Ms. Moran et al., Deployment and calibration of reference reflectance tarps for use with airborne imaging sensors, PHOTOGR E R, 67(3), 2001, pp. 273-286
Chemically treated canvas tarps of large dimension (8 by 8 m) can be deploy
ed within the field of view of airborne digital sensors to provide a stable
ground reference for converting image digital number (DN) to surface refle
ctance factor (rho). However, the accuracy of such tarp-based conversion is
dependent upon a good knowledge of tarp rho st a variety of solar and view
angles (theta (s) and theta (v)), and upon good care and proper deployment
of tarps. In this study a set of turps of rho ranging from 0.04 to 0.64 we
re evaluated to determine the magnitude of error in measured tarp rho assoc
iated with variations in theta (s), theta (v) and for reasonable levels of
tarp dirtiness. Results showed that for operational values of theta (s) and
theta (v) and for reasonable levels of tarp dirtiness, the variation of me
asured tarp rho from the factory-designated rho could easily be greater tha
n 50 percent. On the other hand, we found that, if tarps were deployed corr
ectly and kept clean through careful use and periodic cleaning and if tarp
rho was determined through calibration equations that account for both thet
a (s) and theta (v) the greatest sources of err or were minimized. General
calibration equations were derived and provided here; these will be useful
for applications with tarps of the same factory-designated rho values as th
ose used in this study. Furthermore, equations were provided to allow calib
ration coefficients to be determined front the value of factory-designated
rho for the visible and near-infrared spectral bands. The major limitation
of tarps as calibration sources was related to the difficulty associated wi
th deploying heavy, cumbersome tarps under normal field conditions characte
rized by moderate wind, dust, heat, and possibly mud. This study should pro
vide tarp users with the information necessary to properly deploy tarps and
process results for accurate image interpretation.