kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An automated Python language-based tool for creating absence samples in groundwater potential mapping
Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden.ORCID iD: 0000-0002-7978-0040
Show others and affiliations
2019 (English)In: Remote Sensing, E-ISSN 2072-4292, Vol. 11, no 11, article id 1375Article in journal (Refereed) Published
Place, publisher, year, edition, pages
MDPI AG , 2019. Vol. 11, no 11, article id 1375
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-288310DOI: 10.3390/rs11111375ISI: 000472648000118Scopus ID: 2-s2.0-85067395471OAI: oai:DiVA.org:kth-288310DiVA, id: diva2:1513938
Note

QC 20210127

Available from: 2021-01-03 Created: 2021-01-03 Last updated: 2024-03-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Kalantari, Zahra

Search in DiVA

By author/editor
Kalantari, Zahra
In the same journal
Remote Sensing
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 36 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf