ISSN: 2157-7617

Journal des sciences de la Terre et du changement climatique

Accès libre

Notre groupe organise plus de 3 000 séries de conférences Événements chaque année aux États-Unis, en Europe et en Europe. Asie avec le soutien de 1 000 autres Sociétés scientifiques et publie plus de 700 Open Access Revues qui contiennent plus de 50 000 personnalités éminentes, des scientifiques réputés en tant que membres du comité de rédaction.

Les revues en libre accès gagnent plus de lecteurs et de citations
700 revues et 15 000 000 de lecteurs Chaque revue attire plus de 25 000 lecteurs

Indexé dans
  • Indice source CAS (CASSI)
  • Index Copernic
  • Google Scholar
  • Sherpa Roméo
  • Accès en ligne à la recherche en environnement (OARE)
  • Ouvrir la porte J
  • JournalSeek de génamique
  • JournalTOC
  • Annuaire des périodiques d'Ulrich
  • Accès à la recherche mondiale en ligne sur l'agriculture (AGORA)
  • Centre international pour l'agriculture et les biosciences (CABI)
  • Recherche de référence
  • Université Hamdard
  • EBSCO AZ
  • OCLC-WorldCat
  • Invocation de quête
  • Catalogue en ligne SWB
  • Publons
  • Euro Pub
  • ICMJE
Partager cette page

Abstrait

Northern Hemisphere Snow Variations with Season and Elevation Using GIS and AMSR-E Data

Mukesh Singh Boori* and Ralph R. Ferraro

Seasonal snow cover and properties in the Northern Hemisphere(NH) was examined in this study using AMSR-E multispectral passive microwave satellite derived Snow Water Equivalent (SWE) and the Digital Elevation Model (DEM) for the different seasons (January, April, July and October months) from 2007 to 2011. The methodology involves conversion of satellite SWE data into 6 snow classes, computation of NDSI, determination of the boundary between snow classes from spectral response data and threshold slicing of the image data. Accuracy assessment of AMSR-E snow products was accomplished using Geographic Information System (GIS) techniques. The coldest month has all six snow type classes due to snow pack growth whereas the summer months only contain residual snow at the highest elevations. Sharp season-to-season differences were noted. The final results show the greatest snow cover extent in January whereas total snow in April is 60%, July 3% and in October near to 25%. In terms of inter-seasonal variations during the study period, the minimum (1.53 million km2) snow cover extent was observed in July 2008 and the maximum (60.0 km2) in January 2010. In terms of elevation, the maximum snow extent exists between 0 to 2000 m in winter and near to 5000 m in summer. Finally, this study shows how satellite remote sensing can be useful for the long-term observation of the intra and inter-annual variability of snowpacks in rather inaccessible regions and providing useful information on a critical component of the hydrological cycle, where the network of meteorological stations is deficient.