Skip to Main Content
Landsat's role in ecological applications of remote sensing.Author(s): Warren B. Cohen; Samuel N. Goward
Source: BioScience. 54(6): 535-545
Publication Series: Scientific Journal (JRNL)
PDF: Download Publication (1.50 MB)
DescriptionRemote 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.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- 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.
CitationCohen, Warren B.; Goward, Samuel N. 2004. Landsat''s role in ecological applications of remote sensing. BioScience. 54(6): 535-545
Keywordsremote sensing, Landsat, spectral vegetation indices, vegetation mapping, change detection
- Fitting the multitemporal curve: a fourier series approach to the missing data problem in remote sensing analysis
- Vegetation cover in relation to socioeconomic factors in a tropical city assessed from sub-meter resolution imagery
- Remote estimation of a managed pine forest evapotranspiration with geospatial technology
XML: View XML