RETRACTED ARTICLE: Application of active remote sensing in confirmation rights and identification of mortgage supply-demand subjects of rural land in Guangdong Province

Abstract

In recent years, the remote sensing data plays an increasingly significant role in Land use prediction modeling. The effects of land conversion and agricultural bio production are evaluated using remote sensing and economic analysis. It is impossible to over-emphasize the advantages of the vibrant, efficient hybrid mortgage market in Guangdong as it is inseparably linked to economic development. This paper explores specifically the main variables affecting residential mortgage demand and other restrictions on households' use of a mortgage using the Fuzzy Systematic Evaluation System (FSES). Furthermore, this objective has been accomplished by examining and analyzing the available mortgage products in Guandong through questionnaire survey responses. In addition, the high-interest rates, low income, and house prices result in high and unreasonable repayment-to-earnings mortgages ratios. Moreover, the cumulative effect of this is to make households on low and mid-income prices to the mortgage market. While higher house prices are found in this study to increase mortgage demand, they trigger banks to offer fewer and charge higher rates, particularly after the boom, and especially for highly leveraged households.

RETRACTED ARTICLE: Guest editorial of the special issue “remote sensing in water management and hydrology”

“…The next article in this special section is entitled "Application of active remote sensing in confirmation rights and identification of mortgage supply-demand subjects of rural land in Guangdong Province," and it is co-authored by Hu et al (2020). The author develops a land-use prediction model using remote sensing and deep learning to preserve the hydrological water cycle.…”

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“…SCM's successful approach includes compromises between principles, including maximization of value and convergence of systems (Abdel-Basset et al, 2020), enhancement of reliability (Priyan et al, 2019), and reduced processing time (Hu et al, 2020). Successful SCM calls for extensive coordination and participation to organize and improve competitivity within supply chains for production, distribution, and materials management activities (VE et al, 2020).…”

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