scholarly journals Assessing Urban Land use Change in New Braunfels, Texas from 2013 to 2020

2020 ◽  
Author(s):  
Mayowa Lasode ◽  
Ikechukwu Esobi ◽  
Chijioke Anyanwu ◽  
Damilola Lasode
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
Land Cover ◽  
Urban Development ◽  
Spatial Resolution ◽  
Growth And Development ◽  
Urban Land Use ◽  
Development Economic ◽  
Economic Growth And Development ◽  
The City

Urban cities are the major drivers of economic growth and development. Economic growth and development however results in considerable land cover land use dynamics. This study assessed the dynamics in land cover land use that have occurred in New Braunfels, Texas in the last 7 years (2013 - 2020) to observe areas in the city that had experienced considerable shifts in land cover and land use. A 30-meter resolution Landsat images were used to examine possible changes in land cover land use. New Braunfels was observed to have experienced significant changes in land use especially in developed areas. This change can be attributed to the influx of people into the city, contributing to the need for increased urban development. Analysis of this study shows that about 16% (about 553 hectares) of forest land cover class and 28% (about 1,139 hectares) of grassland class in time 1 (August 31, 2013) changed to built-up land use class in time 2 (November 5, 2020). A limitation to this study was that of the spatial resolution of images used. Higher spatial resolution images could impact the producers, users, and overall accuracy assessment. Results from this study can aid in supporting better decision-making for sustainable urban development and climate change mitigation.

scholarly journals Comprehensive environmental evaluation of an urbanized territory (using the example of Zavodoukovsk city, Russia)

2019 ◽  
Vol 110 ◽  
pp. 02114
Author(s):  
Marina Podkovyrova ◽  
Olga Volobueva ◽  
Larisa Gilyova
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Urban Development ◽  
Comprehensive Evaluation ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Resources ◽  
Environmental Evaluation ◽  
Urbanized Territory ◽  
The City

The article presents the technique and the result of a comprehensive evaluation of urban land use, ensuring the receipt of complete and reliable information about the urban development, socio-economic and environmental conditions of urban land resources that allows forming the maximum possible sustainable development of the city for the future.

scholarly journals GEOSPATIAL TECHNOLOGY BASED SOIL LOSS ESTIMATION FOR SUSTAINABLE URBAN DEVELOPMENT OF BUTWAL SUBMETROPOLITAN CITY, NEPAL

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 137-144
Author(s):  
U. K. Mandal ◽  
K. Kumari
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Urban Development ◽  
Soil Loss ◽  
Urban Land Use ◽  
Sustainable Urban Development ◽  
Lower Percentage ◽  
Significant Difference ◽  
The City ◽  
Soil Unit

Abstract. Geo-spatial technology was attempted to estimate the potential and actual soil loss and its correlative interpretation with physiographic soil units and land use and cover types in Butwal sub-metropolitan city, Central Region of Nepal. Among several empirical and physically based soil erosion models, widely used RKLS and RKLSCP, Revised Universal Soil Loss Equation (RUSLE) were employed to estimate the potential and actual soil loss in the present investigation, respectively. Five years of rainfall, topographic contour-spot height and soil map were basically used as source of information for in-depth investigation. Butwal sub-metropolitan located at foothill of Chure/Siwalik range was found highly sensitive or prone to soil erosion. A total of 32.68 and 1.83 million tons soil was potentially and actually estimated annually being lost from the city. Erosion rates were found highly correlated with the slope of physiographic soil unit. 60.93% of the total potential soil loss was mainly contributed only by physiographic-soil unit 12 with the spatial extent of 34.10% of the city area. This unit was characterized by steeply to very steeply sloping mountainous terrain having dominant slope greater than 30° and loamy skeletal as dominant soil texture. Significant difference was found in the estimation of RKLS and RKLSCP indicating the substantial reduction contribution of soil loss by land use/cover types predominated by forest. after agriculture. Thus physiographic-soil unit 12 having soil loss highest must be given higher priorities for soil conservation and optimum urban land use planning required for sustainable urban development. Lower percentage of actual soil to the potential loss indicated the fact of contribution of cover management and erosional control practice factor in reducing soil erosion in existing situation.

scholarly journals Evaluation of Land Use and Land Cover Change and Its Drivers in Battambang Province, Cambodia from 1998 to 2018

2021 ◽  
Vol 13 (20) ◽  
pp. 11170
Author(s):  
Taingaun Sourn ◽  
Sophak Pok ◽  
Phanith Chou ◽  
Nareth Nut ◽  
Dyna Theng ◽  
...  
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
Land Cover ◽  
Forest Cover ◽  
Agricultural Land ◽  
Development Economic ◽  
Infrastructure Development ◽  
Lulc Change ◽  
Barren Land ◽  
Land Prices

The main objective of this research was to evaluate land use and land cover (LULC) change in Battambang province of Cambodia over the last two decades. The LULC maps for 1998, 2003, 2008, 2013 and 2018 were produced from Landsat satellite imagery using the supervised classification technique with the maximum likelihood algorithm. Each map consisted of seven LULC classes: built-up area, water feature, grassland, shrubland, agricultural land, barren land and forest cover. The overall accuracies of the LULC maps were 93%, 82%, 94%, 93% and 83% for 1998, 2003, 2008, 2013 and 2018, respectively. The LULC change results showed a significant increase in agricultural land, and a large decrease in forest cover. Most of the changes in both LULC types occurred during 2003–2008. Overall, agricultural land, shrubland, water features, built-up areas and barren land increased by 287,600 hectares, 58,600 hectares, 8300 hectares, 4600 hectares and 1300 hectares, respectively, while forest cover and grassland decreased by 284,500 hectares and 76,000 hectares respectively. The rate of LULC changes in the upland areas were higher than those in the lowland areas of the province. The main drivers of LULC change identified over the period of study were policy, legal framework and projects to improve economy, population growth, infrastructure development, economic growth, rising land prices, and climate and environmental change. Landmine clearance projects and land concessions resulted in a transition from forest cover and shrubland to agricultural land. Population and economic growth not only resulted in an increase of built-up area, but also led to increasing demand for agricultural land and rising land prices, which triggered the changes of other LULC types. This research provides a long-term and detailed analysis of LULC change together with its drivers, which is useful for decision-makers to make and implement better policies for sustainable land management.

Optimal Land Use Analysis Using Lindenmayer Grammars

2013 ◽  
Vol 8 (2) ◽  
pp. 163-175
Author(s):  
Urszula Żukowska ◽  
Grażyna Kalewska
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Computer Program ◽  
L System ◽  
L Systems ◽  
The City

In today's world, when it is so important to use every piece of land for a particular purpose, both economically and ecologically, identifying optimal land use is a key issue. For this reason, an analysis of the optimal land use in a section of the city of Olsztyn, using the L-system Urban Development computer program, was chosen as the aim of this paper. The program uses the theories of L-systems and the cartographic method to obtain results in the form of sequences of productions or maps. For this reason, the first chapters outline both theories, i.e. the cartographic method to identify optimal land use and Lindenmayer grammars (called L-systems). An analysis based on a fragment of the map of Olsztyn was then carried out. Two functions were selected for the analysis: agricultural and forest-industrial. The results are presented as maps and sequences in individual steps.

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