scholarly journals Analisis Perubahan Penggunaan Lahan Sawah dari Tahun 2008 – 2018

LaGeografia ◽  
2021 ◽  
Vol 19 (3) ◽  
pp. 302
Author(s):  
Yurin Bangun ◽  
Bistok Hasiholan Simanjuntak ◽  
Alfred Jansen Sutrisno
Keyword(s):  
Land Use ◽  
Image Interpretation ◽  
Rate Of Change ◽  
National Standard ◽  
Likelihood Method ◽  
Research Approach ◽  
Land Use Classification ◽  
The People ◽  
Paddy Land ◽  
The Stability

Paddy field is a natural resource and have an important role in maintaining the stability of the community's food (rice) production. Banyubiru District is one of the biggest contributors in supplying the rice needs of the people in Semarang Regency. So that the research aims to identify the extent and rate of change in the use of rice fields from 2008 to 2018 in Banyubiru District. The research approach used is based on geographic information systems in analyzing satellite images. The satellite imagery used is multi-resolution imagery such as Landsat 5 TM in 2008, Worldview-2 in 2013, and SPOT 6 in 2018. Image interpretation uses a pixel-based classification method with the maximum likelihood method and on-screen digitization found in ENVI 5.3 and ArcGis software. 10.8. The land use classification system used refers to following the Indonesian National Standard 7654: 201. The results of the study explained that there had been a change in the area of paddy land use in the Banyubiru District from 2008 to 2013 of 68 ha and from 2013 to 2018 of 65 ha. In addition, the rate of land use change from 2008 to 2018 was 14.78 ha / year, so this event can be categorized as a class of rapid land change rate.

scholarly journals Impact of county-scale land use change on the value of ecosystem services: A case study in Nanping, Fujian, China

2021 ◽  
Vol 248 ◽  
pp. 01027
Author(s):  
LiLi Zhao
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Ecosystem Service ◽  
Land Use Changes ◽  
Satellite Image ◽  
Image Interpretation ◽  
Land Use Classification ◽  
Land Use Types ◽  
New Type ◽  
The Impact

With the changing behavior of land use by explosive population growth, the ecological environment is constantly disturbed and destroyed by humans, and the value of ecosystem services is obviously degraded. After the introduction of the national new-type urbanization plan, counties have become the key areas to promote new-type urbanization, and county land use is exceptionally active. Therefore, it is especially urgent to grasp the impact of county land use changes on ecosystem service values. Based on remote sensing satellite image interpretation to obtain county land use classification data, the changes of ecosystem service values in County between 1995 and 2015 were thoroughly explored. The research results show that the total value of ecosystem services has increased in most regions during the 20 years, among which, the service value of Shunchang County has increased most significantly. In terms of the service values of different land use types in each region, woodland is the main contributor to ecological services in different regions. From different time periods, Jian’ou City had the highest value of woodland ecosystem services in 1995 and 2015. In contrast, Songxi County had a lower value of services for each ecosystem type during 20 years.

scholarly journals Multidimensional Analysis of the Spatiotemporal Variations in Ecological, Production and Living Spaces of Inner Mongolia and an Identification of Driving Forces

2020 ◽  
Vol 12 (19) ◽  
pp. 7964
Author(s):  
Zhenhua Dong ◽  
Jiquan Zhang ◽  
Alu Si ◽  
Zhijun Tong ◽  
Li Na
Keyword(s):  
Land Use ◽  
Inner Mongolia ◽  
Driving Forces ◽  
Evaluation Index System ◽  
Multidimensional Analysis ◽  
National Standard ◽  
Land Use Classification ◽  
Coordinated Development ◽  
Difficult Challenge ◽  
Space Production

There is increasing focus on the difficult challenge of realizing coordinated development of production, living and ecological spaces within the regional development process. An ecological–production–living space evaluation index system was established in this study based on the concept of ecological, production and living spaces (EPLSs), the relationship between land use function and land use type and the national standard of land use classification. The aim of this study was to reveal the driving forces and patterns of variation in EPLSs in Inner Mongolia from 1990 to 2015. The results indicated that Inner Mongolia is mainly dominated by ecological space, followed by production space. Production and living spaces are mainly distributed to the south of the Greater Hinggan–Yinshan–Helan mountain ranges. Spatial changes in EPLSs were accelerated with prominent regional differences, with declining ecological area and increasing living and production spaces. Regional urbanization and industrialization were identified as the driving forces for change in EPLS in Inner Mongolia. It is hoped that the findings of this study can provide rational guidance for management of land use and coordinated development of EPLSs within Inner Mongolia.

Land Use Classification Based on Maximum Likelihood Method

2021 ◽  
pp. 133-139
Author(s):  
Fengna Liang ◽  
Xiufang Zhang ◽  
Hui Li ◽  
Hua Yu ◽  
Qiuyan Lin ◽  
...  
Keyword(s):  
Land Use ◽  
Maximum Likelihood ◽  
Maximum Likelihood Method ◽  
Likelihood Method ◽  
Land Use Classification

scholarly journals Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan

2021 ◽  
Vol 13 (9) ◽  
pp. 4933
Author(s):  
Saimar Pervez ◽  
Ryuta Maruyama ◽  
Ayesha Riaz ◽  
Satoshi Nakai
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Urban Areas ◽  
Industrial Development ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Land Use Classification ◽  
Land Use Regression ◽  
Air Exposure

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.

scholarly journals A Comparative Analysis of Spatial Data and Land Use/Land Cover Classification in Urbanized Areas and Areas Subjected to Anthropogenic Pressure for the Example of Poland

2021 ◽  
Vol 13 (6) ◽  
pp. 3070
Author(s):  
Patrycja Szarek-Iwaniuk
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Classification ◽  
Classification Systems ◽  
Anthropogenic Pressure ◽  
Land Use Land Cover ◽  
Land Use Classification ◽  
Land Cover Data ◽  
Spatial Changes ◽  
Land Use Types

Urbanization processes are some of the key drivers of spatial changes which shape and influence land use and land cover. The aim of sustainable land use policies is to preserve and manage existing resources for present and future generations. Increasing access to information about land use and land cover has led to the emergence of new sources of data and various classification systems for evaluating land use and spatial changes. A single globally recognized land use classification system has not been developed to date, and various sources of land-use/land-cover data exist around the world. As a result, data from different systems may be difficult to interpret and evaluate in comparative analyses. The aims of this study were to compare land-use/land-cover data and selected land use classification systems, and to determine the influence of selected classification systems and spatial datasets on analyses of land-use structure in the examined area. The results of the study provide information about the existing land-use/land-cover databases, revealing that spatial databases and land use and land cover classification systems contain many equivalent land-use types, but also differ in various respects, such as the level of detail, data validity, availability, number of land-use types, and the applied nomenclature.

scholarly journals A Cycle Gan Approach for Heterogeneous Domain Adaptation in Land Use Classification

2020 ◽  
Author(s):  
Claire Voreiter ◽  
Jean-Christophe Burnel ◽  
Pierre Lassalle ◽  
Marc Spigai ◽  
Romain Hugues ◽  
...  
Keyword(s):  
Land Use ◽  
Domain Adaptation ◽  
Land Use Classification

Neighbourhood places, collective efficacy and crime: A longitudinal perspective

Urban Studies ◽  
2021 ◽  
pp. 004209802110088
Author(s):  
Renee Zahnow ◽  
Jonathan Corcoran ◽  
Anthony Kimpton ◽  
Rebecca Wickes
Keyword(s):  
Land Use ◽  
Social Control ◽  
Social Interactions ◽  
Collective Efficacy ◽  
Social Cohesion ◽  
Mixed Effects ◽  
Land Use Classification ◽  
Social Survey ◽  
Panel Models ◽  
Over Time

Neighbourhood places like shops, cafes and parks support a variety of social interactions ranging from the ephemeral to the intimate. Repeated interactions at neighbourhood places over time lay the foundation for the development of social cohesion and collective efficacy. In this study, we examine the proposition that changes in the presence or arrangement of neighbourhood places can destabilise social cohesion and collective efficacy, which has implications for crime. Using spatially integrated crime, social survey and parcel-level land-use classification data, we estimate mixed effects panel models predicting changes in theft and nuisance crimes across 147 Australian neighbourhoods. The findings are consistent with neighbourhood social control and crime opportunity theories. Neighbourhood development – indicated by fewer vacant properties and fewer industrial and agricultural sites – is associated with higher collective efficacy and less crime over time. Conversely, introducing more restaurants, transit stations and cinemas is associated with higher theft and nuisance over time regardless of neighbourhood collective efficacy. We argue that the addition of socially conducive places can leave neighbourhoods vulnerable to crime until new patterns of sociability emerge and collective efficacy develops.

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