WHITE PEAvailable from Ntis, Springfield, Va 22161 As N73-25141, Price $5 75 Printed Copy$2 25 Microfiche Technical Report Rsc-42, May 1973 159 P, 25 Fig, 23 Tab, 23 Ref, Append Nasa Grant Ngl 44-001-0012010-02-152010-02-151973http://hdl.handle.net/1969.3/23243SPRINGFIELD-25141WATER QUALITY PARAMETERS INFLUENCE REMOTELY SENSED SPECTRAL SIGNATURES. REGRESSION ANALYSIS WAS APPLIED TO THE PROBLEM OF MEASURING WATER QUALITY PARAMETERS FROM REMOTE SENSING SPECTRAL SIGNATURE DATA. THE EQUATIONS NECESSARY TO PERFORM REGRESSION ANALYSIS AND METHODS OF TESTING THE STRENGTH AND RELI REGRESSION ARE DESCRIBED. AN EFFICIENT ALGORITHM IS GIVEN FOR SELECTING THE OPTIMAL SUBSET OF THE INDEPENDENT VARI AVAIL TECHNIQUES, THEY WERE APPLIED TO A PARTICULAR SET OF DATA FROM THE HOUSTON SHIP CHANNEL. (KNAPP-USGS)*REGRESSION ANALYSIS*REMOTE SENSING*WATER QUALITYDATA COLLECTIONSDATA PROCESSINGHoustonHouston Ship ChannelPath of pollutantsPOLLUTANT IDENTIFICATIONSOLAR RADIATIONSW 3010 Identification of pollutantsSW 5040 Data acquisitionTexasWATERWATER POLLUTIONWater qualityJournal