scholarly journals Using Multi-Sensor Satellite Images and Auxiliary Data in Updating and Assessing the Accuracies of Urban Land Products in Different Landscape Patterns

2019 ◽  
Vol 11 (22) ◽  
pp. 2664 ◽  
Author(s):  
Fengshuo Yang ◽  
Zhihua Wang ◽  
Xiaomei Yang ◽  
Yueming Liu ◽  
Bin Liu ◽  
...  
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Spatial Information ◽  
Environmental Changes ◽  
Urban Land ◽  
High Accuracy ◽  
Landscape Patterns ◽  
Urban Landscapes ◽  
Auxiliary Data

Rapid and accurate updating of urban land areas is of great significance to the study of environmental changes. Although there are many urban land products (ULPs) at present, such as GlobeLand30, Global Urban Footprint (GUF), and Global Human Settlement Layer (GHSL), these products are all static data of a certain year, and are not able to provide high-accuracy updating of urban land areas. In addition, the accuracies of these data and their application value in the update of urban land areas need to be urgently proven. Therefore, we proposed an approach to quickly and accurately update urban land areas in the Kuala Lumpur region of Malaysia, and assessed the accuracies of urban land products in different urban landscape patterns. The approach combined the advantages of multi-source data including existing ULPs, OpenStreetMap (OSM) data, Landsat Operational Land Imager (OLI), and Phased Array type L-band Synthetic Aperture Radar (PALSAR) images. Three main steps make up this approach. First, the urban land training samples were selected in the urban areas consistent with GlobeLand30, GUF, and GHSL, and samples of bare land, vegetation, water bodies, and road auxiliary data were obtained by GlobeLand30 and OSM. Then, the random forest was used to extract urban land areas according to the object’s features in the OLI and PALSAR images. Last, we assessed the accuracies of GlobeLand30, GUF, GHSL, and the results of this study (ULC) by using point and area validation methods. The results showed that the ULC had the highest overall accuracy of 90.18% among the four products and could accurately depict urban land in different urban landscapes. The GHSL was the second most accurate of the four products, and the accuracy in urban areas was much higher than that in rural areas. The GUF had many omission errors in urban land areas and could not delineate a large area of complete spatial information of urban land, but it could effectively extract scattered residential land with small patches. GlobeLand30 had the lowest accuracy and could only express rough, large-scale urban land. The above conclusions provide evidence that ULPs and the approach proposed in this study have a great application potential for high-accuracy updating of urban land areas.

The Economic Imperative: Cities Need Migrants

2021 ◽  
pp. 001946622110132
Author(s):  
Astha Agarwalla ◽  
Errol D’Souza
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Market Failure ◽  
Jel Classification ◽  
Industry Concentration ◽  
Wage Curve ◽  
Economic Agents ◽  
Reverse Migration ◽  
Local Labour

The policy responses to Covid-19 have triggered large-scale reverse migration from cities to rural areas in developing countries, exposing the vulnerability of migrants living precarious lives in cities, giving rise to debates asserting to migration as undesirable and favouring policy options to discourage the process. However, the very basis of spatial concentration and formation of cities is presence of agglomeration economies, benefits accruing to economic agents operating in cities. Presence of these agglomeration benefits in local labour markets manifests themselves in the form of an upward sloping wage curve in urban areas. We estimate the upward sloping wage curve for various size classes of cities in Indian economy and establish the presence of positive returns to occupation and industry concentration at urban locations. Controlling for worker-specific characteristics influencing wages, we establish that higher the share of an industry or an occupation in local employment as compared to national economy, the desirability of firms to pay higher wages increases. For casual labourers, occupational concentration results in higher wages. However, impact of industry concentration varies across sectors. Results supporting presence of upward sloping urban wage curve, therefore, endorse policies to correct the market failure in cities and promote migration as a desirable process. JEL Classification Codes: J2, R2

scholarly journals Is global dimming and brightening in Japan limited to urban areas?

