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A Review On Spectral Processing Methods For Geological Remote Sensing
(Elsevier Science BVAmsterdam, 2016)
A Review On Spectral Processing Methods For Geological Remote Sensing
(ELSEVIER SCIENCE BVAMSTERDAM, 2016)
Remote sensing data can improve predictions of species richness by stacked species distribution models: A case study for Mexican pines
(2014)
Aim: Remote sensing data have been used in a growing number of studies to directly predict species richness or to improve the performance of species distribution models (SDMs), but their suitability for stacked species ...
Remote sensing data can improve predictions of species richness by stacked species distribution models: A case study for Mexican pines
(2014)
Aim: Remote sensing data have been used in a growing number of studies to directly predict species richness or to improve the performance of species distribution models (SDMs), but their suitability for stacked species ...
Submerged macrophytes height estimation by echosounder data sample
(2012-12-01)
Traditional 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 ...
Submerged macrophytes height estimation by echosounder data sample
(2012-12-01)
Traditional 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 ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...