Assessing Machine Learning and Statistical Methods for Rock Glacier‐Based Permafrost Distribution in Northern Kargil Region

Permafrost and Periglacial Processes, Год журнала: 2024, Номер 35(3), С. 262 - 277

Опубликована: Июнь 18, 2024

ABSTRACT Estimating permafrost distribution in high‐mountain areas is challenging. In these situations, rock glaciers, provide valuable insights into and are often used as proxies for identifying occurrence. Integrating various climatological topographical conditioning factors with glaciers enables inferring the of environments. This study utilized three machine learning models such random forest (RF), support vector (SVM), artificial neural network (ANN), one statistical model, namely, frequency ratio (FR), to assess probability over northern Kargil region Indian Himalayas. Among 198 identified through high‐resolution images from Google Earth, 70% training dataset, rest 30% testing dataset. The considered eight factors: slope, aspect, elevation, curvature, mean annual land surface temperature (MA‐LST), normalized difference snow index (MA‐NDSI), water (MA‐NDWI), lithology mapping. Furthermore, SHapley Additive exPlanations (SHAP) test assessed variable importance model performance. results revealed that RF performs best mapping, followed by SVM, FR, ANN models. also found 11% total geographic area has a high very

Язык: Английский

Investigating the first case of permafrost degraded subsidence in Lahaul & Spiti region of Tethyan Himalayas

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Июнь 2, 2025

Rising temperatures and changing precipitation patterns are causing rapid changes in the Himalayan ecosystem. Changes climatic conditions affect various aspects of high mountain environments, including glaciers, rock permafrost, pose significant threats to indigenous communities. This study investigates first case permafrost thaw-induced subsidence Lindur Village Lahaul & Spiti district Himachal Pradesh using MT-InSAR method. We used 15 Sentinel-1 single-look complex images acquired from April 2022 September along ascending orbit track SBAS technique monitor village. The results revealed land rates ranging 7.9 -6.8 cm/year. cumulative 16 cm was observed over northeast direction analysis historical temperature data 1950 2024 shows a rise at rate 0.02 °C/year shift pattern From field observations, found that local geology existing glaciers exacerbate leading development cracks region. is provides detailed insight into interaction climatic, geological, hydrological factors drive thaw Indian Tethyan Himalayas. quantified deformation provide crucial information for developing targeted mitigation strategies early warning systems.

Язык: Английский

Machine learning based high-resolution air temperature modelling from landsat-8, MODIS, and In-Situ measurements with ERA-5 inter-comparison in the data sparse regions of Himachal Pradesh

Bulletin of Atmospheric Science and Technology, Год журнала: 2024, Номер 5(1)

Опубликована: Дек. 1, 2024

Язык: Английский