2016 ◽  
Author(s):  
Katsumasa Tanaka ◽  
Atsumu Ohmura ◽  
Doris Folini ◽  
Martin Wild ◽  
Nozomu Ohkawara
Keyword(s):  
Solar Radiation ◽  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Temporal Trends ◽  
Surface Radiation ◽  
Surface Solar Radiation ◽  
Decadal Time Scale ◽  
Global Dimming ◽  
Urban And Rural Areas

Abstract. Observations worldwide indicate secular trends of all-sky surface solar radiation on decadal time scale, termed global dimming and brightening. Accordingly, the observed surface radiation in Japan generally shows a strong decline till the end of the 1980s and then a recovery toward around 2000. Because a substantial number of measurement stations are located within or proximate to populated areas, one may speculate that the observed trends are strongly influenced by local air pollution and are thus not of large-scale significance. This hypothesis poses a serious question as to what regional extent the global dimming and brightening are significant: Are the global dimming and brightening truly global phenomena, or regional or even only local? Our study focused on 14 meteorological observatories that measured all-sky surface solar radiation, zenith transmittance, and maximum transmittance. On the basis of municipality population time series, historical land use maps, recent satellite images, and actual site visits, we concluded that eight stations had been significantly influenced by urbanization, with the remaining six stations being left pristine. Between the urban and rural areas, no marked differences were identified in the temporal trends of the aforementioned meteorological parameters. Our finding suggests that global dimming and brightening in Japan occurred on a large scale, independently of urbanization.

SOCIO-ECONOMIC EFFICIENCY OF AQUACULTURE DEVELOPMENT IN REPUBLICS OF DAGESTAN

Fisheries ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 81-86
Author(s):  
Magomed Gimbatov
Keyword(s):  
Development Strategy ◽  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Economic Effect ◽  
Fish Farming ◽  
Well Being ◽  
Successful Implementation ◽  
Fish Products ◽  
The Republic

The article considers the potential of Dagestan aquaculture (with trout as case study) to increase the level of social and economic development of rural areas of the republic. An economic analysis of the prospects for the development of forestry was carried out taking into account the territorial features of the Republic of Dagestan. The study shows that the socio-economic effect of the trout farming development in Dagestan can be considered as particularly significant. Its successful implementation will accelerate the solution of the following problems of the republic: - Increase of self-sufficiency of the population, fish products of own production, with fresh and high quality; - Increased consumption of fish products per capita, especially in rural areas; - Expansion of the tax base and increase of cash receipts, in the form of taxes and other payments to the budget and extrabudgetary funds at all levels; - Creation of a significant number of new jobs in rural areas and, as a result, the reduction of rural migration to urban areas; - The revival of fish processing plants; - Increased production of environmentally friendly food products in the region. The results of the study can be used in the development of the Rural Development Strategy of the region. Sustainable and large-scale development of aquaculture (fish farming) will bring the economy of the area to a higher level and make a significant contribution to improving the well-being of the rural population of the Republic of Dagestan.

scholarly journals Regional Variations of Land-Use Development and Land-Use/Cover Change Dynamics: A Case Study of Turkey

2019 ◽  
Vol 11 (7) ◽  
pp. 885 ◽  
Author(s):  
Ustaoglu ◽  
Aydınoglu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Rural Areas ◽  
Urban Areas ◽  
Urban Land ◽  
Temporal Changes ◽  
Rapid Expansion ◽  
Land Uses ◽  
Hierarchical Levels ◽  
Spatio Temporal

