01692nas a2200181 4500008004100000245010200041210006900143300001300212490000700225520104000232653002201272100001601294700001701310700001801327700001901345700001801364856012801382 1986 eng d00aDistinguishing among tallgrass prairie cover types from measurements of multispectral reflectance0 aDistinguishing among tallgrass prairie cover types from measurem a159 -1690 v193 a
The heterogeneity in surface cover caused by management practices or natural events complicates monitoring the conditions of grasslands and asseessing their productivity by remote sensing techniques. Statistical procedures were sought that would allow different grassland surface cover types (bare soil,senescent vegetation, and green vegetation) to be distinguished by using measurements of grassland multispectral reflectance. Two procedures, discriminant functions and canonical discriminant analysis, were found suitable for achieving this objective. Linear classification functions and canonical variables were derived, which distinguish between the three cover types. A comparison between two sensor systems, a Barnes multiband radiometer and an Exotech radiometer that simulates the Landsatthematic mapper (TM) and multispectral scanner (MSS) bands, respectively, showed that the separability among the three cover types was substantially improved by the additional and improved spectral features of the Barnes radiometer
10atallgrass prairie1 aAsrar, G.A.1 aWeiser, R.L.1 aJohnson, D.E.1 aKanemasu, E.T.1 aKilleen, J.M. uhttp://lter.konza.ksu.edu/content/distinguishing-among-tallgrass-prairie-cover-types-measurements-multispectral-reflectance