Smart Scholars🛡 Scholar Shield🏛 Research Integrity Desk🧩 Portfolio Console📰 Journals🔧 DOI MembersTools🔎 Journal AuditGI GetIndexedDr DOI Doctor

Cite this DOI

10.46243/jst.2021.v6.i04.pp188-194 · Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology

APA (7th edition)

Dr. Subhash, & V. Karande (2021). Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology. *Journal of Science & Technology*, *06*(04), 188–194. https://doi.org/10.46243/jst.2021.v6.i04.pp188-194

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{drsubhash2021landslide,
  author    = {Dr. Subhash and V. Karande},
  title     = {{Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {04},
  pages     = {188--194},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i04.pp188-194},
  url       = {https://doi.org/10.46243/jst.2021.v6.i04.pp188-194},
  language  = {en},
  abstract  = {Western Ghats on the western part of the Indian peninsula is recognized as the most frequent landslides potential zone. South west monsoon rainfall is major triggered factors of the landslide. The present work is carried out to evaluate the landslide susceptibility of Mahabaleshwar tehsil of Satara district, Maharashtra, India using geospatial technique. Landslides are influenced by several natural and manmade factors, such as slope, rainfall, relief, lithology, soil depth, soil erosion, soil texture, land use / land cover, road distance, drainage distance, drainage density, lineament distance, lineament density, aspect, temperature, seismology. The weighted overlay methods and multi-criteria model in ArcGIS 10.5 software were used for the mapping landslide susceptible zones. The landslide susceptible zones are classified into six classes: very high (0.3 \%), high (2.2 \%), moderate (6.4 \%), low (14.2 \%) very low (20.7 \%) and no risk zone (56.2 \%). Out of the total 113 villages of the tehsil, the study identified 06 villages are situated in very high, 18 in high, 13 in moderate, 19 in low and 17 in very low risk zones. The study has significant for the prevention and mitigation of the high landslide potential villages in the study area}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology
AU  - Dr. Subhash
AU  - V. Karande
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/31/
VL  - 06
IS  - 04
SP  - 188
EP  - 194
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Western Ghats on the western part of the Indian peninsula is recognized as the most frequent landslides potential zone. South west monsoon rainfall is major triggered factors of the landslide. The present work is carried out to evaluate the landslide susceptibility of Mahabaleshwar tehsil of Satara district, Maharashtra, India using geospatial technique. Landslides are influenced by several natural and manmade factors, such as slope, rainfall, relief, lithology, soil depth, soil erosion, soil texture, land use / land cover, road distance, drainage distance, drainage density, lineament distance, lineament density, aspect, temperature, seismology. The weighted overlay methods and multi-criteria model in ArcGIS 10.5 software were used for the mapping landslide susceptible zones. The landslide susceptible zones are classified into six classes: very high (0.3 %), high (2.2 %), moderate (6.4 %), low (14.2 %) very low (20.7 %) and no risk zone (56.2 %). Out of the total 113 villages of the tehsil, the study identified 06 villages are situated in very high, 18 in high, 13 in moderate, 19 in low and 17 in very low risk zones. The study has significant for the prevention and mitigation of the high landslide potential villages in the study area
DO  - 10.46243/jst.2021.v6.i04.pp188-194
UR  - https://doi.org/10.46243/jst.2021.v6.i04.pp188-194
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2021.v6.i04.pp188-194",
    "DOI": "10.46243/jst.2021.v6.i04.pp188-194",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i04.pp188-194",
    "title": "Landslide Susceptibility Mapping in Mahabaleshwar Tehsil, Satara, Maharashtra using Geospatial Technology",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Dr. Subhash"
        },
        {
            "family": "V. Karande"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2021,
                8,
                31
            ]
        ]
    },
    "volume": "06",
    "issue": "04",
    "page": "188-194",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Western Ghats on the western part of the Indian peninsula is recognized as the most frequent landslides potential zone. South west monsoon rainfall is major triggered factors of the landslide. The present work is carried out to evaluate the landslide susceptibility of Mahabaleshwar tehsil of Satara district, Maharashtra, India using geospatial technique. Landslides are influenced by several natural and manmade factors, such as slope, rainfall, relief, lithology, soil depth, soil erosion, soil texture, land use / land cover, road distance, drainage distance, drainage density, lineament distance, lineament density, aspect, temperature, seismology. The weighted overlay methods and multi-criteria model in ArcGIS 10.5 software were used for the mapping landslide susceptible zones. The landslide susceptible zones are classified into six classes: very high (0.3 %), high (2.2 %), moderate (6.4 %), low (14.2 %) very low (20.7 %) and no risk zone (56.2 %). Out of the total 113 villages of the tehsil, the study identified 06 villages are situated in very high, 18 in high, 13 in moderate, 19 in low and 17 in very low risk zones. The study has significant for the prevention and mitigation of the high landslide potential villages in the study area",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp188-194 gives all four in one JSON answer.

Everything Smart Scholars runsNine sites, one account. A journal starts at the audit; an author starts at Scholar Shield.

For journals & publishers

Start with the audit — it is free, and it is the gate to everything else.

DOI care

Nine services on one journal profile — each previews first and acts only on your approval.

For authors & researchers

Free to use. Nothing you check is shared with the journal.

For institutions, sponsors & DOI operators

Smart Scholars

Mon–Sat, 10:00–19:00 IST. The Ask AI button on every page answers about our services at any hour.

News

Policies

What we can register a DOI for

20 kinds of record, one account, one place. Every one gets a DOI that resolves, metadata that indexes read, and a record that stays correct afterwards.
Journals
  • Journal articles
  • Journal titles
  • Pending publications
  • Peer reviews
  • Preprints & posted content
Books & conferences
  • Books
  • Book chapters
  • Book series
  • Book sets
  • Conference proceedings
  • Proceedings series
  • Conference papers
Other research output
  • Theses & dissertations
  • Reports & working papers
  • Report series
  • Standards
  • Databases
  • Datasets
  • Figures, tables & supplements
Funding
  • Grants & funding awards

Elsewhere

The same company, in the places our publishers already read.
Smart Scholars · Every service on one pageData from OpenAlex (openalex.org), CC0 · Crossref · ISSN Portal · DOAJContact
WhatsApp