Geospatial Study on Forest Fire Disasters – A GIS Approach

• Autorzy: Rao Gudikandhula Narasimha , Rao Peddada Jagadeeswara , Duvvuru Rajesh , Beulah Kondapalli , Rathnala Prasanthi , Lydia E. Laxmi , Balakrishna Bangaru , Motru Vijaya Raju

Identyfikatory

DOI

10.12912/27197050/155060

• Języki publikacji: EN

Abstrakty

EN

The science and technology is reaching to greater heights in recent decades, that the scientists are also not antici-pated that it would change the facet of human life. However, disasters are challenging scientific community and its intensity and numbers of events are increasing in recent years. Disasters are classified into two types, i.e., natural and man-made. Ancient human beings were used fire to cook their food. Once they were habituated to eat cooked food, their digestive system started working properly which resulted in wise thinking. One of the most risky fiascos is fire. Notwithstanding its immediate risk on living souls’, fire consumes woods. Trees that are giving oxygen to people, in this way, trees are viewed as lungs for solid life. Consistently, huge number of rapidly spreading fires happening all around the world they consume forested lands, causing unfriendly environmental and social effects. Early admonition and prompt reactions are the main available resources to battle such kind of calamities. This exploration work centers guileless techniques which are utilized to recognize forest fire susceptibility index (FFSI) and fire examination in Greater Visakhapatnam municipal corporation.

Słowa kluczowe

EN

neural network; remote sensing; geographic information system; disaster management; forest fire susceptibility index

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 1
• Strony: 302--311
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Rao Gudikandhula Narasimha

• Department of CSE, Vignan’s Institute of Information Technology (A), Visakhapatnam, Andhra Pradesh, India

• https://orcid.org/0000-0003-2203-9638

autor

Rao Peddada Jagadeeswara

• Rajiv Gandhi University of Knowledge Technologies, IIIT Srikakulam, Andhra Pradesh 532402, India

autor

Duvvuru Rajesh

• School of Computer Science Engineering, VIT-AP University, Amaravathi 522237, India

autor

Beulah Kondapalli

• Department of CSE, GVP College of Engineering (A), Kommadhi, Visakhapatnam, Andhra Pradesh 530048, India

autor

Rathnala Prasanthi

• Department of ECE, GITAM deemed to be University, Visakhapatnam, Andhra Pradesh 530045, India

autor

Lydia E. Laxmi

• Department of CSE, Vignan’s Institute of Information Technology (A), Visakhapatnam, Andhra Pradesh, India

autor

Balakrishna Bangaru

• Department of CSE, Guntur Engineering College, Guntur, Andhra Pradesh 522019, India

autor

Motru Vijaya Raju

• Department of CSE, JNTU Kakinada, Andhra Pradesh 533003, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).