Conference Papers

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    AN Integrated Analysis and Forecasting of Wildfires in the Nallamala Hills, India
    (Institute of Electrical and Electronics Engineers Inc., 2023) Kundapura, S.; Vishnu Vardhan, M.; Apoorva, K.V.
    Wildfires threaten ecosystems, human lives, and infrastructure, necessitating effective detection and prediction methods. In this study, an in-depth analysis of wildfire detection and forecasting is carried out over the Nallamala hills, which stretch across the states of Telangana and Andhra Pradesh. Our approach comprises three significant steps: Active fire analysis, pre-fire analysis, and post-fire analysis. Pre-fire maps were created using the Normalised Difference Vegetation Index (NDVI) during the pre-fire analysis, which involved time series analysis of significant components. For active fire analysis, the first dataset is created by using satellite imagery and its derived products. A dataset is used to train the five different machine-learning models for prediction. Among these models, the Random Forest classifier outperformed the remaining four models (Support vector Classifier, Gradient Boosting Classifier, Logistic Regression, and K-means algorithms) in accurately detecting and predicting active fires. This step enabled real-Time monitoring and prioritisation of firefighting efforts. The burnt area calculation uses the Normalised Burn Ratio (NBR) in the post-fire analysis. The analysis implemented post-fire rehabilitation and restoration efforts, giving essential information on the scope and severity of fire damage. The comprehensive study of all wildfires will provide a detailed picture of what occurred in the past (Timeseries), present (Prediction models), and future (Pre-fire maps), allowing people and government agencies to take precautions against future wildfires. © 2023 IEEE.
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    Estimation of Seismicity Parameters for Andhra Pradesh and Telangana
    (Springer Science and Business Media Deutschland GmbH, 2024) Ashrith, M.S.; Bakale, M.S.; Kolathayar, S.
    The present study attempts to estimate the seismicity parameters for the states of Andhra Pradesh and Telangana (12°–19° N and 77°–89° E) using the latest earthquake data. The updated seismic catalogue was developed by using the dataset from Kolathayar et al. (J Earth Syst Sci 121:1351–1364, 2012) [1] and updating it to the present day. The catalogue was homogenized and then declustered using Gardner and Knopoff (Bull Seismol Soc Am 64:1363–1367, 1974) [2]. The period of completeness for various magnitude intervals was estimated using Stepp (Proceedings of the 1st international conference on microzonazion, vol 2(1), pp. 897–910, 1972) [3], and seismicity parameters for the study area were determined using least square fit. The Gutenberg and Richter (Bull Seismol Soc Am 34:185–188, 1944) [4] relationship was used to calculate a and b, which were 3.64 and 0.72, respectively. These values are vital in performing seismic hazard assessment for the area later. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.