LIVIVO - Search results -

Search results

Result 1 - 10 of total 23

Search options

Article ; Online: Near real-time retrieval of lake surface water temperature using Himawari-8 satellite imagery and machine learning techniques

Kaifang Shi / Jing-Cheng Han / Peng Wang

Frontiers in Environmental Science, Vol

a case study in the Yangtze River Basin

2024 Volume 11

Abstract: Lake Surface Water Temperature (LSWT) is essential for understanding and regulating various processes in lake ecosystems. Remote sensing for large-scale aquatic monitoring offers valuable insights, but its limitations call for a dynamic LSWT monitoring ... ...

Abstract	Lake Surface Water Temperature (LSWT) is essential for understanding and regulating various processes in lake ecosystems. Remote sensing for large-scale aquatic monitoring offers valuable insights, but its limitations call for a dynamic LSWT monitoring model. This study developed multiple machine learning models for LSWT retrieval of four representative freshwater lakes in the Yangtze River Basin using Himawari-8 (H8) remote sensing imagery and in-situ data. Based on the in situ monitoring dataset in Lake Chaohu, the dynamic LSWT retrieval models were effectively configured and validated to perform H8-based remote sensing inversion. The test results showed that six models provided satisfactory LSWT retrievals, with the Back Propagation (BP) neural network model achieving the highest accuracy with an R-squared (R2) value of 0.907, a Root Mean Square Error (RMSE) of 2.52°C, and a Mean Absolute Error (MAE) of 1.68°C. Furthermore, this model exhibited universality, performing well in other lakes within the Yangtze River Basin, including Taihu, Datonghu and Dongtinghu. The ability to derive robust LSWT estimates confirms the feasibility of real-time LSWT retrieval using synchronous satellites, offering a more efficient and accurate approach for LSWT monitoring in the Yangtze River Basin. Thus, this proposed model would serve as a valuable tool to support the implementation of more informed policies for aquatic environmental conservation and sustainable water resource management, addressing challenges such as climate change, water pollution, and ecosystem restoration.
Keywords	water quality ; remote sensing retrieval ; synchronous Satellite ; LSWT ; machine learning ; Environmental sciences ; GE1-350
Subject code	333 ; 550
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: What Factors Dominate the Change of PM 2.5 in the World from 2000 to 2019? A Study from Multi-Source Data

Xiankang Xu / Kaifang Shi / Zhongyu Huang / Jingwei Shen

International Journal of Environmental Research and Public Health, Vol 20, Iss 2282, p

2023 Volume 2282

Abstract: As the threat to human life and health from fine particulate matter (PM 2.5 ) increases globally, the life and health problems caused by environmental pollution are also of increasing concern. Understanding past trends in PM 2.5 and exploring the drivers ...

Abstract	As the threat to human life and health from fine particulate matter (PM 2.5 ) increases globally, the life and health problems caused by environmental pollution are also of increasing concern. Understanding past trends in PM 2.5 and exploring the drivers of PM 2.5 are important tools for addressing the life-threatening health problems caused by PM 2.5 . In this study, we calculated the change in annual average global PM 2.5 concentrations from 2000 to 2020 using the Theil–Sen median trend analysis method and reveal spatial and temporal trends in PM 2.5 concentrations over twenty-one years. The qualitative and quantitative effects of different drivers on PM 2.5 concentrations in 2020 were explored from natural and socioeconomic perspectives using a multi-scale geographically weighted regression model. The results show that there is significant spatial heterogeneity in trends in PM 2.5 concentration, with significant decreases in PM 2.5 concentrations mainly in developed regions, such as the United States, Canada, Japan and the European Union countries, and conversely, significant increases in PM 2.5 in developing regions, such as Africa, the Middle East and India. In addition, in regions with more advanced science and technology and urban management, PM 2.5 concentrations are more evenly influenced by various factors, with a more negative influence. In contrast, regions at the rapid development stage usually continue their economic development at the cost of the environment, and under a high intensity of human activity. Increased temperature is known as the most important factor for the increase in PM 2.5 concentration, while an increase in NDVI can play an important role in the reduction in PM 2.5 concentration. This suggests that countries can achieve good air quality goals by setting a reasonable development path.
Keywords	PM 2.5 ; global trend analysis ; multi-scale geographically weighted regression ; Medicine ; R
Subject code	290
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Impacts of slope climbing of urban expansion on global sustainable development

