Cited by Sentinel 2 based burn severity mapping and assessing post-fire impacts on forests and buildings in the Mizoram, a north-eastern Himalayan region

Rock glaciers as proxy for machine learning based debris‐covered glacier mapping of Kinnaur District, Himachal Pradesh DOI

Ipshita Priyadarsini Pradhan, Kirti Kumar Mahanta,

Nishant Tiwari

et al.

Earth Surface Processes and Landforms, Journal Year: 2024, Volume and Issue: 49(11), P. 3598 - 3619

Published: June 19, 2024

Abstract This research introduces an innovative approach by utilising rock glaciers (RGs) as a proxy for mapping debris‐covered (DCGs). focuses on the interconnected nature of glaciers, DCGs and RGs in continuum where can transform into over time due to various processes. study utilises six machine learning models—logistic regression (LR), support vector (SVM), K‐nearest neighbour (KNN), Naïve Bayes (NB), decision tree (DT) random forest (RF)—combined with multispectral satellite data (Sentinel‐2 Landsat 8) topographical derived from ALOS PALSAR DEM. Performance metrics such accuracy, area under curve (AUC) score, precision, recall F1‐score were evaluated assess model performance. detailed provides precise estimation extent Kinnaur district. The estimated DCG areas revealed intriguing variation across models, RF (9.71%), KNN (9.67%) NB (9.41%) yielding similar predictions. SVM (11.61%) projected slightly larger area, whereas DT (5.54%) LR (25.55%) provided contrasting results. Validation against high‐resolution images, Google Earth images glacier inventories confirmed accuracy reliability our approach. Based findings specific study, most effective method is RF, followed KNN, NB, SVM. combination models RG presents novel promising remote sensing‐based mapping, potential applications other regions broader environmental studies.

Language: Английский

Citations

Sustainability amid conflict: Gaza's environmental, social, and economic struggles DOI

Abdo Hassoun

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124433 - 124433

Published: Feb. 5, 2025

Language: Английский

Citations

Impact of Russian invasion on atmospheric aerosol characteristics in Ukraine and Kyiv city DOI

Xuanyi Wei,