Satellite-based long-term spatiotemporal trends of wildfire in the Himalayan vegetation

نویسندگان

چکیده

Analysis of the spatiotemporal pattern burned areas over time is necessary to understand how fire behavior in Himalayan region has altered as a result complex climatic variables. The differenced Normalized Burnt Ratio (NBR) calculated utilizing cloud-based platform Google Earth Engine (GEE) quantify extent regions. spatial distribution burnt last 21 years been examined and correlated with edaphic factors current study. area affected by forest shown direct correlation land surface temperature, but an inverse relationship soil moisture, pre-fire precipitation, Difference Vegetation Index (NDVI) Enhanced (EVI). p-value for 9 20 regions which research divided analysis less than 0.05, implying that regression model statistically significant. Trend done using Mann–Kendall test Theil–Sen estimator state distinct trends other meteorological parameters Western, Central Eastern Himalaya. assessment aids managers mitigating impacts managing fires, well implementation restoration methods following fire.

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ژورنال

عنوان ژورنال: Natural Hazards

سال: 2023

ISSN: ['1573-0840', '0921-030X']

DOI: https://doi.org/10.1007/s11069-023-05835-z