Kaifang Shi / Bailang Yu / Jinji Ma / Weidong Cao / Yuanzheng Cui

The Innovation, Vol 4, Iss 6, Pp 100529- (2023)

2023

Keywords	Science (General) ; Q1-390
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Identifying and evaluating suburbs in China from 2012 to 2020 based on SNPP–VIIRS nighttime light remotely sensed data

Shirao Liu / Kaifang Shi / Yizhen Wu

International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103041- (2022)

2022

Abstract: Suburbs, as bridges between urban areas and rural hinterlands, are areas with the most intense urban–rural conflicts and drastic land use changes in the urbanization process. Accurate identification and evaluation of suburbs are important to effectively ... ...

Abstract	Suburbs, as bridges between urban areas and rural hinterlands, are areas with the most intense urban–rural conflicts and drastic land use changes in the urbanization process. Accurate identification and evaluation of suburbs are important to effectively break the urban–rural dichotomy, improve the utilization and management of land resources, and promote urban–rural integration and coordinated development. Previous suburb identification studies have suffered from low identification efficiency owing to the influence of subjective factors, small scales, short time-series, and single data characteristics. Thus, we took China as experimental object, and attempted to identify suburbs from the Suomi National Polar-orbit Partnership’s Visible Infrared Imaging Radiometer Suite (SNPP–VIIRS) nighttime light remotely sensed data using the K-means algorithm and subsequent series of post-processing approaches. Thereafter, our study further evaluated the spatiotemporal dynamics and driving factors of suburb development. Accuracy verification results show that suburb identification based on SNPP–VIIRS data can identify more details than the existing urban area data and Defense Meteorological Satellite Program’s Operational Linescan System data. Compared with traditional mutation detection methods, the proposed method has the advantages of being fast, efficient, and less subjective. Furthermore, we found that China’s suburbs present a fluctuation-growth trend, with the proportions increasing from 0.6% to 1.3% in the period 2012–2020. China’s suburb development was mainly driven by the development of population density, GDP, and road network. Our study provides an innovative way to conduct a rapid, efficient, and large-scale and accurate suburb identification over a long time series, thereby facilitating the study of socio-environmental issues in the urbanization process. The annual series (2012–2020) of suburbs in China are available free of charge at https://doi.org/10.7910/DVN/M5EED5.
Keywords	Suburbs ; Nighttime light data ; SNPP–VIIRS ; K-means algorithm ; China ; Physical geography ; GB3-5030 ; Environmental sciences ; GE1-350
Subject code	710
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: The Regional Disparity of Urban Spatial Expansion Is Greater than That of Urban Socioeconomic Expansion in China

Zhijian Chang / Shirao Liu / Yizhen Wu / Kaifang Shi

Remote Sensing, Vol 14, Iss 4348, p

A New Perspective from Nighttime Light Remotely Sensed Data and Urban Land Datasets

2022 Volume 4348

Abstract: The regional disparity of urban expansion varies significantly in China’s different regions, hindering sustainable socioeconomic development. However, most studies to date have focused on a single aspect of urban expansion, e.g., urban spatial expansion ( ...

Abstract	The regional disparity of urban expansion varies significantly in China’s different regions, hindering sustainable socioeconomic development. However, most studies to date have focused on a single aspect of urban expansion, e.g., urban spatial expansion (USS) disparity. This study attempts to define urban expansion from USS and urban socioeconomic expansion (USE) based on nighttime light remotely sensed (NTL) data and urban land datasets. Then, taking China’s 241 prefecture-level cities within different provinces as experimental subjects, the Dagum Gini (DG) coefficient and stochastic convergence test are employed to assess the disparity of urban expansion from two different dimensions. The results show that, on the national scale, the regional disparity of USS is always greater than that of USE and has a converging trend. Additionally, regional disparity is the main factor causing the difference between USS and USE, with average contribution rates of 55% and 45%, respectively. The average difference between USS and USE in the eastern region (ER) is greater than 10%, while it is the lowest in the northeastern region (NER) and shows a significant expansion trend in performance convergence with a regression coefficient of 0.0022, followed by the central (CR), eastern, and western (WR) regions. Through the panel unit root test, we found that urban expansion in China in terms of USS and USE has internal random convergence in certain regions under the premise of global random divergence, and there may be differentiation and formation of one or more convergence clubs in the future. Using this novel perspective to define urban expansion, this study quantifies the contributions of USS and USE to regional disparity and provides a scientific basis for governments to implement appropriate approaches to sustainable urban development in different regions.
Keywords	nighttime light data ; urban expansion ; regional disparity ; Gini coefficient ; stochastic convergence ; Science ; Q
Subject code	910
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Quantifying and evaluating the effect of urban expansion on the fine particulate matter (PM2.5) emissions from fossil fuel combustion in China

