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Title: Landsat's role in ecological applications of remote sensing.

Author: Cohen, Warren B.; Goward, Samuel N.;

Date: 2004

Source: BioScience. 54(6): 535-545

Publication Series: Scientific Journal (JRNL)

Description: Remote sensing, geographic information systems, and modeling have combined to produce a virtual explosion of growth in ecological investigations and applications that are explicitly spatial and temporal. Of all remotely sensed data, those acquired by landsat sensors have played the most pivotal role in spatial and temporal scaling. Modern terrestrial ecology relies on remote sensing for modeling biogeochemical cycles and for characterizing land cover, vegetation biophysical attributes, forest structure, and fragmentation in relation to biodiversity. Given the more than 30-year record of Landsat data, mapping land and vegetation cover change and using the derived surfaces in ecological models is becoming commonplace. In this article, we summarize this large body of work, highlighting the unique role of landsat.

Keywords: remote sensing, Landsat, spectral vegetation indices, vegetation mapping, change detection

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.



Cohen, Warren B.; Goward, Samuel N. 2004. Landsat''s role in ecological applications of remote sensing. BioScience. 54(6): 535-545


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