Calculating environmental moisture for per-field discrimination of rice crops

@inproceedings{Niel2003CalculatingEM,
  title={Calculating environmental moisture for per-field discrimination of rice crops},
  author={Tom G. Van Niel and Tim R. McVicar and Hui Fang and S.-T Liang},
  year={2003}
}
The accuracies of rice classifications determined from density slices of broadband moisture indices were compared to results from a standard supervised technique using six reflective Enhanced Thematic Mapper plus (ETM+) bands. Index-based methods resulted in higher accuracies early in the growing season when background moisture differences were at a maximum. Analysis of depth of ETM+ band 5 resulted in the highest accuracy over the growing season (97.74%). This was more accurate than the… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-8 of 8 references

Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression

K R.F., C R.N.
Remote Sensing of Environment, • 1999

Performance of several Landsat 5 Thematic Mapper (TM) image classification methods for crop extent estimates in an irrigation district

B P.M., C M.A., H J.
International Journal of Remote Sensing, • 1996

A review of assessing the accuracy of classifications of remotely sensed data

C R.G.
Remote Sensing of Environment, • 1991

Detection of changes in leaf water content using nearand middle-infrared reflectances

H E.R., R B.N.
Remote Sensing of Environment, • 1989

The influence of soil salinity, growth form, and leaf moisture on spectral radiance of Spartina alterniflora canopies

H M.A., K V., S R.M.
Photogrammetric Engineering and Remote Sensing, • 1983

Remote sensing of leaf water content in the near infrared

T C.J.
Remote Sensing of Environment, • 1980

Distinguishing succulent plants from crop and woody plants

G H.W., E D.E., E J.H., R A.J., R R.R.
Photogrammetric Engineering and Remote Sensing, • 1978