Journal: International Journal of Remote Sensing

Abbreviation

Int. J. Remote Sens.

Publisher

Taylor & Francis

Journal Volumes

ISSN

0143-1161
1366-5901

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Publications 1 - 10 of 17
  • High Quality Image Matching and Automated Generation of 3D Tree Models
    Item type: Journal Article
    Baltsavias, Emmanuel; Gruen, A.; Eisenbeiss, H.; et al. (2008)
    International Journal of Remote Sensing
  • Detecting ground fog from space – a microphysics-based approach
    Item type: Journal Article
    Cermak, Jan; Bendix, Jörg (2011)
    International Journal of Remote Sensing
    The detection of ground fog from satellite data is of interest in operational nowcasting applications, as well as in studies of the climate system. A discrimination between fog at the ground and other low-stratus situations from satellite data requires information on cloud vertical geometry to establish whether the cloud touches the ground. This article introduces a technique that allows for the discrimination between low stratus and (ground) fog on the basis of geostationary satellite imagery. The cloud-base height is derived using a subadiabatic model of cloud microphysics. In this model, the cloud base is varied until model liquid–water path matches that retrieved from satellite data. The performance of this technique is shown to be good in a comparison with METeorological Aerodrome Report data comprising 1030 satellite scenes. With a hit rate of 81% and a threat score of 0.62, the skill is satisfactory.
  • Georeferencing of terrestrial radar images in geomonitoring using kernel correlation
    Item type: Journal Article
    Schmid, Lorenz; Medic, Tomislav; Collins, Brian D.; et al. (2023)
    International Journal of Remote Sensing
    Terrestrial radar interferometry (TRI) provides accurate observations of displacements in the line-of-sight (LOS) direction and is therefore used in various monitoring applications. However, relating these displacements directly to the 3d world is challenging due to the particular imaging process. To address this, the radar results are projected onto a 3d model of the monitored area, requiring georeferencing of the 3d model and radar observation. However, georeferencing relies on manual alignment and resource-intensive on-site measurements. Challenges arise from the significant disparity in spatial resolution between radar images and 3d models, the absence of identifiable common natural features and the relationship between image and spatial coordinates depending on the topography and instrument pose. Herein, we propose a method for data-driven, automatic and precise georeferencing of TRI images without the need for manual interaction or in situ installations. Our approach (i) uses the radar amplitudes from the TRI images and the angle of incidence based on the 3d point cloud to identify matching features in the datasets, (ii) estimates the best-fitting transformation parameters using Kernel Density Correlation (KDC) and (iii) requires only rough initial approximations of the radar instrument’s pose. Additionally, we present the correct relation between cross-range and azimuth for ground-based radar instruments. We demonstrate the application on a geomonitoring case using TRI data and a point cloud of a large rock cliff. The results show that the positions of the radar image can be localized in the monitored 3d space with a precision of a few metres at distances of over 1km . This is an improvement of almost one order of magnitude compared to what had been achieved using standard approaches and direct observation of the radar instrument’s pose. The proposed method thus contributes to the automation of TRI data processing and improved localization of small-scale deformation areas detected in radar images.
  • Stereo cloud-top height retrieval with ASTER and MISR
    Item type: Journal Article
    Seiz, Gabriela; Davies, Roger; Grün, Armin (2006)
    International Journal of Remote Sensing
  • Technical note: optimization of unmanned aerial vehicles flight planning in steep terrains
    Item type: Journal Article
    Manconi, Andrea; Ziegler, Martin; Blöchliger, Timon; et al. (2019)
    International Journal of Remote Sensing
  • Influence of lower stratosphere/upper troposphere transport events on surface ozone at the Everest-Pyramid GAW Station (Nepal)
    Item type: Journal Article
    Cristofanelli, P.; Bonasoni, P.; Bonafé, U.; et al. (2009)
    International Journal of Remote Sensing
  • Cloud mapping with ground-based photogrammetric cameras
    Item type: Journal Article
    Seiz, G.; Shields, J.; Feister, U.; et al. (2007)
    International Journal of Remote Sensing
  • Proof-of-concept for low-cost and non-contact synoptic airborne river flow measurements
    Item type: Review Article
    Detert, Martin; Johnson, Erika D.; Weitbrecht, Volker (2017)
    International Journal of Remote Sensing
  • High-resolution digital surface models (DSMs) for modelling fractional shrub/tree cover in a mire environment
    Item type: Journal Article
    Waser, L. T.; Baltsavias, Emmanuel; Ecker, K.; et al. (2008)
    International Journal of Remote Sensing
  • A standard index of spatial resolution for distributed targets in synthetic aperture radar imagery
    Item type: Journal Article
    Woodhouse, Iain H.; Marino, Armando; Cameron, Iain (2010)
    International Journal of Remote Sensing
Publications 1 - 10 of 17