scholarly journals Remote Sensing-Based Analysis of Landscape Pattern Evolution in Industrial Rural Areas: A Case of Southern Jiangsu, China

2019 ◽  
Vol 11 (18) ◽  
pp. 4994 ◽  
Author(s):  
Zhu ◽  
Wang ◽  
Sakai
Keyword(s):  
Remote Sensing ◽  
Landscape Pattern ◽  
Rural Areas ◽  
Rural Landscape ◽  
Distribution Data ◽  
Cultivated Land ◽  
Construction Land ◽  
Class Level ◽  
Southern Jiangsu ◽  
Landscape Level

With the rapid economic development of industrial rural areas in Southern Jiangsu, the rural landscape and ecological environment of these industrial rural areas are getting damaged. Based on GIS and RS techniques, Landsat Satellite remote sensing images from 1981, 1991, 2001, 2011 and 2018 were collected for Jiangyin, Zhangjiagang, Changshu and Kunshan, to extract landscape pattern indexes and spatial distribution data. Landscape pattern indexes of the patch-class level and landscape level from each year were calculated by FRAGSTATS. After analyzing and comparing landscape pattern variation of five years, progress, characteristics and driving forces of landscape pattern evolution were explored. At the patch-class level, construction land had continuously encroached on green and cultivated land, exhibiting trends of expansion and centralization. At the landscape level, the number of small patches and degree of landscape fragmentation generally increased. The direct cause of landscape pattern evolution in industrial rural areas of Southern Jiangsu was the encroachment and segmentation of green and cultivated land by construction land, and the dominant factors driving the changes in construction land in the industrial rural areas of Southern Jiangsu were the effects of land and population aggregation exerted by the development of township enterprises and rural industries.

scholarly journals Estimation of ecosystem services value based on land use and cover change information derived from remote sensing data

2020 ◽  
Vol 198 ◽  
pp. 04026
Author(s):  
Liyan Wang ◽  
Chao Chen ◽  
Kai Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Ecosystem Services ◽  
Quantitative Estimation ◽  
Research Area ◽  
Cultivated Land ◽  
Land Area ◽  
Construction Land ◽  
Ecosystem Services Value ◽  
Land Use And Cover

It is an effective method to study the value change of ecological services based on land use and cover change information. This paper analyzed the land use and cover change information in the research area, which is based on the remote sensing images and social statistics data of 2005, 2010, and 2015, and then, quantitative estimation of the ecosystem service value was performed. Yangtze-Huaihe river basin, China is a fragile ecological area, which is selected as the research area. During 2005-2015, the area of cultivated land and construction land was the main land use types in the study area, the land use and cover change in the study area were obvious, which was characterized by the increasing of construction land area and the decreasing of cultivated land area, and the total ecosystem services value in the research area has been decreasing continuously, the value from 34.376 billion yuan in 2005 to 26.161 billion yuan in 2015.

Analysis on Evolution of Landscape Pattern in Dianchi Basin Based on RS and GIS

2011 ◽  
Vol 291-294 ◽  
pp. 3419-3423 ◽  
Author(s):  
Zhao Qin Han ◽  
Jing Ye ◽  
Zhen Wang ◽  
Jie Liu ◽  
Shu Xia Yu
Keyword(s):  
Remote Sensing ◽  
Landscape Metrics ◽  
Landscape Pattern ◽  
Principal Component ◽  
Landscape Fragmentation ◽  
Remote Sensing Images ◽  
Rs And Gis ◽  
Land Use Types ◽  
Landscape Patches ◽  
Landscape Level

With the support of RS, GIS and FRAGSTATS techniques, the landscape pattern has been analyzed quantitatively in Dianchi basin by 16 commonly used landscape metrics, based on remote sensing images of 1988, 1990, 1994, 1999, 2002 and 2008. After performance of principal component analysis (PCA) on the 16 landscape metrics, three principal components (PCs) were generalized: spatial aggregation of landscape patches, landscape fragmentation and landscape diversity. Then, the characteristics and evolution of landscape pattern in Dianchi basin have been explored at the landscape level. The results showed, that, from 1988 to 1994, the landscape fragmentation was serious and the level of diversity was fluctuant. And for some kinds of landscape patches, the integrity was much undermined, the spatial distribution was scattered and the degree of aggregation was fallen. From 1994 to 2008, the degree of aggregation between patches increased gradually. The situation of landscape fragmentation was under control. And, the land use types had a tendency towards diversification and homogenization.

