• editor.aipublications@gmail.com
  • Track Your Paper
  • Contact Us
  • ISSN: 2456-8678

International Journal Of Rural Development, Environment And Health Research(IJREH)

Analysis of Cultivated Land in Maonan District, Maoming Based on RS and GIS

Shujie Feng , Ruei-Yuan Wang , Haolong Liu , Yun-Shang Wang


International Journal of Rural Development, Environment and Health Research(IJREH), Vol-7,Issue-4, July - August 2023, Pages 92-102, 10.22161/ijreh.7.4.9

Download | Downloads : | Total View : 363

Article Info: Received: 08 Jul 2023; Received in revised form: 08 Aug 2023; Accepted: 15 Aug 2023; Available online: 22 Aug 2023

Share

Food is the most basic human survival need, and cultivated land is the basis of food production. Thereby, monitoring and analysis of cultivated land is the premise and foundation of sustainable agricultural development. In this paper, Maonan District of Maoming City was taken as the research area. The object-oriented classification and cultivated land extraction were carried out by Landsat-8 remote sensing (RS) images, and then a confusion matrix and kappa coefficient were used to evaluate the accuracy of the cultivated land extraction results. The results show that the cultivated land in this area is decreasing. The extraction results of the confusion matrix and Kappa coefficient evaluation were accurate, and the Kappa coefficients of the three different periods were all higher than 0.6. Moreover, the main reasons for the decrease of cultivated land in the study area are population growth, socio-economic development, and the adjustment and change of agricultural structure.

Remote sensing (RS); Geography Information System (GIS); Object-Oriented Classification; Cultivated Land Extraction; Confusion matrix

[1] Chen, S., and Ma, Z. Temporal and Spatial Characteristics and Optimization of the Intensive Use of Cultivated Land in Maoming City. Journal of Resources and Ecology, 2020, 11(06):598. DOI:10.5814/j.issn.1674-764x.2020.06.007
[2] Gao, F., and Wang, R, Y. Evaluation of Natural Suitability of Human Settlements Environment in Hangzhou Based on GIS. International Journal of Environment Agriculture and Biotechnology, 2023, 8(4): 030-039. doi:10.22161/ijeab.84.4
[3] Huang, S., and Zhao, Y. Spatial and Temporal evolution of land use and its driving Factors in Maonan District, Maoming City (1987-2017). Tropical Geomorphology, 2018, 39(01):1-10.
[4] Li, Z., Zha, S., Huo, W., Wang, L., Guo, W., and Sun, D. Remote Sensing Monitoring of Recessive Degradation for Cultivated Land Productivity and Its Influencing Factors. Transactions of the Chinese Society for Agricultural Machinery, 2202, 1-18. http://kns.cnki.net/kcms/detail/11.1964.S.20220126.1527.008.html
[5] Liang, W., and Wang, R, Y. A Change Analysis of Land Use and Carbon Storage in Maoming Based on the InVEST Model and GIS. International Journal of Environment Agriculture and Biotechnology, 2023, 8(4):078-094. doi:10.22161/ijeab.84.10
[6] Liu, D. and Xia, F. Assessing object-based classification: advantages and limitations, Remote Sensing Letters, 2010, 1(4): 87-194, DOI:10.1080/01431161003743173
[7] Ma, Y., Wang, C., Zhao, Q., Ren, Y., and Tian, W. Based on GF-1 desert cultivated land classification and extraction methods of remote sensing image analysis. Journal of shihezi university (natural science edition), 2021, 33 (3) 6:383-390. DOI: 10.13880 / j.carol carroll nki. 65-1174 / n. 2021.21.012.
[8] Wang, J. Land use change and ecological security assessment in Chengdu Plain based on remote sensing and GIS. Sichuan Normal University, 2018.
[9] Wei, H., Hu, J., Yang, R., Mao, T., and Xu, X. Spatio-temporal analysis of land use structure evolution based on remote sensing and GIS: A Case Study of Jurong, Jiangsu Province. Liaoning Agricultural Sciences, 2016(06): 40-43.
[10] Wu, T. T. Analysis of land use/cover change based on remote sensing and GIS. China University of Geosciences (Beijing), 2012.
[11] Xi, W., Du S., and Du, S. Multi-temporal cultivated land cover extraction and change analysis: a spatio-temporal context method combining remote sensing and spatial statistics. Journal of Geoinformation Science, 2022, 24(02): 310-325.
[12] Xu, L. Wang, R, Y. and Zhu, Z. Analysis of Land Use Evolution of Suzhou Wetlands Based on RS and GIS. International Journal of Environment Agriculture and Biotechnology. 2023, 8(4), 118-131. Doi:10.22161/ijeab.84.13
[13] Zhang, H., Li, Z., and Zhao, H. An analysis of agricultural competitiveness in Guangdong Province. Gansu agriculture, 2022, (04):12-16. DOI: 10.15979/J. CNKI. CN62-1104/F. 2022.04.030.
[14] Zhang, H., Tian, T., Zhang, Q., Lu, Z., Shi, C., Tan, C., Luo, M., and Qian, C. Remote sensing extraction of rice from broken area of cultivated land based on GF-1 image [J]. Remote Sensing Technology and Application, 2019, 34(04):785-792.
[15] Zhang, Q., and Wang, R, Y. Spatial-Temporal Evolution Characteristics of Vegetation Coverage and Urbanization Expansion in Dongguan Based on Remote Sensing. International Journal of Environment Agriculture and Biotechnology, 2023, 8(4): 051-062. doi:10.22161/ijeab.84.7
[16] Zhou, L. Extraction and analysis of cultivated land based on remote sensing and GIS. Sichuan Normal University, 2021. DOI: 10.27347/d. CNKI. GSSDU.2021.000547.