scholarly journals Urban Sprawl and Changes in Land-Use Efficiency in the Beijing–Tianjin–Hebei Region, China from 2000 to 2020: A Spatiotemporal Analysis Using Earth Observation Data

2021 ◽  
Vol 13 (15) ◽  
pp. 2850
Author(s):  
Meiling Zhou ◽  
Linlin Lu ◽  
Huadong Guo ◽  
Qihao Weng ◽  
Shisong Cao ◽  
...  
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Urban Areas ◽  
Landsat Imagery ◽  
Spatiotemporal Analysis ◽  
Google Earth ◽  
Observation Data ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Bth Region

Sustainable development in urban areas is at the core of the implementation of the UN 2030 Agenda and the Sustainable Development Goals (SDG). Analysis of SDG indicator 11.3.1—Land-use efficiency based on functional urban boundaries—provides a globally harmonized avenue for tracking changes in urban settlements in different areas. In this study, a methodology was developed to map built-up areas using time-series of Landsat imagery on the Google Earth Engine cloud platform. By fusing the mapping results with four available land-cover products—GlobeLand30, GHS-Built, GAIA and GLC_FCS-2020—a new built-up area product (BTH_BU) was generated for the Beijing–Tianjin–Hebei (BTH) region, China for the time period 2000–2020. Using the BTH_BU product, functional urban boundaries were created, and changes in the size of the urban areas and their form were analyzed for the 13 cities in the BTH region from 2000 to 2020. Finally, the spatiotemporal dynamics of SDG 11.3.1 indicators were analyzed for these cities. The results showed that the urban built-up area could be extracted effectively using the BTH_BU method, giving an overall accuracy and kappa coefficient of 0.93 and 0.85, respectively. The overall ratio of the land consumption rate to population growth rate (LCRPGR) in the BTH region fluctuated from 1.142 in 2000–2005 to 0.946 in 2005–2010, 2.232 in 2010–2015 and 1.538 in 2015–2020. Diverged changing trends of LCRPGR values in cities with different population sizes in the study area. Apart from the megacities of Beijing and Tianjin, after 2010, the LCRPGR values were greater than 2 in all the cities in the region. The cities classed as either small or very small had the highest LCRPGR values; however, some of these cities, such as Chengde and Hengshui, experienced population loss in 2005–2010. To mitigate the negative impacts of low-density sprawl on environment and resources, local decision makers should optimize the utilization of land resources and improve land-use efficiency in cities, especially in the small cities in the BTH region.

scholarly journals Estimation of Urban Land-Use Efficiency for Sustainable Development by Integrating over 30-Year Landsat Imagery with Population Data: A Case Study of Ha Long, Vietnam

2021 ◽  
Vol 13 (16) ◽  
pp. 8848
Author(s):  
Shokhrukh-Mirzo Jalilov ◽  
Yun Chen ◽  
Nguyen Hong Quang ◽  
Minh Nguyen Nguyen ◽  
Ben Leighton ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Population Growth Rate ◽  
Consumption Rate ◽  
Landsat Imagery ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
Land Consumption

Humans are moving into urban areas at an accelerated pace. An increasing urban population fuels urban expansion and reduces nearby agricultural lands and natural environments such as forests, swamps, other water-pervious areas. Unsustainable development creates a disproportion between the growth of urban areas and the growth in urban population. The UN SDG indicator 11.3.1 specifically addresses the issue of the measurement of land-use efficiency. While the metric and methodology to estimate the indicator are straightforward, it faces problems of data unavailability and inconsistency. Vietnam has a record of tremendous economic growth that has translated into more urban settlements of size. Consequently, rural population movement into urban areas has led to many urban sustainable planning and development challenges. In the absence of previous work on estimating land-use efficiency in Vietnamese cities, this study makes the first attempt to examine land-use efficiency in Ha Long, one of the country’s fast-growing cities in recent decades. We mapped land use from high-resolution Landsat imagery (30 m) spanning multi-decadal observations from 1986 to 2020. An advanced machine learning approach, the Support Vector Machine algorithm, was applied to estimate the built-up area, which, by integration with census data, is essential for calculating SDG indicator 11.3.1. This study shows that the land-use efficiency metric was positive but small at the beginning of the considered period but increased in 2000–2020. These results suggest that before 2000, the urban land consumption rate in Ha Long was lower than the population growth rate, implying denser urban land use. The situation changed to the opposite when the urban land consumption rate exceeded the population growth rate in the past two decades. The study’s approach is applicable to regional and district levels to provide comparative analyses between cities or parts of a region or districts of the city. These analyses are valuable tools for assessing the impact of local urban and municipal planning policies on urban development.

Monitoring global land-use efficiency in the context of the UN 2030 Agenda for Sustainable Development

2021 ◽  
Vol 115 ◽  
pp. 102403
Author(s):  
Ronald C. Estoque ◽  
Makoto Ooba ◽  
Takuya Togawa ◽  
Yasuaki Hijioka ◽  
Yuji Murayama
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Land Use Efficiency ◽  
2030 Agenda ◽  
Global Land ◽  
Use Efficiency

scholarly journals Understanding the Rural Livelihood Stability System: The Eco-Migration in Huanjiang County, China

2020 ◽  
Vol 12 (16) ◽  
pp. 6374 ◽  
Author(s):  
Xiang Li ◽  
Shuang Xu ◽  
Yecui Hu
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Reference Group ◽  
Migration Policy ◽  
Karst Region ◽  
Land Use Efficiency ◽  
Income Sources ◽  
Use Efficiency ◽  
The Government ◽  
Huanjiang County

Immigrants are a special group whose livelihood stability is crucial to local sustainable development. To understand the positive effect of eco-migration policy on the immigrants, we innovatively selected the perspective of stability and quantified immigrants’ livelihood stability with relevant concepts, including livelihood capitals and strategies, response capacity, and land-use efficiency, which helped identify the problems and put forward suggestions to enhance livelihood sustainability, achieve better social integration, and promote the sustainable development of the rural resettlement areas. Huanjiang County was used as a study case as it is the largest and most representative eco-migrant resettlement county of the southwestern karst region, China. Aided by participatory rural appraisal (PRA), this paper explores the livelihood stability of immigrants and takes natives as the reference group. The results show that the livelihood stability values of immigrants were less than that of natives, but the gap was smaller than ten years ago; the natural, social, and other capitals owned by immigrants were almost the same as those of natives, demonstrating that the Chinese government’s poverty alleviation policies have benefitted immigrants. However, both immigrants and natives were found to have less natural and social capitals; high income dependency and an unbalanced proportion of income sources in addition to low land-use efficiency. Therefore, there are several suggestions put forward to achieve stable livelihood and rural sustainable development, and these items should be given increased consideration by both the government and households in resettlement areas.

scholarly journals Principles and Applications of the Global Human Settlement Layer as Baseline for the Land Use Efficiency Indicator—SDG 11.3.1

2019 ◽  
Vol 8 (2) ◽  
pp. 96 ◽  
Author(s):  
Michele Melchiorri ◽  
Martino Pesaresi ◽  
Aneta Florczyk ◽  
Christina Corbane ◽  
Thomas Kemper
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Spatial Distribution ◽  
Distribution Density ◽  
Census Data ◽  
Spatial Information ◽  
Human Settlement ◽  
Land Use Efficiency ◽  
Multi Temporal ◽  
Use Efficiency

The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics describing the human presence on the planet that is based mainly on two quantitative factors: (i) the spatial distribution (density) of built-up structures and (ii) the spatial distribution (density) of resident people. Both of the factors are observed in the long-term temporal domain and per unit area, in order to support the analysis of the trends and indicators for monitoring the implementation of the 2030 Development Agenda and the related thematic agreements. The GHSL uses various input data, including global, multi-temporal archives of high-resolution satellite imagery, census data, and volunteered geographic information. In this paper, we present a global estimate for the Land Use Efficiency (LUE) indicator—SDG 11.3.1, for circa 10,000 urban centers, calculating the ratio of land consumption rate to population growth rate between 1990 and 2015. In addition, we analyze the characteristics of the GHSL information to demonstrate how the original frameworks of data (gridded GHSL data) and tools (GHSL tools suite), developed from Earth Observation and integrated with census information, could support Sustainable Development Goals monitoring. In particular, we demonstrate the potential of gridded, open and free, local yet globally consistent, multi-temporal data in filling the data gap for Sustainable Development Goal 11. The results of our research demonstrate that there is potential to raise SDG 11.3.1 from a Tier II classification (manifesting unavailability of data) to a Tier I, as GHSL provides a global baseline for the essential variables called by the SDG 11.3.1 metadata.

scholarly journals Seasonality on Transplanting Monocropped Lettuce and Intercropping With Staked Summer Squash

2020 ◽  
Vol 8 (4) ◽  
pp. 316
Author(s):  
Leonardo Diogo Ehle Dias ◽  
Jucimar Ferreira Neves ◽  
Leandro Batista Da Silva ◽  
Franciely Da Silva Ponce ◽  
Oscar Mitsuo Yamashita ◽  
...  
Keyword(s):  
Land Use ◽  
Lactuca Sativa ◽  
Urban Areas ◽  
Cropping Systems ◽  
Cucurbita Moschata ◽  
Mato Grosso ◽  
Land Use Efficiency ◽  
Summer Squash ◽  
Use Efficiency ◽  
Crop System

Lettuce and summer squash are two important vegetables cultivated in peri-urban areas the cities in Mato Grosso State, Brazil. Their intercropping can increase the efficiency of the use of the area and the seasonality of harvest. This study aimed to evaluate the performance of lettuce (Lactuca sativa) and summer squash (Cucurbita moschata) in a conventional crop system and intercropped with different lettuce transplant period. These being the result of mono-cropping systems and intercropped lettuce with staked summer squash in six transplanting seasons of the lettuce and the monocropping of the trailing summer squash. The simultaneous transplantation of the two species provided the best performance of the lettuce. Summer squash production per plant did not differ between cropping systems; however, increased productivity was obtained with intercropping due to the higher density of plants. All the periods of inter-cropping establishment showed positive rates of land-use efficiency. For the summer squash production, intercropping systems provide better yield; however, the system hampers the development and production of lettuce.

scholarly journals Big Data Supported the Identification of Urban Land Efficiency in Eurasia by Indicator SDG 11.3.1

2021 ◽  
Vol 10 (2) ◽  
pp. 64
Author(s):  
Chaopeng Li ◽  
Guoyin Cai ◽  
Mingyi Du
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Population Growth ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Supply ◽  
Large Cities ◽  
Land Use Efficiency ◽  
Use Efficiency

Indicator 11.3.1 of the UN Sustainable Development Goals (SDG 11.3.1) was designed to test land-use efficiency, which was defined as the ratio of the land consumption rate (LCR) to the population growth rate (PGR), namely, LCRPGR. This study calculates the PGRs, LCRs, and LCRPGRs for 333 cities from 1990–2000 and 391 cities from 2000–2015 in four geographical divisions in Eurasia according to the method given by UN metadata. The results indicate that Europe and Japan have the lowest PGR and LCR, indicating that this region’s level of urbanization is the highest. South and Central Asia have the lowest values of LCRPGR, indicating relatively lower urban land supply during the measurement periods. Compared with the mean LCRPGR in a region, the average values from SDG 11.3.1 by different types of cities in a region can have more guiding significance for urban sustainable development. While paying attention to the urban land-use efficiency of mega and extra-large cities, more attention should be paid to the coordination relationship between urban land supply and population growth in large, medium, and small cities. Additionally, the method from UN metadata works well for most urban expansion cities but is not suitable for cities with small changes in urban populations.

scholarly journals Mapping Land Use/Cover Dynamics of the Yellow River Basin from 1986 to 2018 Supported by Google Earth Engine

2021 ◽  
Vol 13 (7) ◽  
pp. 1299
Author(s):  
Qiulei Ji ◽  
Wei Liang ◽  
Bojie Fu ◽  
Weibin Zhang ◽  
Jianwu Yan ◽  
...  
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Yellow River ◽  
Landsat Imagery ◽  
Urban Expansion ◽  
Google Earth ◽  
The Yellow River ◽  
Entire Study ◽  
Land System ◽  
Google Earth Engine

Changes in the land use/cover alter the Earth system processes and affect the provision of ecosystem services, posing a challenge to achieve sustainable development. In the past few decades, the Yellow River (YR) basin faced enormous social and environmental sustainability challenges associated with environmental degradation, soil erosion, vegetation restoration, and economic development, which makes it important to understand the long-term land use/cover dynamics of this region. Here, using three decades of Landsat imagery (17,080 images) and incorporating physiography data, we developed an effective annual land use/cover mapping framework and provided a set of 90 m resolution continuous annual land use/cover maps of the YR basin from 1986 to 2018 based on the Google Earth Engine and the Classification and Regression Trees algorithm. The independent random sampling validations based on the field surveys (640 points) and Google Earth (3456 points) indicated that the overall accuracy of these maps is 78.3% and 80.0%, respectively. The analysis of the land system of the YR basin showed that this region presents complex temporal and spatial changes, and the main change patterns include no change or little change, cropland loss and urban expansion, grassland restoration, increase in orchard and terrace, and increase in forest during the entire study period. The major land use/cover change has occurred in the transitions from forests, grasslands, and croplands to the class of orchard and terrace (19.8% of all change area), which not only increase the greenness but also raised the income, suggesting that YR progress towards sustainable development goals for livelihood security, economic growth, and ecological protection. Based on these data and analysis, we can further understand the role of the land system in the mutual feedback between society and the environment, and provide support for ecological conservation, high-quality development, and the formulation of sustainable management policies in this basin, highlighting the importance of continuous land use/cover information for understanding the interactions between the human and natural systems.

scholarly journals Identification of urban land use efficiency by indicator-SDG 11.3.1

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244318
Author(s):  
Guoyin Cai ◽  
Jinxi Zhang ◽  
Mingyi Du ◽  
Chaopeng Li ◽  
Shu Peng
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Positive Impact ◽  
Urban Land ◽  
Urban Land Use ◽  
Rapid Urbanization ◽  
Error Matrix ◽  
Land Use Efficiency ◽  
Multiple Data ◽  
Use Efficiency

Inefficiency in urban land use is one of the problems caused by rapid urbanization. The UN Sustainable Development Goals (SDGs) indicator 11.3.1 is designed to test urban land use efficiency. This study employed geospatial and statistical data to compute land use efficiencies from 1990 to 2015 with five 5-year and ten 15-year intervals in Wukang, center of Deqing County, China. A flowchart was designed to extract the built-up lands from multiple data sources. The produced built-up lands were demonstrated to provide good accuracy by constructing an error matrix between the extracted and manually interpreted built-up lands as classified and reference images, respectively. By using the model provided by UN metadata to calculate SDG 11.3.1, the land use efficiencies from 1990 to 2015 were identified in Wukang. Our results indicate that the land use efficiency in Deqing County center is lower than the average of cities around the world, primarily because our in-situ study focused on a county center with larger rural regions than urban areas. Over the long term, urban land use becomes denser as the population grows, which will have a positive impact on the sustainability of urban development. This work is helpful for the local government to balance urban land consumption and population growth.

scholarly journals The efficiency of use of land as a factor of development of the agrarian sector of the European North of Russia

2018 ◽  
pp. 33-44
Author(s):  
N. A. Frieva
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Necessary Condition ◽  
Land Resources ◽  
The Sustainable Development ◽  
Land Use Efficiency ◽  
European North ◽  
Use Efficiency

Currently, the rational use of land resources, identification of problems of their implementation, development of key areas and implementation of measures to improve the efficiency of economic use of the land fund plays an important role in strengthening the economy of the region, and is also important for increasing the volume of agricultural products. The aim of the study was to analyze the efficiency of land use in the regions of the European North of Russia (ESR). The article summarizes the theoretical aspects of the study, which emphasized the importance of land, which is the main means of agricultural production, considered the concept of economic efficiency of land use in agriculture, the existing system of indicators of land use efficiency according to various scientists, the author’s system of relative and natural indicators of land use efficiency; the analysis of the effectiveness of land use in the ESR. The characteristic feature of these territories, such as the gradual reduction of agricultural land due to soil degradation and misuse of land resources, is noted. It is emphasized that the necessary condition for ensuring the growth of agricultural production and sustainable development of the region is a stable provision of state support at a sufficient level. In conclusion, the article proposes a set of tools aimed at the implementation of the existing land potential of the regions of the European North of Russia. Among them-agrotechnical, meliorative and organizational and economic measures, the implementation of which will contribute to the sustainable development of agriculture and the economy of the region as a whole. 

scholarly journals Optimization of Population Distribution Pattern in China Based on Land Use Efficiency

2018 ◽  
Author(s):  
Minmin Li ◽  
Biao He ◽  
Renzhong Guo ◽  
You Li ◽  
Yu Chen ◽  
...  
Keyword(s):  
Land Use ◽  
Distribution Pattern ◽  
Urban Areas ◽  
Population Distribution ◽  
National Level ◽  
Rapid Urbanization ◽  
Land Use Efficiency ◽  
Economic Production ◽  
Use Efficiency ◽  
Economic Concentration

With the accelerating urbanization process, the population increasingly concentrates in urban areas. In view of the special situation in China and a series of problems in the process of rapid urbanization, there were no reasonable measures for optimizing the population pattern. This study explored the distribution pattern of the Chinese population and proposed an optimization plan for the population distribution using GIS analysis. The main findings were as follows. (1) From 2010 to 2015, the distribution of population density in China presented a pattern of high in the southeast and low in the northwest based on the county-level administrative regions. The population still showed a tendency to migrate to the southeast of the country based on the “Hu Huanyong Line”. (2) There was a great difference in the land use efficiency in terms of population and economic production in China. The economic concentration in China was higher than the population concentration. In the areas where population and economic production were aggregated, GDP per capita and land use efficiency were higher. (3) Based on the land use efficiency in terms of population and economic production, the optimized urbanization plan of “1+4+11” for China’s urbanization was put forward, namely, one national-level aggregated area of population and economic production, 4 regional-level aggregated areas of population and economic production, and 11 local regionally aggregated areas of population and economic production. This optimization plan for urbanization represents an attempt to explore the direction of China’s urbanization, and it can be used to optimize the spatial development pattern and provide scientific guidance for the new urbanization plan.

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