Kaifang Shi / Yizhen Wu / Linyi Li

Ecological Indicators, Vol 125, Iss , Pp 107541- (2021)

2021

Abstract: There is no consensus on the effect of China’s rapid urban expansion on the fine particulate matter (PM2.5) emissions from fossil fuel combustion (PC). Previous studies usually focused on the environmental effect of urban expansion from a single mode (e ... ...

Abstract	There is no consensus on the effect of China’s rapid urban expansion on the fine particulate matter (PM2.5) emissions from fossil fuel combustion (PC). Previous studies usually focused on the environmental effect of urban expansion from a single mode (e.g., spatial expansion). However, studies that simultaneously considered and compared the effect from spatial and socioeconomic modes are still lacking. Thus, we combined multiple data sources (e.g., nighttime light data, urban land datasets, and PC) and econometric methods to evaluate the effect of urban expansion on PC within different regions from spatial and socioeconomic modes. The results show that China’s urban socioeconomic expansion (UE) and urban spatial expansion (US) increased from 68.50% and 11.81 × 10−4, respectively, in 1992 to 72.23% and 66.86 × 10−4, respectively in 2012. The UE is the Granger cause of the increased PC in China. Through variance decomposition analysis, we also found that the UE contributed much more to the PC in China than the US. When comparing the different regions, we recognized that the UE was the key factor in explaining the increase in the PC in the eastern and northeastern regions, and the US could effectively explain the changes in the PC in the central region. The study provides a novel perspective for quantifying the effect of urban intensive and extensive development on haze pollution.
Keywords	Nighttime light data ; PM2.5 emissions ; Urban socioeconomic expansion ; Urban spatial expansion ; Ecology ; QH540-549.5
Subject code	710
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: The Effects of Urban Forms on the PM 2.5 in China

Mingyue Jiang / Yizhen Wu / Zhijian Chang / Kaifang Shi

International Journal of Environmental Research and Public Health, Vol 18, Iss 3785, p

A Hierarchical Multiscale Analysis

2021 Volume 3785

Abstract: For a better environment and sustainable development of China, it is indispensable to unravel how urban forms (UF) affect the fine particulate matter (PM 2.5 ) concentration. However, research in this area have not been updated consider multiscale and ... ...

Abstract	For a better environment and sustainable development of China, it is indispensable to unravel how urban forms (UF) affect the fine particulate matter (PM 2.5 ) concentration. However, research in this area have not been updated consider multiscale and spatial heterogeneities, thus providing insufficient or incomplete results and analyses. In this study, UF at different scales were extracted and calculated from remote sensing land-use/cover data, and panel data models were then applied to analyze the connections between UF and PM 2.5 concentration at the city and provincial scales. Our comparison and evaluation results showed that the PM 2.5 concentration could be affected by the UF designations, with the largest patch index (LPI) and landscape shape index (LSI) the most influential at the provincial and city scales, respectively. The number of patches (NP) has a strong negative influence (−0.033) on the PM 2.5 concentration at the provincial scale, but it was not statistically significant at the city scale. No significant impact of urban compactness on the PM 2.5 concentration was found at the city scale. In terms of the eastern and central provinces, LPI imposed a weighty positive influence on PM 2.5 concentration, but it did not exert a significant effect in the western provinces. In the western cities, if the urban layout were either irregular or scattered, exposure to high PM 2.5 pollution levels would increase. This study reveals distinct ties of the different UF and PM 2.5 concentration at the various scales and helps to determine the reasonable UF in different locations, aimed at reducing the PM 2.5 concentration.
Keywords	urban forms ; PM 2.5 concentration ; modifiable areal unit problem ; spatial heterogeneity ; multiscale analysis ; Medicine ; R
Subject code	290
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Quantifying and Evaluating the Cultivated Areas Suitable for Fallow in Chongqing of China Using Multisource Data

Yuanqing Li / Kaifang Shi / Yahui Wang / Qingyuan Yang

Land, Vol 10, Iss 1, p

2021 Volume 74

Abstract: The quantitative evaluation of the suitability of land fallow is of great significance to the effective implementation of fallow system in rural China. The purpose of this study is to systematically evaluate the cultivated areas suitable for fallow in ... ...

Abstract	The quantitative evaluation of the suitability of land fallow is of great significance to the effective implementation of fallow system in rural China. The purpose of this study is to systematically evaluate the cultivated areas suitable for fallow in Chongqing, China. The results show that: (1) a comprehensive index of cultivated land fallow (ILF) was developed by employing a series of multi—source data, and the ILF has been proven as an effective proxy to identify the cultivated areas suitable for fallow; (2) cultivated land with ILF values above the average value accounts for 34.38% (9902 km 2 ) of the total cultivated land; (3) the ILF is negatively correlated with the population density, transportation proximity, and proportion of inclined area. This study argued that the ILF can reflect the cultivated areas suitable for fallow in Chongqing and can provide guidance for the spatial distribution of cultivated land fallow. The findings indicated that the differences in geographical elements between karst and non—karst areas must be further investigated, and the evaluation accuracy of the cultivated areas suitable for fallow must be improved.
Keywords	cultivated land fallow ; suitability evaluation ; land use change ; multisource data ; Chongqing ; China ; Agriculture ; S
Subject code	333
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: A Multiscale Evaluation of the Coupling Relationship between Urban Land and Carbon Emissions

Chuanlong Li / Yuanqing Li / Kaifang Shi / Qingyuan Yang

International Journal of Environmental Research and Public Health, Vol 17, Iss 3416, p

A Case Study of Chongqing, China

2020 Volume 3416

Abstract: Exploring the coupling relationship between urban land and carbon emissions (CE) is one of the important premises for coordinating the urban development and the ecological environment. Due to the influence of the scale effect, a systematic evaluation of ... ...

Abstract	Exploring the coupling relationship between urban land and carbon emissions (CE) is one of the important premises for coordinating the urban development and the ecological environment. Due to the influence of the scale effect, a systematic evaluation of the CE at different scales will help to develop more reasonable strategies for low-carbon urban planning. However, corresponding studies are still lacking. Hence, two administrative scales (e.g., region and county) in Chongqing were selected as experimental objects to compare and analyze the CE at different scales using the spatiotemporal coupling and coupling coordination models. The results show that urban land and carbon emissions presented a significant growth trend in Chongqing at different scales from 2000 to 2015. The strength of the spatiotemporal coupling relationship between urban land and total carbon emissions gradually increased with increasing scale. At the regional scale, the high coupling coordination between urban land and total carbon emissions was mainly concentrated in the urban functional development region. Additionally, the high coupling coordination between urban land and carbon emission intensity (OI) was still located in the counties within the metropolitan region of Chongqing, but the low OI was mainly distributed in the counties in the northeastern and southeastern regions of Chongqing at the county level. This study illustrates the multiscale trend of CE and suggests differentiated urban land and carbon emission reduction policies for controlling urban land sprawl and reducing carbon emissions.
Keywords	coupling relationship ; urban land ; carbon emissions ; scale comparison ; Chongqing ; Medicine ; R
Subject code	710
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data

Yun Zhou / Mingguo Ma / Kaifang Shi / Zhenyu Peng

ISPRS International Journal of Geo-Information, Vol 9, Iss 369, p

2020 Volume 369

Abstract: Gridded population results at a fine resolution are important for optimizing the allocation of resources and researching population migration. For example, the data are crucial for epidemic control and natural disaster relief. In this study, the random ... ...

Abstract	Gridded population results at a fine resolution are important for optimizing the allocation of resources and researching population migration. For example, the data are crucial for epidemic control and natural disaster relief. In this study, the random forest model was applied to multisource data to estimate the population distribution in impervious areas at a 30 m spatial resolution in Chongqing, Southwest China. The community population data from the Chinese government were used to validate the estimation accuracy. Compared with the other regression techniques, the random forest regression method produced more accurate results (R 2 = 0.7469, RMSE = 2785.04 and p < 0.01). The points of interest (POIs) data played a more important role in the population estimation than the nighttime light images and natural topographical data, particularly in urban settings. Our results support the wide application of our method in mapping densely populated cities in China and other countries with similar characteristics.
Keywords	population mapping ; points of interest ; random forest ; urban area ; Chongqing ; Geography (General) ; G1-922
Subject code	333 ; 310
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED