Classification of key aerosol types and their frequency distributions based on satellite remote sensing data at an industrially polluted city in the Yangtze River Delta, China

2017 ◽  
Vol 38 (1) ◽  
pp. 320-336 ◽  
Author(s):  
K. Raghavendra Kumar ◽  
Na Kang ◽  
Yan Yin
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Yangtze River ◽  
Remote Sensing Data ◽  
Yangtze River Delta ◽  
The Yangtze River ◽  
Frequency Distributions ◽  
Aerosol Types ◽  
The Yangtze River Delta

Classification of the Urbanization Types in the Yangtze River Delta

2012 ◽  
Vol 174-177 ◽  
pp. 3603-3606
Author(s):  
Li Yang ◽  
Wei Zhang ◽  
Juan Xu
Keyword(s):  
Yangtze River ◽  
Principal Component ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Environmental Press ◽  
The Index System ◽  
The Yangtze River Delta

The Yangtze River Delta was selected as a case study to evaluate urban sustainability based on the index system, which was composited of economic development, social development, resources and environmental press. Factor analysis was applied to extract principal component. Then based on the factor scores of the principal components extracted from three aspects, four urbanization types are obtained.

scholarly journals Exploring the Relationship between Urbanization and Ecological Environment Using Remote Sensing Images and Statistical Data: A Case Study in the Yangtze River Delta, China

2020 ◽  
Vol 12 (14) ◽  
pp. 5620 ◽  
Author(s):  
Zhenfeng Shao ◽  
Lin Ding ◽  
Deren Li ◽  
Orhan Altan ◽  
Md. Enamul Huq ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Yangtze River ◽  
Statistical Data ◽  
Yangtze River Delta ◽  
River Delta ◽  
Ecological Environment ◽  
The Yangtze River ◽  
Remote Sensing Images ◽  
The Yangtze River Delta ◽  
Coordination Degree

With the rapid urban development in China, urbanization has brought more and more pressure on the ecological environment. As one of the most dynamic, open, and innovative regions in China, the eco-environmental issues in the Yangtze River Delta have attracted much attention. This paper takes the central region of the Yangtze River Delta as the research object, through building the index system of urbanization and ecological environment based on statistical data and two new indicators (fraction of vegetation coverage and surface urban heat island intensity) extracted from remote sensing images, uses the Entropy-TOPSIS method to complete the comprehensive assessment, and then analyzes the coupling coordination degree between the urbanization and ecological environment and main obstacle factors. The results showed that the coupling coordination degree in the study region generally shows an upward trend from 0.604 in 2008 to 0.753 in 2017, generally changing from an imbalanced state towards a basically balanced state. However, regional imbalance of urbanization and ecological environment always exists, which is mainly affected by social urbanization, economic urbanization, landscape urbanization, pollution loading and resource consumption. Finally, on the basis of the obstacle factor analysis, some specific suggestions for promoting the coordinated development of the Yangtze River Delta are put forward.

scholarly journals Mapping 10-m Resolution Rural Settlements Using Multi-Source Remote Sensing Datasets with the Google Earth Engine Platform

2020 ◽  
Vol 12 (17) ◽  
pp. 2832 ◽  
Author(s):  
Hanyu Ji ◽  
Xing Li ◽  
Xinchun Wei ◽  
Wei Liu ◽  
Lianpeng Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
Google Earth ◽  
Kappa Coefficient ◽  
The Yangtze River ◽  
Rural Settlements ◽  
Training Samples ◽  
Google Earth Engine ◽  
The Yangtze River Delta

Timely and accurate information on rural settlements is essential for rural development planning. Remote sensing has become an important means for accurately mapping large scale rural settlements. Nevertheless, numerous difficulties remain in accurate and efficient rural settlement extraction. In this study, by combining multi-dimensional features derived from Sentinel-1/2 images, Visible Infrared Imaging Radiometer Suite supporting a Day-Night Band (VIIRS-DNB) dataset, and Digital Elevation Model (DEM) data using the Google Earth Engine (GEE) platform, we proposed an efficient framework with good transferability for mapping rural settlements in the Yangtze River Delta. To avoid the time-consuming selection of a large number of training samples in the whole study area, we employed four random forest models obtained from the training samples in respective training municipal districts in four different regions to classify other municipal districts in their corresponding region. We found that different features play diverse vital roles in the extraction of rural settlements in various regions. Compared to results only using optical data, accuracies obtained by the proposed method were significantly improved. The average user’s accuracy, producer’s accuracy, overall accuracy, and Kappa coefficient increased by 16.75%, 17.75%, 11.50%, and 14.50% in the four training municipal administrative areas, respectively. The overall accuracy and Kappa coefficient were 96% and 0.84, respectively. By contrast, our classification results are superior to other public datasets. The final mapping results provided a detailed spatial distribution of the rural settlements in the Yangtze River Delta and revealed that the total area of rural settlements is approximately 32,121.1 km2, accounting for 17.41% of the total area. The high-density rural settlements are mainly distributed in the Northern Plain and East Coast, while the low-density rural settlements are located in the Central Hills and Southern Mountain.

scholarly journals Spatial and Temporal Pattern Analysis of Land Use in Yangtze River Delta Based on Remote Sensing and GIS in Intelligent Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hongbing Hu ◽  
Linyuan Wu ◽  
Yulan Zhan ◽  
Shuhui Zhang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Intelligent Environment ◽  
Delta Region ◽  
Yangtze River Delta Region ◽  
The Yangtze River Delta

Land use change plays an important role in regional socio-economic development and global environmental change. Whether the land is effectively and efficiently used is not only related to the income level of the people in the surrounding cities but also closely related to the local economy and national economy. Intelligent environment refers to the indoor environment with a variety of data acquisition equipment. Combined with related technologies, the reasoning and analysis of the data can be used to realize the functions of activity identification, data perception, and control. In addition, the Yangtze River Delta is an economically developed area in China, and its land use situation is related to the economic development in the next ten or even decades. Therefore, it is necessary to analyze the spatial and temporal pattern of land use in Yangtze River Delta region by remote sensing image technology and GIS in intelligent environment. Based on intelligent environment, this paper uses RS and GIS technology to interpret remote sensing image and map land use in multitemporal coastal zone. The land use dynamic degree model and spatial interpolation method were used to analyze and evaluate the spatial and temporal evolution characteristics of land use in the Yangtze River Delta region, and the landscape pattern changes in the Yangtze River Delta region were analyzed and evaluated. This study found that the land use types in the Yangtze River Delta have transformed each other, and the land use change speed is fast, which is inseparable from the rapid economic development. In the future, in addition to maintaining the rapid and stable development of industry, the rational use of limited land resources, the improvement of agricultural development short board, and the improvement of tourism economic benefits will make the economy of the Yangtze River Delta region to a new level.

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