Nom du corpus

Corpus Systématique Animale

Titre du document

Remote sensing of coastal food resources

Lien vers le document
Éditeur
Springer (journals)
Langue(s) du document
Anglais
Type de document
Research-article
Mots-clés d'auteur
  • Remote sensing
  • Coastal productivity
  • Natural resources
  • LANDSAT
  • Skylab
  • Wetlands
Nom du fichier dans la ressource
Arthropodes_v2b_00499, Poissons_v2b_000450
Auteur(s)
  • V. Klemas 1
  • D. S. Bartlett 1
Affiliation(s)
  • 1) College of Marine Studies, University of Delaware, 19711, Newark, Delaware
Résumé

Since tidal marshes and estuaries cover large areas of the world's coasts and exhibit a very high net primary productivity, they offer a most important food source for an ever increasing world population. The food web of numerous estuaries and coastal waters is based on the primary productivity of coastal marshes that constitute centers of solar energy fixation and an important link in the mineral cycles. The fixed carbon and minerals enterthe water primarily as detritus where a complex food web makes them accessible to commercially important fish and benthic communities. With the launch of LANDSAT, NOAA-2, and Skylab, relatively high resolution spacecraft data became available for mapping and inventorying tidal marshes and their productivity on a global scale. Upwelling regions that attract large fish populations as well as other coastal water properties relating to the presence of finfish, Crustacea, and shellfish could be identified and observed. Using multispectral analysis techniques, classification accuracies greater than 80 percent have been obtained for most marsh plant species, and greater than 90 percent for key types such asSpartina alterniflora, which is the primary producer in large tide marshes of the coastal eastern USA. The capacity of remote sensors on spacecraft such as NOAA-2, LANDSAT, and Skylab to assess coastal food resources on a global scale is discussed from the point of view of resolution, classification accuracy, and cost effectiveness.

Catégories Science-Metrix
  • 1 - natural sciences
  • 2 - biology
  • 3 - ecology
Catégories INIST
  • 1 - sciences appliquees, technologies et medecines
  • 2 - sciences biologiques et medicales
  • 3 - sciences biologiques fondamentales et appliquees. psychologie
  • 4 - vertebres: systeme osteoarticulaire, muscle strie
Catégories Scopus
  • 1 - Physical Sciences ; 2 - Environmental Science ; 3 - Pollution
  • 1 - Physical Sciences ; 2 - Environmental Science ; 3 - Ecology
  • 1 - Physical Sciences ; 2 - Environmental Science ; 3 - Global and Planetary Change
Catégories WoS
  • 1 - science ; 2 - environmental sciences
Identifiant ISTEX
282635A873AAFA78B36CB373A93D54752E3CF068
Revue

Environmental Management

Année de publication
1978
Présence de XML structuré
Non
Version PDF
1.3
Score qualité du texte
8.031
Sous-corpus
  • Arthropodes
  • Poissons
Type de publication
Journal
ark:/67375/1BB-15X6NQC0-0
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