scholarly journals The Ecosystem Services Value Change and Its Driving Forces Responding to Spatio-Temporal Process of Landscape Pattern in the Co-Urbanized Area

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1043
Author(s):  
Xinyu Zhang ◽  
Huawei Li ◽  
Hua Xia ◽  
Guohang Tian ◽  
Yuxing Yin ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Landscape Pattern ◽  
Driving Forces ◽  
Yellow River ◽  
Landscape Patterns ◽  
Rapid Expansion ◽  
Edge Density ◽  
Cultivated Land ◽  
Construction Land ◽  
Patch Density

The development of urbanization is still expanding on the earth, and the rapid expansion of cities has changed the regional landscape pattern and significantly affected the value of regional ecosystem services in developing countries such as China. Zhongmu County, as the core area of Zhengzhou-Kaifeng integration, studying the temporal and spatial transformations of its landscape pattern and ecosystem service value (ESV) is of great significance to the region’s sustainable development. Based on remote sensing images and socioeconomic data, this study aims to explore the landscape pattern of Zhongmu County from 2005 to 2018 and its impact on ESV. Research methods include an ESV equivalent factor method, landscape pattern index, spatial autocorrelation, and other methods. The results showed that: (1) During the study period, the patch density and shape complexity, landscape diversity, and fragmentation of the overall landscape in the study area continued to increase while landscape connectivity decreased. (2) The total amount of ESV increased by 10.05 million USD; ESV had certain differences in spatial distribution: high-value clusters were mainly located at the boundary of the Yellow River in the north, while low-value clusters had a significant eastward expansion trend. (3) ESV increased significantly in areas where cultivated land was transferred to waters and forests, and ESV in areas where waters transferred to construction land and cultivated land was significantly reduced. (4) ESV had a significant positive spatial correlation with patch density, edge density, mean patch fractal dimension, mean patch size, and the landscape shape index, and a spatially negative correlation with the contagion index and cohesion index. The spatial and temporal changes in landscape patterns and ESV were all mainly driven by the regional development “Zhengzhou-Kaifeng integration” policy. Therefore, the ESV can be improved, and the ecological security of the urban integration area can be guaranteed through policy measures such as optimizing the layout of construction land and adjusting the uniform distribution of green areas by the land-use policy.

scholarly journals Factors Influencing Farmer’s Decision-Making Behavior on Rural Construction Land Transformation

2018 ◽  
Vol 10 (11) ◽  
pp. 4288 ◽  
Author(s):  
Xuesong Sun ◽  
Zaisheng Zhang ◽  
Yiye Zhang
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Rural Areas ◽  
Chinese Government ◽  
Cultivated Land ◽  
Land Transformation ◽  
Construction Land ◽  
Decision Making Behavior ◽  
The City ◽  
Rural Construction

In order to protect cultivated land and balance farmers’ needs and shortage of land, the Chinese government introduced policies to rearrange land use in rural areas. However, many problems, such as unused rural construction land and illegally occupied land, have occurred through implementing land use policies. Rural construction land transformation has been promoted to solve these problems. This transformation was designed to let farmers voluntarily transforming their idle rural construction land. Then, local government could rearrange village layout for developing cultivation, industry and green space. Therefore, in order to analyze the factors that influenced farmers’ decision-making behavior in rural construction land transformation, household surveys were conducted in four typical villages in Jizhou District. After using the Probit model to analyze the data, the results indicated that the willingness to settle in the city, the mode of housing resettlement, the mode of compensation, the rationality of the measurement standards, and the annual total household income positively affected the willingness of farmers to transform their rural construction land. The strong willingness to settle in the city dominated the other factors. Moreover, the age and amount of construction land, the method of construction land acquisition, and the amount of cultivated land negatively affected the decision-making behavior during the transformation of rural construction land. Based on the influencing factors, policy suggestions are proposed from the perspectives of establishing an orderly transformation mechanism, implementing priority transformation, and providing compensation for transforming rural construction land.

scholarly journals Factors Controlling Urban and Rural Indirect Carbon Dioxide Emissions in Household Consumption: A Case Study in Beijing

2019 ◽  
Vol 11 (23) ◽  
pp. 6563 ◽  
Author(s):  
Jin ◽  
Li ◽  
Sun ◽  
Zhang ◽  
Zheng
Keyword(s):  
Carbon Dioxide ◽  
Land Use ◽  
Co2 Emissions ◽  
Rural Areas ◽  
Urban Areas ◽  
Carbon Dioxide Emissions ◽  
Social Economy ◽  
Urban Residents ◽  
Cultivated Land ◽  
Construction Land

Residential carbon dioxide emissions can be divided into a direct component caused by consumers via direct energy usage and an indirect component caused by consumers buying and using products to meet their needs, with a higher proportion caused by the latter. Based on Beijing panel data for 1993–2012, an economic boom period in China, indirect carbon dioxide emissions were separately calculated for urban and rural households using the consumer lifestyle approach (CLA) model. Then, an extended stochastic impact by regression on population, affluence, and technology (STIRPAT) model was used to analyze the influence from two aspects, social economy, and land use, with high precision. Results indicate that indirect CO2 emissions in Beijing households display a rising trend in urban areas but a slight decrease in rural areas. Technology influences and forest land are, respectively, the most important aspects of the social economy and land use. Higher population and urbanization resulted in enhanced emissions in both urban and rural areas. The Engel coefficient presented a negative correlation with indirect CO2 emissions for both rural and urban areas. Compared with urban areas, the per capita net income of rural areas restrained consumption. The consumption structure of urban residents was more biased toward the tertiary industry than that of rural residents. Although technical progress has proceeded, it cannot offset urban residents’ indirect CO2 emissions caused by the large amount and rapid growth of consumption. Regarding land use, urban construction land net primary productivity (NPP) was high and not an important factor contributing to indirect CO2 emissions. Forest and lawn primarily served a recreational function and exhibited a positive impact. Water and cultivated land offered insufficient production and thus had a negative influence. For rural residents, lawn and cultivated land production is self-sufficient. Forests offer a carbon sequence effect, and construction land expansion increased the proportion of developed area, offering a scale effect that resulted in reduced carbon emissions. Based on the results, alternative carbon emission reduction policies have been proposed for each tested influence aspect to reduce emissions, including policies for optimizing industrialization quality, constructing a medium-density city, increasing space efficiency, encouraging sustainable consumption behavior, and increasing the efficiency of energy utilization.

Evolution of Urban Landscape Pattern in Suzhou City during 1987-2009

2012 ◽  
Vol 178-181 ◽  
pp. 332-336
Author(s):  
Gang Fang ◽  
Yong Zhang ◽  
Juan Yang
Keyword(s):  
Fractal Dimension ◽  
Landscape Pattern ◽  
Urban Landscape ◽  
Driving Forces ◽  
Landscape Diversity ◽  
Cultivated Land ◽  
Construction Land ◽  
Evenness Index ◽  
Isolation Index ◽  
Suzhou City

The urban landscape pattern evolution and driving forces in SuZhou City in the past two decades were explored based on the landscape ecology theory and the ENVI 4.7 & Fragstats 3.3 technology, using the multi-source interpreted data of Landsat TM images in 1987,2005 and 2009, and Landsat ETM+ image in 2000. The indices chosen are the urban landscape overall constitution, average patch area, patch number, patch density, fractal dimension, contagion index, isolation index, fragment index, landscape diversity and evenness index. Taking the remote sensing as a platform to integrate and analyze the data, the driving forces are summarized together with the development of SuZhou City. This will supply the theory foundation and scientific basis for the land resources of reasonable planning and using, management, sustainable utilization, and the landscape pattern optimization configuration in SuZhou City. The results show that, the landscape pattern in Suzhou City changed greatly from 1987 to 2009. The construction land area increased, while the cultivated land, wood land and water body area decreased. The urban landscape contagion index and landscape fractal dimension were all increased, while the urban landscape diversity and evenness index were all decreased. The isolation index and fragment index of the construction land and cultivated land were small, this shows that the landscape pattern changed mainly by human factors. The population and economy growth together with industrialization and urbanization were main forces for the urban landscape pattern evolution in SuZhou City. The results can provide scientific evidence for ecological landscape design and urban development planning in other regions.

