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dc.contributor.authorThenkabail, P.
dc.contributor.authorWard, A.D.
dc.contributor.authorLyon, J.
dc.contributor.authorMerry, C.J.
dc.date.accessioned2019-12-04T11:33:15Z
dc.date.available2019-12-04T11:33:15Z
dc.date.issued1994-04
dc.identifier.citationThenkabail, P., Ward, A.D., Lyon, J. & Merry, C.J. (1994). Thematic mapper vegetation indices for determining soybean and corn growth parameters. Photogrammetric Engineering and Remote Sensing, 60(4), 437-442.
dc.identifier.issn0099-1112
dc.identifier.urihttps://hdl.handle.net/20.500.12478/5588
dc.description.abstractThe use of thematic mapper data to study crop growth parameters has primarily been conducted with hand-held and truck-mounted radiometers. In addition, most studies have not used mid-infrared bands to develop vegetation indices. This study used Landsat thematic mapper data and crop parameter data from corn and soybean fields in northern Ohio (1) to develop plant-water sensitive vegetation indices that included the mid-infrared, near-infrared, and red bands; and (2) to compare the ability of different vegetation indices to estimate crop yield, leaf area index, wet biomass, dry biomass, and plant height. Indices which included the mid-infrared thematic mapper bands 5 and 7 performed equal to or better than the widely used near-infrared band 4 and red band 3. The best relationships between vegetation indices and crop parameters had Spearman non-parametric correlation coefficients of 0.80 to 0.89 for all parameters except crop yield which was not highly correlated with the vegetation indices.
dc.language.isoen
dc.subjectYields
dc.subjectSoybeans
dc.titleThematic mapper vegetation indices for determining soybean and corn growth parameters
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationOhio State University
cg.coverage.regionAfrica
cg.coverage.regionAcp
cg.coverage.regionWest Africa
cg.coverage.regionNorth America
cg.coverage.countryNigeria
cg.coverage.countryUnited States
cg.identifier.urlhttps://www.asprs.org/wp-content/uploads/pers/1994journal/apr/1994_apr_437-442.pdf
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectPlant Production
cg.iitasubjectSoybean
cg.iitasubjectFood Security
cg.accessibilitystatusOpen Access
local.dspaceid104868


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