Rotta, Luiz Henrique Da Silva [UNESP]Imai, Nilton Nobuhiro [UNESP]2014-05-272014-05-272012-12-01International Geoscience and Remote Sensing Symposium (IGARSS), p. 808-811.2153-6996http://hdl.handle.net/11449/73817Traditional methods of submerged aquatic vegetation (SAV) survey last long and then, they are high cost. Optical remote sensing is an alternative, but it has some limitations in the aquatic environment. The use of echosounder techniques is efficient to detect submerged targets. Therefore, the aim of this study is to evaluate different kinds of interpolation approach applied on SAV sample data collected by echosounder. This study case was performed in a region of Uberaba River - Brazil. The interpolation methods evaluated in this work follow: Nearest Neighbor, Weighted Average, Triangular Irregular Network (TIN) and ordinary kriging. Better results were carried out with kriging interpolation. Thus, it is recommend the use of geostatistics for spatial inference of SAV from sample data surveyed with echosounder techniques. © 2012 IEEE.808-811engGeographic Information SystemsInterpolationRiversSubmerged aquatic vegetationUnderwater acousticsAquatic environmentsData sampleEcho soundersGeo-statisticsHeight estimationHigh costsInterpolation methodKriging interpolationNearest neighborsOptical remote sensingOrdinary krigingSample dataStudy caseSubmerged aquatic vegetationsSubmerged macrophytesSubmerged targetsTriangular Irregular NetworksWeighted averagesGeographic information systemsGeologyRemote sensingSurveysVegetationTrabalho apresentado em evento10.1109/IGARSS.2012.6351439WOS:000313189401008Acesso aberto2-s2.0-8487316307929857711025053300000-0003-0516-0567