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Title: :  Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data
PaperId: :  27397
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27397
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anusha ST John Institute of Technology
Ms. Sreelakshmy ST John Institute of Technology

Abstract

Computer Applications
multi-spectral imaging capabilities. Satellite imagery, when duly anatomized.
Landslides constitute one of the most devastating natural hazards, especially in mountainous and hilly landscapes, usually induced by intense rainfall, earthquakes, soil saturation, or human activities such as uncontrolled urbanization and deforestation. Landslides have the potential to cause widespread destruction to infrastructure, assets, and human lives. Conventional approaches to landslide detection and forecasting are labor-intensive, error-prone, and highly dependent on manual interpretation. Following the development of Artificial Intelligence (AI) and particularly machine learning and deep learning methods, it has been possible to achieve much advancement in automated landslide detection and classification from satellite images. This study centers on the application of AI-based models for precise forecasting of landslides through analysis of satellite imagery. An exhaustive review of fifty peer-reviewed papers has been carried out to review current methodologies, enumerate performance standards, and foreground the dominant research gaps in this area. The study indicates that numerous semi-automatic and classification-based models are available, but there is still a lack of fully automatic systems that provide high accuracy and generalizability across varying geographies.

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IJARIIE Anusha S, and Ms. Sreelakshmy S. "Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 3952-3957
MLA Anusha S, and Ms. Sreelakshmy S. "Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 3952-3957.
APA Anusha S, & Ms. Sreelakshmy S. (2025). Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 3952-3957.
Chicago Anusha S, and Ms. Sreelakshmy S. "Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 3952-3957.
Oxford Anusha S, and Ms. Sreelakshmy S. 'Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 3952-3957. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Computational_Intelligence_Approaches_for_Slope_Failure_Forecasting_Utilizing_Remote_Sensing_Data_ijariie27397.pdf (Accessed : ).
Harvard Anusha S, and Ms. Sreelakshmy S. (2025) 'Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 3952-3957IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Computational_Intelligence_Approaches_for_Slope_Failure_Forecasting_Utilizing_Remote_Sensing_Data_ijariie27397.pdf (Accessed : )
IEEE Anusha S, and Ms. Sreelakshmy S, "Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 3952-3957, Jul-Aug 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Computational_Intelligence_Approaches_for_Slope_Failure_Forecasting_Utilizing_Remote_Sensing_Data_ijariie27397.pdf [Accessed : ].
Turabian Anusha S, and Ms. Sreelakshmy S. "Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver Anusha S, and Ms. Sreelakshmy S. Computational Intelligence Approaches for Slope Failure Forecasting Utilizing Remote Sensing Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 3952-3957. Available from: https://ijariie.com/AdminUploadPdf/Computational_Intelligence_Approaches_for_Slope_Failure_Forecasting_Utilizing_Remote_Sensing_Data_ijariie27397.pdf
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