Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques-A case study of a hilly area, Jiangle, China

PloS One
Chen LipingSajjad Saeed

Abstract

Land use and land cover change research has been applied to landslides, erosion, land planning and global change. Based on the CA-Markov model, this study predicts the spatial patterns of land use in 2025 and 2036 based on the dynamic changes in land use patterns using remote sensing and geographic information system. CA-Markov integrates the advantages of cellular automata and Markov chain analysis to predict future land use trends based on studies of land use changes in the past. Based on Landsat 5 TM images from 1992 and 2003 and Landsat 8 OLI images from 2014, this study obtained a land use classification map for each year. Then, the genetic transition probability from 1992 to 2003 was obtained by IDRISI software. Based on the CA-Markov model, a predicted land use map for 2014 was obtained, and it was validated by the actual land use results of 2014 with a Kappa index of 0.8128. Finally, the land use patterns of 2025 and 2036 in Jiangle County were determined. This study can provide suggestions and a basis for urban development planning in Jiangle County.

References

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Citations

Oct 19, 2019·Environmental Monitoring and Assessment·Chen LipingSun Yujun
Jun 7, 2020·Environmental Science and Pollution Research International·Sam Navin MohanRajanPrabukumar Manoharan
Nov 10, 2020·The Science of the Total Environment·Jingyu LinBrett A Bryan
Aug 12, 2020·Journal of Environmental Management·Noura Bakr, Osama R Abd El-Kawy
Feb 28, 2021·Environmental Monitoring and Assessment·Nabaz R Khwarahm
Mar 10, 2021·Environmental Monitoring and Assessment·Alessandra Leite da SilvaRegina Márcia Longo

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Software Mentioned

ArcGIS
Google Earth
OpenStreetMap
VALIDATE
IDRISI
Google Maps
MCE

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