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WeightNameValue
1000 Titel
  • Determining the Frequency of Dry Lake Bed Formation in Semi-Arid Mongolia From Satellite Data
1000 Autor/in
  1. Demura, Yuta |
  2. Hoshino, Buho |
  3. Baba, Kenji |
  4. McCarthy, Christopher |
  5. Sofue, Yuki |
  6. Kai, Kenji |
  7. Purevsuren, Tsedendamba |
  8. Hagiwara, Katsuro |
  9. Noda, Jun |
1000 Erscheinungsjahr 2017
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-12-08
1000 Erschienen in
1000 Quellenangabe
  • 6(4):88
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.3390/land6040088 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • In the Mongolian Plateau, the desert steppe, mountains, and dry lake bed surfaces may affect the process of dust storm emissions. Among these three surface types, dry lake beds are considered to contribute a substantial amount of global dust emissions and to be responsible for “hot spots” of dust outbreaks. The land cover types in the study area were broadly divided into three types, namely desert steppe, mountains, and dry lake beds, by a classification based on Normalized Difference Water Index (NDWI) calculated from MODIS Terra satellite images, and Digital Elevation Model (DEM). This dry lake beds extracting method using remote sensing offers a new technique for identifying dust hot spots and potential untapped groundwater in the dry lands of the Gobi region. In the study area, frequencies of dry lake bed formation were calculated during the period of 2001 to 2014. The potential dry lake area corresponded well with the length of the river network based on hydrogeological characterization (R2 = 0.77, p < 0.001). We suggest that the threshold between dry lake bed areas and the formation of ephemeral lakes in semi-arid regions is eight days of total precipitation.
1000 Sacherschließung
lokal Gobi Desert region
lokal dry lake beds
lokal remote sensing
lokal dust storm emission
1000 Fachgruppe
  1. Umweltwissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/RGVtdXJhLCBZdXRh|http://orcid.org/0000-0002-5909-7869|https://frl.publisso.de/adhoc/creator/QmFiYSwgS2Vuamk=|https://frl.publisso.de/adhoc/creator/TWNDYXJ0aHksIENocmlzdG9waGVy|https://frl.publisso.de/adhoc/creator/U29mdWUsIFl1a2k=|https://frl.publisso.de/adhoc/creator/S2FpLCBLZW5qaQ==|https://frl.publisso.de/adhoc/creator/UHVyZXZzdXJlbiwgVHNlZGVuZGFtYmE=|https://frl.publisso.de/adhoc/creator/SGFnaXdhcmEsIEthdHN1cm8=|https://frl.publisso.de/adhoc/creator/Tm9kYSwgSnVu
1000 Förderer
  1. JSPS KAKENHI
  2. Rakuno Gakuen University
1000 Fördernummer
  1. JP24340111; JP25550079; JP26281003
  2. S1391001
1000 Förderprogramm
  1. -
  2. MEXT Supported Program for the Strategic Research Foundation
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6411410.rdf
1000 Erstellt am 2018-11-23T09:36:31.565+0100
1000 Erstellt von 122
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Fri Nov 23 09:38:43 CET 2018
1000 Objekt bearb. Fri Nov 23 09:38:17 CET 2018
1000 Vgl. frl:6411410
1000 Oai Id
  1. oai:frl.publisso.de:frl:6411410 |
1000 Sichtbarkeit Metadaten public
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