Analysis of the level of urban residential land based on land cover/land use

Author(s):  
kang fengguang

<p>The level of urban residential land has a great relationship with the composition of urban residential land and the urban residential area of human settlements. Urban residential land includes residential land, road land, ancillary facilities and public green land. Geographical information monitoring land cover/land use includes cultivated land, garden land, forest land, grassland, housing construction area, roads, structures, artificial digging land, desert and bare land, and water. The Land cover/land use data and resident population spatialization data based on maps of housing construction areas are this article’s data sources. This article chose urban residential land types and per capita residential land area as an evaluation index system, establish the relationship between residential land indicators and geographical information monitoring indicators, calculate the area of various residential land areas and per capita land area, and follow the "Urban Residential Area Planning and Design Standards", a statistical analysis of the land use of residents in the five-, ten-, and fifteen-minute living quarters. Select a test area from each of the megacities, megacities, large cities, medium cities, and small cities, and use the statistical results to determine the level of urban residential land Perform a comparative evaluation.</p>

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Anup Kumar ◽  
Shishupal Singh ◽  
V.S. Arya

Landuse refers to the use of land by human beings while the land cover refers to the natural cover on land. Landuse and land cover mapping is important for better developmental planning purpose. In the present time remote sensing satellite data, geographical information system (GIS) and global positioning system (GPS) are widely used in mapping of land use and land cover. In the present study landuse and land cover change analysis of southeastern part of Panchkula city have been done using Google Earth satellite data of 2002 and 2018. Satellite data downloaded from Google Earth and geo-referenced in ArcGIS 10.4 software. Landuse and landcover classes had been interpreted and field visit was done at selected location to check the interpreted data. Final maps were prepared and area of landuse and land cover classes were calculated. The study shows that during the year 2002 to 2018 built-up land area increased 95.01Hect, agriculture land area increased 1.24Hect., river course area decreased 20.35 Hect., vacant land area decreased 119.43Hect., park area increased 14.64 Hect., open scrub area decreased 7.82 Hect., road area increased 7.21 Hect.,water body area increased 0.02 Hect. and forest area increased 30.48 Hect. The study can be used for monitoring land use and land cover for planning purpose in the study area.


2020 ◽  
Vol 1 (3) ◽  
pp. 19
Author(s):  
Reinaldi Wangke ◽  
Maxi Tendean ◽  
Helena Sri Sulastriningsih

The increase in population and development activities results in an increase in land use for settlements in an area over a certain period of time. The research objective is to determine changes in residential land in Beo District, Talaud Regency from 2014 to 2019. The research method is descriptive qualitative with an analytical approach using a geographic information system. Based on data processing, the land area for the residential area of Beo District in 2014 was 139.7 Ha and in 2019 it was 149.1 Ha. The results of data analysis show that changes in residential land in Beo District, Talaud Regency from 2014 to 2019 have increased, amounting to 9.4 Ha. The rate of land change for settlements in the Beo sub-district within the 5 year period is still classified as very low.


2012 ◽  
Vol 7 (No. 1) ◽  
pp. 10-17 ◽  
Author(s):  
S. Wijitkosum

Soil erosion has been considered as the primary cause of soil degradation since soil erosion leads to the loss of topsoil and soil organic matters which are essential for the growing of plants. Land use, which relates to land cover, is one of the influential factors that affect soil erosion. In this study, impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand, were investigated by applying remote sensing technique, geographical information system (GIS) and the Universal Soil Loss Equation (USLE). The study results revealed that land use changes in terms of area size and pattern influenced the soil erosion risk in Pa Deng in the 1990–2010 period. The area with smaller land cover obviously showed the high risk of soil erosion than the larger land cover did.


Author(s):  
M. Kaur ◽  
S. Singh ◽  
V. K. Verma ◽  
B. Pateriya

Morphometric analysis is the measurement and mathematical analysis of the landforms. The delineation of drainage system is of utmost importance in understanding hydrological system of an area, water resource management and it's planning in an effective manner. Morphometric analysis and land use change detection of two sub-watersheds namely Kukar Suha and Ratewal of district Shahid Bhagat Singh Nagar, Punjab, India was carried out for quantitative description of drainage and characterisation. The stream order, stream number, stream length, mean stream length, and other morphometric analysis like bifurcation ratio, drainage density, texture, relief ratio, ruggedness number etc. were measured. The drainage pattern of Kukar Suha and Ratewal is mainly dendritic. The agriculture and settlements came up along the drainage network causes the pattern disturbance in the watershed. The study was undertaken to spotlight the morphometric parameters, their impact on the basin and the land use land cover changes occurred over the period of time. Morphometric parameters such as linear aspect, areal aspect and relief aspect of the watershed are computed. The land use/land cover change was extracted from LISS IV Mx + Cartosat1 PAN data. ASTER data is used to prepare DEM (digital elevation model) and geographical information system (GIS) was used to evaluate various morphometric parameters in ArcGIS10 software.


