TIME- AND COST-EFFECTIVE SAMPLING METHODS AS INDISPENSABLE TOOLS IN CALIBRATION OF AIRBORNE REMOTE SENSING DATA

Abstract

The  conventional  sampling  methods  are  no  longer  capable of  satisfying  the  rapidly growing  demand  toward  data  and  information.  There  has  been  a  need  for  a  measuring  te-chnology that provides broad opportunities of evaluating local or global processes or balan-ces  according  to  various  aspects.  Hyperspectral  imaging  spectroscopy,  one  of  the  most advanced  technologies  in  optical  remote  sensing,  but  to  clarify  the  relation  between  the feature-specific  spectral  respond  of  a  surface  or  material  and  the  studied  factor  large  nu-mber of samples are necessary. The objective is to present the technological capabilities of remote  sensing  of  our  Institute  and  to  show  an  alternative  method  for  moisture  content mapping which is adequate to collect the necessary amount of data to calibrate and validate airborne hyperspectral images for quantitative measurement of soil moisture content.