Volume XLI-B7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 77-82, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-77-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 77-82, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-77-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  17 Jun 2016

17 Jun 2016

GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS

E. Honkavaara1, T. Hakala1, O. Nevalainen1, N. Viljanen1, T. Rosnell1, E. Khoramshahi1, R. Näsi1, R. Oliveira2, and A. Tommaselli2 E. Honkavaara et al.
  • 1Dep.of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Masala, Kirkkonummi, Finland
  • 2UNESP, University of São Paulo State, Presidente Prudente - SP, Brazil

Keywords: Hyperspectral, Radiometry, Photogrammetry, Geometry, Matching, Uncertainty

Abstract. Light-weight hyperspectral frame cameras represent novel developments in remote sensing technology. With frame camera technology, when capturing images with stereoscopic overlaps, it is possible to derive 3D hyperspectral reflectance information and 3D geometric data of targets of interest, which enables detailed geometric and radiometric characterization of the object. These technologies are expected to provide efficient tools in various environmental remote sensing applications, such as canopy classification, canopy stress analysis, precision agriculture, and urban material classification. Furthermore, these data sets enable advanced quantitative, physical based retrieval of biophysical and biochemical parameters by model inversion technologies. Objective of this investigation was to study the aspects of capturing hyperspectral reflectance data from unmanned airborne vehicle (UAV) and terrestrial platform with novel hyperspectral frame cameras in complex, forested environment.