. Population growth, economic development and rural-urban migration have caused rapid expansion of urban areas and metropolitan regions in Turkey. The structure of urban administration and planning has faced different socio-economic and political challenges, which have hindered the structured and planned development of cities and regions, resulting in an irregular and uneven development of these regions. We conducted detailed comparative analysis on spatio-temporal changes of the identified seven land-use/cover classes across different regions in Turkey with the use of Corine Land Cover (CLC) data of circa 1990, 2000, 2006 and 2012, integrated with Geographic Information System (GIS) techniques. Here we compared spatio-temporal changes of urban and non-urban land uses, which differ across regions and across different hierarchical levels of urban areas. Our findings have shown that peri-urban areas are growing more than rural areas, and even growing more than urban areas in some regions. A deeper look at regions located in different geographical zones pointed to substantial development disparities across western and eastern regions of Turkey. We also employed multiple regression models to explain any possible drivers of land-use change, regarding both urban and non-urban land uses. The results reveal that the three influencing factors-socio-economic characteristics, regional characteristics and location, and development constraints, facilitate land-use change. However, their impacts differ in different geographical locations, as well as with different hierarchical levels.

scholarly journals Assessment of Switchgrass-Based Bioenergy Supply Using GIS-Based Fuzzy Logic and Network Optimization in Missouri (U.S.A.)

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4516
Author(s):  
Huynh Truong Gia Nguyen ◽  
Erik Lyttek ◽  
Pankaj Lal ◽  
Taylor Wieczerak ◽  
Pralhad Burli
Keyword(s):  
Land Use ◽  
Fuzzy Logic ◽  
Network Optimization ◽  
Urban Areas ◽  
Geographical Information Systems ◽  
Large Scale ◽  
Spatial Information ◽  
Geographical Information ◽  
Negative Consequences ◽  
Analytical Approaches

Bioenergy has been globally recognized as one of the sustainable alternatives to fossil fuels. An assured supply of biomass feedstocks is a crucial bottleneck for the bioenergy industry emanating from uncertainties in land-use changes and future prices. Analytical approaches deriving from geographical information systems (GIS)-based analysis, mathematical modeling, optimization analyses, and empirical techniques have been widely used to evaluate the potential for bioenergy feedstock. In this study, we propose a three-phase methodology integrating fuzzy logic, network optimization, and ecosystem services assessment to estimate potential bioenergy supply. The fuzzy logic analysis uses multiple spatial criteria to identify suitable biomass cultivating regions. We extract spatial information based on favorable conditions and potential constraints, such as developed urban areas and croplands. Further, the network analysis uses the road network and existing biorefineries to evaluate feedstock production locations. Our analysis extends previous studies by incorporating biodiversity and ecologically sensitive areas into the analysis, as well as incorporating ecosystem service benefits as an additional driver for adoption, ensuring that biomass cultivation will minimize the negative consequences of large-scale land-use change. We apply the concept of assessing the potential for switchgrass-based bioenergy in Missouri to the proposed methodology.

scholarly journals Biting rhythm, fecundity and longevity rate of Aedes albopictus (Skuse) females from different urbanized settings in Penang Island, Malaysia under uncontrolled laboratory conditions

2019 ◽  
Author(s):  
Nor Atikah Farhah Muhammad ◽  
Nur Faeza Abu Kassim ◽  
Abdul Hafiz Ab Majid ◽  
Hamady Dieng ◽  
Silas Wintuma Avicor
Keyword(s):  
Aedes Albopictus ◽  
Standard Error ◽  
Rural Areas ◽  
Disease Transmission ◽  
Urban Areas ◽  
Environmental Changes ◽  
Control Program ◽  
Laboratory Strain ◽  
Adult Survival ◽  
Fecundity Rate

