings display that land-use change resulted in incremental fragmentation of forest in the urban areas, and reduction in the rural areas. The fragmentation measure of diversity increased in the urban areas, while it decreased in the rural areas during the period of study. These results suggest that cultivated land fragmentation is a complex process connected with socio-economic trends at regional and local levels. In addition, this study has shown that landscape metrics can be used to understand the spatial pattern of LULC change in an urban-rural context. Finally, the outcomes of this study will help the policymakers at the three levels of governments in Nigeria to make crucial informed decisions about sustainable land use.

scholarly journals LAND USE CHANGES IN RURAL TOWN: A CASE STUDY OF KUALA NERANG, KEDAH

2020 ◽  
Vol 18 (11) ◽  
Author(s):  
Abdul Ghapar Othman ◽  
Nurul Hanisah Jizan
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Gis Applications ◽  
Rural Town ◽  
Urban And Rural Areas

Urbanization is the process of transforming a characteristically rural society into an urban one. The urban population is growing at an increasing rate while the rural population is declining, giving rise to imbalances in the development between urban and rural areas. The government’s strategy is to distribute the development to the major settlement centres in the rural areas, which are experiencing the same effects of urbanization as the urban areas in terms of changes to the use of land, especially the reduction of agricultural land and the increase in built-up areas. This study used the method of overlay in GIS applications to investigate land use changes, the speed of urban expansion and direction of development that has taken place from the period 2001 to 2018 in the town of Kuala Nerang, Kedah. This town has undergone a change in its status from a main settlement centre to a district administrative centre. Agricultural lands, which were targeted for development in the rural areas, have been converted into built-up areas. The speed of urban expansion has been slow, although some areas have recorded a higher rate. The development is moving towards the west along the main road connecting the major towns in this part of the state. The functions of the district administrative centre have influenced land use changes.

scholarly journals Effects of different land use and land cover data on the landslide susceptibility zonation of road networks

2019 ◽  
Vol 19 (3) ◽  
pp. 471-487 ◽  
Author(s):  
Bruno M. Meneses ◽  
Susana Pereira ◽  
Eusébio Reis
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Landslide Susceptibility ◽  
Road Network ◽  
Slope Angle ◽  
Information Value ◽  
Slope Aspect ◽  
The Road ◽  
Landslide Susceptibility Zonation ◽  
On The Road

Abstract. This work evaluates the influence of land use and land cover (LUC) data with different properties on the landslide susceptibility zonation of the road network in the Zêzere watershed (Portugal). The information value method was used to assess the landslide susceptibility using two models: one including detailed LUC data (the Portuguese Land Cover Map – COS) and the other including more generalized LUC data (the CORINE Land Cover – CLC). A set of fixed independent layers was considered as landslide predisposing factors (slope angle, slope aspect, slope curvature, slope-over-area ratio, soil, and lithology) while COS and CLC were used to find the differences in the landslide susceptibility zonation. A landslide inventory was used as a dependent layer, including 259 shallow landslides obtained from the photointerpretation of orthophotos from 2005, and further validated in three sample areas. The landslide susceptibility maps were assigned to the road network data and resulted in two landslide susceptibility road network maps. The models' performance was evaluated with prediction and success rate curves and the area under the curve (AUC). The landslide susceptibility results obtained in the two models present a high accuracy in terms of the AUC (>90 %), but the model with more detailed LUC data (COS) produces better results in the landslide susceptibility zonation on the road network with the highest landslide susceptibility.

Sign in / Sign up

Export Citation Format

Share Document