A combined method of PCA and IR-MAD for detecting rainfall landslide

doi:10.13474/j.cnki.11-2246.2024.0502

Abstract

Abstract: Seasonal patterns of torrential rainfall is one of the primary triggering agents which predisposes to catastrophic landslides, especially in the complex terrain medium-elevation mountains and hilly of China. The geographic scene resulted in landslide occurrence is very complex. Therefore, exploring the landslide detection methods in complex situations has important significance for damage assessment and post-disaster emergency investigation. In this paper, we propose a landslide detection method combining PCA and IR-MAD to realize the accurate extraction of nascent landslide.The research results show that compared with the existing methods, the proposed method effectively inhibits the disturbance of landslide detection caused by seasonal factors such as crop seeding and harvest, flood season caused by heavy rainfall, and other similar remote sensing features of bare land and tidal flat. The accuracy rate of landslide detection and the stability of landslide identification model have been improved to a certain extent.

Key words: landslide identification, change detection, seasonal factors, PCA, IR-MAD

CLC Number:

P237

ZHAO Qiong, ZHANG Jinshui, ZHENG Wenwu. A combined method of PCA and IR-MAD for detecting rainfall landslide[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 7-11,18.

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