scholarly journals Spatial Distribution and Land Use of Traditional Villages in Southwest China

2021 ◽  
Vol 13 (11) ◽  
pp. 6326
Author(s):  
Xiye Zheng ◽  
Jiahui Wu ◽  
Hongbing Deng
Keyword(s):  
Cultural Heritage ◽  
Influencing Factors ◽  
Landscape Pattern ◽  
Southwest China ◽  
Spatial Clustering ◽  
Interaction Mechanism ◽  
Cultivated Land ◽  
River Population ◽  
Local Conditions ◽  
Countermeasures And Suggestions

Traditional villages are the historical and cultural heritage of people around the world. With the increases in urbanization and industrialization, the continuation of traditional villages and the inheritance of historical and cultural heritage are facing risk. Therefore, to grasp the spatial characteristics of them and the human–nature interaction mechanism in Southwest China, we analyzed the distribution pattern of traditional villages using the ArcGIS software. Then, we further analyzed the spatial clustering characteristics, influencing factors and landscape pattern, and put forward relevant protection countermeasures and suggestions. The results revealed that traditional villages in Southwest China were clustered, being mainly distributed in areas with relatively low elevation, gentle slopes, low relative positions, nearby water sources, and convenient transportation. They can be divided into four categories due to obvious differences in influencing factors such as elevation, slope, relative position, distance to the nearest river, population density, etc. The landscape pattern of traditional villages differed among the different clusters, being mainly composed of forests, shrubs, and cultivated land. With the increase in the buffer radius, the landscape pattern of them changed significantly. The results of this study reflect that traditional villages and the natural environment are interdependent, so the protection of traditional villages should carry out measures according to local conditions.

scholarly journals Evaluation of the status of land use/land cover change using remote sensing and GIS in Jewha Watershed, Northeastern Ethiopia

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Dereje Gebrie Habte ◽  
Satishkumar Belliethathan ◽  
Tenalem Ayenew
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Catchment Area ◽  
Environmental Conservation ◽  
Land Use Land Cover ◽  
Cultivated Land ◽  
Plantation Forest ◽  
Bare Land

AbstractEvaluation of land use/land cover (LULC) status of watersheds is vital to environmental management. This study was carried out in Jewha watershed, which is found in the upper Awash River basin of central Ethiopia. The total catchment area is 502 km2. All climatic zones of Ethiopia, including lowland arid (‘Kola’), midland semi-arid (‘Woinadega’), humid highland (Dega) and afro alpine (‘Wurch’) can be found in the watershed. The study focused on LULC classification and change detection using GIS and remote sensing techniques by analyzing satellite images. The data preprocessing and post-process was done using multi-temporal spectral satellite data. The images were used to evaluate the temporal trends of the LULC class by considering the years 1984, 1995, 2005 and 2015. Accuracy assessment and change detection of the classification were undertaken by accounting these four years images. The land use types in the study area were categorized into six classes: natural forest, plantation forest, cultivated land, shrub land, grass land and bare land. The result shows the cover classes which has high environmental role such as forest and shrub has decreased dramatically through time with cultivated land increasing during the same period in the watershed. The forest cover in 1984 was about 6.5% of the total catchment area, and it had decreased to 4.2% in 2015. In contrast, cultivated land increased from 38.7% in 1984 to 51% in 2015. Shrub land decreased from 28 to 18% in the same period. Bare land increased due to high gully formation in the catchment. In 1984, it was 1.8% which turned to 0.6% in 1995 then increased in 2015 to 2.7%. Plantation forest was not detected in 1984. In 1995, it covers 1.5% which turned to be the same in 2015. The study clearly demonstrated that there are significant changes of land use and land cover in the catchment. The findings will allow making informed decision which will allow better land use management and environmental conservation interventions.

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