AbstractUrbanization could potentially modify Aedes albopictus’ ecology by changing the dynamics of the species, and increasing the abundance of their breeding sites due to environmental changes, and thus contribute to dengue outbreaks. An efficient control of the vector requires a deeper understanding on the biological components of this vector. Thus, this study was conducted to evaluate the biting rhythm, fecundity and longevity rate of Ae. albopictus in relation to urbanization strata; urban, suburban and rural areas in Penang Island, Malaysia. The experiments were done in comparison to a laboratory strain. Twenty-four hours biting activity of all the mosquito strains showed a clear bimodal biting activity, with morning and evening twilight peaks. A two-way analysis of variance (ANOVA) found that there was statistically no significant interaction (F(69,192) = 1.337, P > 0.05) between the effects of biting time and mosquito strains. Meanwhile, fecundity rates were shown to be statistically significantly different between mosquito strains (F(3,442) = 10.559, P < 0.05) with urban areas having higher mean number of eggs (mean = 107.69, standard error = 3.98) than suburban (mean = 94.48, standard error = 5.18), and rural areas (mean = 72.52, standard error = 3.87). Longevity rates were significantly higher (F(3,441) = 31.259, P < 0.05) for mosquito strains from urban areas compared to the other strains. These findings would provide crucial and relevant fundamental information to the planning of control program in Malaysia, particularly Penang.Author SummaryAedes mosquito populations associated with human habitation in urban area do not only have the potential to cause biting nuisance, but also cause significant public health risks through the transmission of dengue virus. The socioeconomic effects of urbanization have been comprehensively studied by socio-ecologists, but the ecological effects and their impact on this vector biology was not known. The authors found that in Penang Island, the mean number of eggs laid per female of Aedes albopictus is high in the urban areas than those in suburban and rural areas. The survivorship is high for urban populations parallel to the fecundity rate and apparent biting pattern which is peak at dawn and dusk was noted for all Ae. albopictus strains. The changed environment in the urbanized area where more kinds of breeding containers and more blood sources produced by condensed human population supported by warm climate may facilitate larval development, enhance the vector survivorship and its reproductive fitness. These might be the reasons for quick adaptation and susceptibility of Ae. albopictus in urban areas. As higher fecundity rate and longer adult survival may enhance disease transmission, this species studied is indeed need high attention in terms of vector control.

scholarly journals Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements

2021 ◽  
Author(s):  
Xinyan Li ◽  
Yuanjian Yang ◽  
Jiaqin Mi ◽  
Xueyan Bi ◽  
You Zhao ◽  
...  
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Predictive Ability ◽  
Summer Precipitation ◽  
Reanalysis Data ◽  
Probability Of Detection ◽  
Model Framework ◽  
Quantitative Precipitation Estimation ◽  
Precipitation Estimation

Abstract. Deriving large-scale and high-quality precipitation products from satellite remote sensing spectral data is always challenging in quantitative precipitation estimation (QPE), and limited studies have been conducted even using the China’s latest Fengyun-4A (FY-4A) geostationary satellite. Taking three rainstorm events over South China as examples, a Random Forest (RF) model framework for FY-4A QPE during daytime/nighttime is established by using FY-4A multi-band spectral information, cloud parameters, high-density precipitation observations, and physical quantities from reanalysis data. During daytime (nighttime), the probability of detection of the RF model for precipitation is 0.99 (0.99), while the correlation coefficient and root-mean-square error between the retrieved and observed precipitation are 0.77 (0.82) and 1.84 (2.32) mm/h, respectively, indicating that the RF model of FY-4A QPE has high precipitation retrieval accuracy. In particular, the RF model exhibits good spatiotemporal predictive ability for precipitation intensities within the range of 0.5–10 mm/h. For the retrieved accumulated precipitation, the precipitation intensity exhibits a greater impact on the predictive ability of the QPE algorithm than the precipitation duration. Due to the higher density of automatic stations in urban areas, the accuracy of FY-4A QPE over such areas is higher compared with rural areas. Both the accumulated precipitation and the distribution density of automatic stations are more important factors for the predictive ability of the RF model of FY-4A QPE. In general, our proposed FY-4A QPE algorithm has advantages for near-real-time monitoring of summer precipitation over East Asia.

scholarly journals Passive Wi-Fi monitoring in the wild: a long-term study across multiple location typologies

2020 ◽  
Author(s):  
Miguel Ribeiro ◽  
Nuno Nunes ◽  
Valentina Nisi ◽  
Johannes Schöning
Keyword(s):  
Public Transportation ◽  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Tracking System ◽  
Human Mobility ◽  
Transportation Systems ◽  
Mobility Patterns ◽  
Systematic Analysis ◽  
Long Term Study

