Water quality parameter measurement using spectral signatures

dc.acquisition-srcDownloaded from-Water Resources Abstractsen_US
dc.contract-noen_US
dc.contributor.authorWHITE PEen_US
dc.contributor.otherAvailable from Ntis, Springfield, Va 22161 As N73-25141, Price $5 75 Printed Copyen_US
dc.contributor.other$2 25 Microfiche Technical Report Rsc-42, May 1973 159 P, 25 Fig, 23 Tab, 23 Ref, Append Nasa Grant Ngl 44-001-001en_US
dc.date.accessioned2010-02-15T17:15:41Z
dc.date.available2010-02-15T17:15:41Z
dc.date.issued1973en_US
dc.degreeen_US
dc.descriptionSPRINGFIELD-25141en_US
dc.description-otheren_US
dc.description.abstractWATER 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)en_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/23243
dc.latitudeen_US
dc.locationen_US
dc.longitudeen_US
dc.notesen_US
dc.publisheren_US
dc.relation.ispartofseries50828.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesen_US
dc.subject*REGRESSION ANALYSISen_US
dc.subject*REMOTE SENSINGen_US
dc.subject*WATER QUALITYen_US
dc.subjectDATA COLLECTIONSen_US
dc.subjectDATA PROCESSINGen_US
dc.subjectHoustonen_US
dc.subjectHouston Ship Channelen_US
dc.subjectPath of pollutantsen_US
dc.subjectPOLLUTANT IDENTIFICATIONen_US
dc.subjectSOLAR RADIATIONen_US
dc.subjectSW 3010 Identification of pollutantsen_US
dc.subjectSW 5040 Data acquisitionen_US
dc.subjectTexasen_US
dc.subjectWATERen_US
dc.subjectWATER POLLUTIONen_US
dc.subjectWater qualityen_US
dc.titleWater quality parameter measurement using spectral signaturesen_US
dc.typeJournalen_US
dc.universityen_US
dc.vol-issue()en_US

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