Back to Search Start Over

Analysis of LULC change dynamics and its impact assessment using CA-ANN model in part of Coimbatore region, India.

Authors :
Anand, B.
Rekha, R. Shanmathi
Radhakrishnan, Nisha
Ramaswamy, K.
Source :
GeoJournal; Dec2023, Vol. 88 Issue 6, p5825-5845, 21p
Publication Year :
2023

Abstract

Understanding the LULC change is essential to adopt the new development activities in the particular study area. The study reveals the LULC change for four different decades (1990, 2000, 2011, and 2022) of the Sulur-Singanallur region of the Coimbatore district. In this study, the Landsat satellite data of four decades were used to assess the regional LULC changes and identified the area under Built-up land increased from 6 to 25.77% and Waterbodies decreased by 5.48% (6–0.52%). Similarly, the current scenario of agriculture has decreased as Crop lands by 12.77% (30–17.23%). At the same time, the fallow land has risen and fall from starting to the ending years. Hence, the CA-ANN method has been adopted using the Modules for Land Use Change Evaluation (MOLUSCE) plugin of QGIS software. The spatial entities such as DEM, slope, distance to river, and distance to road were utilized as drivers to predict the future LULC of 2030, 2040, and 2050. The study's findings reveal that the crop land has decreased to 10.90%, 8.89% and 8.87%, respectively. Similarly, the waterbodies will be decreased by upto 1%, and the prediction findings portrays the increasing trend was observed in Built-up area and the better kappa statistics results identified as 0.81, 0.76, and 0.76 for 2030, 2040, and 2050. The observation of post classification shows that MLC is one of the best suited method and producing realistic result in the study for the change detection analysis. Overall, the outcome of the study showcased the continuous increase Built-up land were declined the natural land environment. If it continues, the agriculture ecosystem will be affected, and minimizes the cropping pattern and further anthropogenic influences will also reduce the agricultural activities in future. This modelling study results serves the benefit to land managers, stakeholders, farmers, and researchers to take possible measures immediately to manage the land sustainably. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03432521
Volume :
88
Issue :
6
Database :
Complementary Index
Journal :
GeoJournal
Publication Type :
Academic Journal
Accession number :
174526550
Full Text :
https://doi.org/10.1007/s10708-023-10944-0