File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Angular signatures of NASA/NOAA pathfinder AVHRR land data and applications to land cover identification

TitleAngular signatures of NASA/NOAA pathfinder AVHRR land data and applications to land cover identification
Authors
Liang, ShunlinTownshend, John R.G.
Issue Date1997
Citation
International Geoscience and Remote Sensing Symposium (IGARSS), 1997, v. 4, p. 1781-1783 How to Cite?
DOI: http://dx.doi.org/10.1109/IGARSS.1997.609069
AbstractThe angular signatures of the NASA/NOAA Pathfinder AVHRR Land data set are examined by applying several widely used empirical models and by developing a new temporal angular model. These models are compared for 10 different cover types, and results show that the temporal model performs much better than other models. The coefficients of the temporal angular model are applied to classify those cover types. The classification rate with two channel inputs is about 97% based on the quadratic discriminant analysis. If a single channel is used, the thermal channels are better than the visible and near-Infrared channels.
Persistent Identifierhttp://hdl.handle.net/10722/321238

 

DC FieldValueLanguage
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorTownshend, John R.G.-
dc.date.accessioned2022-11-03T02:17:34Z-
dc.date.available2022-11-03T02:17:34Z-
dc.date.issued1997-
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), 1997, v. 4, p. 1781-1783-
dc.identifier.urihttp://hdl.handle.net/10722/321238-
dc.description.abstractThe angular signatures of the NASA/NOAA Pathfinder AVHRR Land data set are examined by applying several widely used empirical models and by developing a new temporal angular model. These models are compared for 10 different cover types, and results show that the temporal model performs much better than other models. The coefficients of the temporal angular model are applied to classify those cover types. The classification rate with two channel inputs is about 97% based on the quadratic discriminant analysis. If a single channel is used, the thermal channels are better than the visible and near-Infrared channels.-
dc.languageeng-
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)-
dc.titleAngular signatures of NASA/NOAA pathfinder AVHRR land data and applications to land cover identification-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IGARSS.1997.609069-
dc.identifier.scopuseid_2-s2.0-0030656732-
dc.identifier.volume4-
dc.identifier.spage1781-
dc.identifier.epage1783-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats