Abstract
Forest fires have become a growing concern worldwide, with climate change exacerbating their frequency and intensity. In the Simlipal region of India, forest fires are relatively rare; however, in 2021, significant damage occurred in the buffer area’s forests. Understanding the driving factors behind these events is essential for developing effective management strategies. This study investigates the impact of hydro-meteorological conditions on forest fire causes in the Simlipal region by analyzing Terra climatic data and geo-statistics for the period of 1984 to 2021. Long-term trends were determined using non-parametric tests on the Google Earth Engine (GEE) cloud computing platform. Our findings reveal that the maximum burned area location has a decreasing trend in Land Surface Temperature (LST), with a small portion (
Kumar Gupta, D. (2023). Uncovering the Hydro‑meteorological Drivers Responsible for Forest Fires Utilizing Geospatial Techniques. Afribary. Retrieved from https://afribary.com/works/uncovering-the-hydro-meteorological-drivers-respon
Kumar Gupta, Dr. Saurabh "Uncovering the Hydro‑meteorological Drivers Responsible for Forest Fires Utilizing Geospatial Techniques" Afribary. Afribary, 14 Jun. 2023, https://afribary.com/works/uncovering-the-hydro-meteorological-drivers-respon. Accessed 11 May. 2024.
Kumar Gupta, Dr. Saurabh . "Uncovering the Hydro‑meteorological Drivers Responsible for Forest Fires Utilizing Geospatial Techniques". Afribary, Afribary, 14 Jun. 2023. Web. 11 May. 2024. < https://afribary.com/works/uncovering-the-hydro-meteorological-drivers-respon >.
Kumar Gupta, Dr. Saurabh . "Uncovering the Hydro‑meteorological Drivers Responsible for Forest Fires Utilizing Geospatial Techniques" Afribary (2023). Accessed May 11, 2024. https://afribary.com/works/uncovering-the-hydro-meteorological-drivers-respon