Forest cover in Bengkulu is reduced. Data from WARSI shows, 1990 forest cover areas in the province are approximately 1,009,209 hectares or 50.4 % of the land area reaching 1,979,515 hectares. But now, it is only 685,762 hectares of the area of his blood. That is, the period of 25 years, there is a forest cover decline of 323,447 hectares. Forest and land cover changes are the largest contributor to greenhouse gas emissions. The purpose of this article is to see land cover changes based on carbon stock in the years 2009 and 2018. Model of land cover change based on carbon stock year 2028 and 2038. The method of this research uses the calculation of the Stock Difference Approach with spatial analysis of national land closure of Landsat imagery 2009-2018 and biomass data for forest inventory results Geographic Information System (GIS). The results of this research were the reduced forest area and the change in land use changed from 2009 and 2018. So carbon stock is also increasingly reduced.


2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Yuliana Kristin ◽  
Rommy Qurniati ◽  
Hari Kaskoyo

Wan Abdul Rachman Forest Park (Tahura WAR) has experienced the fluctuations in land cover changes in each year. It caused by the interaction of community in utilization of Tahura WAR. The purpose of this study was to determine the level of interaction by the community around Tahura WAR and the influenced factors of it. The product moment correlation analysis was used to see the real relation between the independent variables (the level of interaction) and the dependent variable (land area, income, and the number of family dependents). The result showed that the interaction of the community in the Tahura WAR was moderate. It included the activity of community-related in utilization, preservation and forest protection. The level of interaction was influenced by the land area and the income level of the respondents. Keywords: interaction, Tahura WAR, land area, income.


2016 ◽  
Vol 9 (1) ◽  
pp. 63-77 ◽  
Author(s):  

Abstract Remote sensing and Geographical Information System (GIS) are the most effective tools in spatial data analysis. Natural resources like land, forest and water, these techniques have proved a valuable source of information generation as well as in the management and planning purposes. This study aims to suggest possible land and forest management strategies in Chakia tahsil based on land use and land cover analysis and the changing pattern observed during the last ten years. The population of Chakia tahsil is mainly rural in nature. The study has revealed that the northern part of the region, which offers for the settlement and all the agricultural practices constitutes nearly 23.48% and is a dead level plain, whereas the southern part, which constitute nearly 76.6% of the region is characterized by plateau and is covered with forest. The southern plateau rises abruptly from the northern alluvial plain with a number of escarpments. The contour line of 100 m mainly demarcates the boundary between plateau and plain. The plateau zone is deeply dissected and highly rugged terrain. The resultant topography comprises of a number of mesas and isolated hillocks showing elevation differences from 150 m to 385 m above mean sea level. Being rugged terrain in the southern part, nowadays human encroachment are taking place for more land for the cultivation. The changes were well observed in the land use and land cover in the study region. A large part of fallow land and open forest were converted into cultivated land.


2020 ◽  
Author(s):  
Dao Huy Giap

Abstract This study was conducted in the Daitu district of Thainguyen, Vietnam during November 2001 to January 2003 to identify and estimate potential areas for aquaculture development in a watershed area by integrating socio-economic and environmental data into a geographical information system (GIS) database. Fourteen base layers were used for land evaluation and grouped into four main land use requirements for aquaculture namely: (1) potential for pond construction (slope, land use type, soil thickness and elevation); (2) soil quality (soil type, texture and pH); (3) water availability (distance to water, water sources and precipitation); and (4) geographical and socio-economic factors (population density, distances to roads, local markets and hatcheries). The study demonstrated the usefulness of GIS modelling to select suitable sites for the development of watershed ponds, and the importance of using the data as a tool for planners to develop strategic plans for aquaculture development. The study indicated that about 4.7% (2,725 ha) of the total land area of 57,618 ha in Daitu district was suitable for watershed pond aquaculture, compared to the existing 404 ha of watershed ponds.


Author(s):  
Felipe Silva de Medeiros ◽  
Joedla Rodrigues de Lima ◽  
Denise Monteiro dos Anjos ◽  
Maria José de Holanda Leite ◽  
Roberta Patrícia de Sousa Silva ◽  
...  

The changes made in the natural dynamics cause risks that influence the equilibrium, terrestrial and atmospheric. The aim of the study was to characterize the land cover and land use of the Espinharas river sub-basin, with emphasis on the Permanent Preservation Areas (APP) and Areas of Restricted Use (ARU). The Sub-basin of rio Espinharas is part of the Northern Country Depression, it has one of the most typical landscapes of the northeastern semi-arid region. For the analyzes, multispectral images of the Landsat 8 OLI satellites were used, from the orbits and points 215/65, 216/64, bands 3, 4 and 5. The delineation of the sub-basin began with obtaining the hydrological attributes in the Software QGIS. For the identification of the areas of land use conflicts in APP and ARU, the map algebra was used to perform an overlay of the land cover and use map with the Map of the APP and ARU, using SIG Idrisi Software. The classes of land use and land cover in the SBH of the Espinharas River has the predominance of the Open Arboreal Shrub Caatinga (OASC) typologies with 2,239.37 km² (68.13%), Closed Arboreal Shrub Caatinga (CASC) with 203.17 km² (6.18%) of the total SBH area. It was also verified that 752.67 km² (22.90%) of the total area corresponds to anthropism. The satellite images allowed to have a clear, comprehensive and current view of the use and land cover of SBH of the river Espinharas. Discrimination, mapping and quantification of land use and land cover areas through the Geographical Information System (IDRISI, QGIS GRASS) classification allowed us to obtain results with greater agility regarding the integration and manipulation of the areas. The data obtained will help recovery plans and planning of the area, since a part of SBH is not complying with the current environmental legislation.


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