M. Kalacska, G. Sánchez-Azofeifa, B. Rivard, J. Calvo-Alvarado
{"title":"Estimation of transition function parameters to evaluate the sensitivity of vegetation indices to leaf area index in a tropical moist forest","authors":"M. Kalacska, G. Sánchez-Azofeifa, B. Rivard, J. Calvo-Alvarado","doi":"10.1109/WARSD.2003.1295189","DOIUrl":null,"url":null,"abstract":"A non-linear transition function (Lorentzian cumulative function) best represented the relationship between leaf area index (LAI) and spectral vegetation indices (SVI) calculated from a Landsat ETM+ image from a tropical moist forest. The three parameters of the function (transition height, center and half-width) describe the sensitivity of the index to a range of LAI values. From the SVIs tested, the Modified Single Ratio (MSR) had best sensitivity to LAI in this environment being sensitive to changes in LAI from 0.0-4.7.","PeriodicalId":395735,"journal":{"name":"IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WARSD.2003.1295189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A non-linear transition function (Lorentzian cumulative function) best represented the relationship between leaf area index (LAI) and spectral vegetation indices (SVI) calculated from a Landsat ETM+ image from a tropical moist forest. The three parameters of the function (transition height, center and half-width) describe the sensitivity of the index to a range of LAI values. From the SVIs tested, the Modified Single Ratio (MSR) had best sensitivity to LAI in this environment being sensitive to changes in LAI from 0.0-4.7.