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                                       Details for article 181 of 250 found articles
 
 
  Relationships between remote sensing spectral indices and crops discrimination
 
 
Title: Relationships between remote sensing spectral indices and crops discrimination
Author: Silleos, N.
Misopolinos, N.
Perakis, K.
Appeared in: Geocarto international
Paging: Volume 7 (1992) nr. 2 pages 41-51
Year: 1992-06
Contents: Multitemporal and multispectral SPOT data were used for calculation of three spectral indices, (1) Radiometric means, (2) Vegetation Index (NDVI), (3) Brightness Index. The sequence reflectance, absorption, reflectance in bands 1,2 and 3 respectively, is common for all the studied crops and months (June and July). The highest differences in reflectance values are observed in July and especially in band 3 which proved very sensitive to chlorophyll development. Pearson correlation coefficients show that combination of band I and 2 or band I and 3 supply more thematic information than band 1 and 2. Discriminant Analysis shows that for sugarebeets, radiometric values and brightness index(BI) present the same classification accuracy. On the other hand Vegetation Index (NDVI) is sufficient for cotton and harvested alfalfa, while the classification accuracy of the other crops ranges between the Radiometric Values and Brightness Index. Pairwise squared generalized distances show that radiometric values and BI discriminate between crops better than NDVI. Comparing the results of Discriminat Analysis to Maximum Likelihood classification and taken into account different mathematical and statistical approach, significant differences exist (except maize and cotton) between the crops.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 181 of 250 found articles
 
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