Back to results list
Please use this identifier to cite or link to this item:
|Title:||Monitoring of land use/land cover and socioeconomic changes in South China over the last three decades using landsat and nighttime light data||Authors:||Hasan, S
|Keywords:||Land use land cover
Nighttime light data
|Issue Date:||2019||Publisher:||Molecular Diversity Preservation International (MDPI)||Source:||Remote sensing, 2 July 2019, v. 11, no. 14, 1658, p. 1-23 How to cite?||Journal:||Remote sensing||Abstract:||Land use and land cover changes (LULCC) are prime variables that reflect changes in ecological systems. The Guangdong, Hong Kong, and Macau (GHKM) region located in South China has undergone rapid economic development and urbanization over the past three decades (1986-2017). Therefore, this study investigates the changes in LULC of GHKM based on multi-year Landsat and nighttime light (NTL) data. First, a supervised classification technique, i.e., support vector machine (SVM), is used to classify the Landsat images into seven thematic classes: forest, grassland, water, fishponds, built-up, bareland, and farmland. Second, the demographic activities are studied by calculating the light index, using nighttime light data. Third, several socioeconomic factors, derived from statistical yearbooks, are used to determine the impact on the LULCC in the study area. The post-classification change detection shows that the increase in the urban area, from 0.76% (1488.35 km(2)) in 1986 to 10.31% (20,643.28 km(2)) in 2017, caused GHKM to become the largest economic segment in South China. This unprecedented urbanization and industrialization resulted in a substantial reduction in both farmland (from 53.54% (105,123.93 km(2)) to 33.07% (64,932.19 km(2))) and fishponds (from 1.25% (2463.35 km(2)) to 0.85% (1674.61 km(2))) during 1986-2017. The most dominant conversion, however, was of farmland to built-up area. The subsequent urban growth is also reflected in the increasing light index trends revealed by NTL data. Of further interest is that the overall forest cover increased from 33.24% (65,257.55 km(2)) to 45.02% (88,384.19 km(2)) during the study period, with a significant proportion of farmland transformed into forest as a result of different afforestation programs. An analysis of the socioeconomic indicators shows that the increase in gross domestic product, total investment in real estate, and total sales of consumer goods, combined with the overall industrialization, have led to (1) urbanization on a large scale, (2) an increased light index, and (3) the reduction of farmland. The speed of development suggests that opportunistic development has taken place, which requires a pressing need to improve land policies and regulations for more sustainable urban development and protection of farmland.||URI:||http://hdl.handle.net/10397/81338||EISSN:||2072-4292||DOI:||10.3390/rs11141658||Rights:||© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Hasan, S.; Shi, W.; Zhu, X.; Abbas, S. Monitoring of Land Use/Land Cover and Socioeconomic Changes in South China over the Last Three Decades Using Landsat and Nighttime Light Data. Remote Sens. 2019, 11, 1658, 1-23 is available at https://dx.doi.org/10.3390/rs11141658
|Appears in Collections:||Journal/Magazine Article|
Show full item record
Files in This Item:
|Hasan_Monitoring_Land_Use.pdf||5.77 MB||Adobe PDF||View/Open|
Citations as of Oct 22, 2019
Citations as of Oct 22, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.