Abstract In this paper, we present a systematic analysis of large-scale human mobility patterns obtained from a passive Wi-Fi tracking system, deployed across different location typologies. We have deployed a system to cover urban areas served by public transportation systems as well as very isolated and rural areas. Over 4 years, we collected 572 million data points from a total of 82 routers covering an area of 2.8 km2. In this paper we provide a systematic analysis of the data and discuss how our low-cost approach can be used to help communities and policymakers to make decisions to improve people’s mobility at high temporal and spatial resolution by inferring presence characteristics against several sources of ground truth. Also, we present an automatic classification technique that can identify location types based on collected data.

China’s Low-Carbon Urbanization Progress and Pathway

2015 ◽  
Vol 03 (04) ◽  
pp. 1550028
Author(s):  
Benfan LIANG ◽  
Jiahua PAN ◽  
Ying ZHANG ◽  
Yanchun MENG ◽  
Shouxian ZHU
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
Great Influence ◽  
Low Carbon ◽  
Human Beings ◽  
High Carbon ◽  
Ecological Civilization ◽  
Urbanization Rate ◽  
Urban And Rural Areas

Low-carbon urbanization is the integration of urbanization and low carbonization. It is the low-carbon transformation of current urban areas, the new trend of developing model of urban and rural areas, which includes the low-carbon transition in production, living style, and ecological spaces, the low-carbon reform in economy, society, structure, and the developing model, as well as changing urban areas from high-carbon style to low-carbon style. The urbanization rate of China is almost the same with global average level, and is expected to reach 80% in 2050. Currently, urbanization replaces industrialization, becoming an important force influencing socio-economic development, climate and ecological environment changes, international relations, and political patterns. With a 2[Formula: see text]C rise in temperature, human beings have to face a series of risks brought by climate change. China’s large-scale urbanization is of great influence on others. In this context, it is necessary to take a scientific cognition of China’s urbanization process, clarifying urbanization developing pathway, turning carbon constraints into carbon bonus, avoiding high-carbon lock, and then to take opportunities in promoting economic structure under “new normal” conditions, accelerating the upgrade from urban civilization to ecological civilization, and to reach both 100-year goal and low-carbon developing goal, leading sustainable development globally.

scholarly journals An Empirical Diagnosis of the School-to-Work Process for Rural and Agricultural Development in China

2021 ◽  
Vol 13 (2) ◽  
pp. 778
Author(s):  
Jiangsheng Chen ◽  
Gideon Bolt ◽  
Yiwen Wang ◽  
Xiaoli Feng ◽  
Xuke Li
Keyword(s):  
Food Security ◽  
Sustainable Agriculture ◽  
Rural Areas ◽  
Urban Areas ◽  
Large Scale ◽  
School To Work ◽  
University Graduates ◽  
Family Farms ◽  
Work Process ◽  
The Government

Rural areas in China struggle with a scarcity of young farmers and the rapid aging of farming labor. Attracting and retaining university graduates in rural areas is key to achieving the goals of The Rural Revitalization Strategy of the government, which ultimately seeks to guarantee sustainable agriculture and food security in China. This study examines whether the school-to-work process in China is beneficially aligned to these goals. Survey data were collected from graduates in June 2016, and logistic models were generated to identify the probabilities of, and explore the influences on, school-to-rural outcomes. The findings reveal that most graduates who relocate to rural areas are more likely directed there from urban areas. Graduates with rural backgrounds are more likely to become rural successors than graduates with urban backgrounds. The phenomenon of children taking up the occupation of a parent is observed among those with agricultural degrees and rural backgrounds, which will facilitate the school-to-work process and improve agricultural production. In order to achieve a mix of family farms, large-scale farmlands, and educated farmers to improve food security and sustainable agriculture, the following key considerations for agricultural policy in China are proposed: provide adequate incentives, remove obstacles, and streamline the process of school-to-farming.

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