Data infrastructure for multitemporal airborne LiDAR point cloud analysis – Examples from physical geography in high mountain environments

Rieg, Lorenzo; Wichmann, Volker; Rutzinger, Martin; Sailer, Rudolf; Geist, T.; Stötter, Johann

doi:10.1016/j.compenvurbsys.2013.11.004

Cited by 44 publications

(36 citation statements)

References 26 publications

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“…In order to minimize shadowing effects, it is favorable to use several scan positions consecutively. High accurate co-registration of the scans is obtained by the use of fixed targets which is a very popular method and has been used and tested in many studies, e.g., [34][35][36][37][38][39]. A co-registration using a target is implemented in the software package RiScan Pro that comes with the TLS-instrument.…”

Section: Terrestrial Light Detection and Ranging (Lidar)mentioning

confidence: 99%

“…For the SfM models as well as for the LiDAR scans, pre-and post-erosion surface models were referenced to each other. Point clouds from TLS and SfM were imported and binned into rasters with a cell size of 1 cm in LIS Desktop/SAGA GIS for further processing steps [12,37]. As a result two different raster datasets remained functioning as DEM of difference (DoD) for direct comparison: one for the SfM technique and one for terrestrial LiDAR.…”

Section: Field Laboratory Experiments In Eichstätt-sfm Vs Tlsmentioning

confidence: 99%

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Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion

et al. 2014

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This study presents a computer vision application of the structure from motion (SfM) technique in three dimensional high resolution gully monitoring in southern Morocco. Due to impractical use of terrestrial Light Detection and Ranging (LiDAR) in difficult to access gully systems, the inexpensive SfM is a promising tool for analyzing and monitoring soil loss, gully head retreat and plunge pool development following heavy rain events. Objects with known dimensions were placed around the gully scenes for scaling purposes as a workaround for ground control point (GCP) placement. Additionally, the free scaling with objects was compared to terrestrial laser scanner (TLS) data in a field laboratory in Germany. Results of the latter showed discrepancies of 5.6% in volume difference for erosion and 1.7% for accumulation between SfM and TLS. In the Moroccan research area soil loss varied between 0.58 t in an 18.65 m

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Section: Terrestrial Light Detection and Ranging (Lidar)mentioning

confidence: 99%

Section: Field Laboratory Experiments In Eichstätt-sfm Vs Tlsmentioning

confidence: 99%

Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion

et al. 2014

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“…The ground points of all datasets are imported into a laser database system (Rieg et al, 2014) which facilitates storage and further processing. 1 m resolution DTMs are calculated for all datasets, whereby the mean value of all ALS points located in each cell represents the elevation of the cell.…”

Section: The Geodetic Methodsmentioning

confidence: 99%

A reanalysis of one decade of the mass balance series on Hintereisferner, Ötztal Alps, Austria: a detailed view into annual geodetic and glaciological observations

Klug

Bollmann

Galos

et al. 2017

Preprint

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Abstract. This study presents a reanalysis of the glaciologically obtained 2001-11 annual glacier mass balances record at Hintereisferner, Ötztal Alps, Austria. The reanalysis is accomplished through a comparison with geodetically derived mass 15 changes, using annual high-resolution airborne laser scanning (ALS). The grid based adjustments for the method-inherent differences are discussed along with associated uncertainties and discrepancies of the two forms of mass balance measurements. A statistical comparison of the two datasets shows no significant difference for seven annual as well as the cumulative mass changes over the ten years record. Yet, the statistical view hides significant differences in the mass balance The validity of the results is critically assessed and concludes that exceptional atmospheric circumstances can render the usual glaciological observational network inadequate. Furthermore, we consider that ALS data reliably reproduce the annual mass balance and can be seen as calibration tools of or, under certain circumstances, even as a substitute for the glaciological method.

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“…The tree point cloud is turned each time by some degrees such that the forest is not influenced by directional effects. Tree shadows in the forest are calculated using the Laserdata LIS (LIS) SADO (System for the Analysis of Discrete Surfaces; Böhner et al (1997); Rieg et al (2014)) insolation multiscale module. For each of the LS8 overpass minutes, the direct mean insolation on a 1 cm resampled DTM is calculated and hard shadow areas are assigned where the result of this calculation is zero.…”

Section: Digital Forestmentioning

confidence: 99%

Comprehensive Spectral Signal Investigation of a Larch Forest Combining Ground- And Satellite-Based Measurements

Landmann¹,

Rutzinger²,

Bremer³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Collecting comprehensive knowledge about spectral signals in areas composed by complex structured objects is a challenging task in remote sensing. In the case of vegetation, shadow effects on reflectance are especially difficult to determine. This work analyzes a larch forest stand (Larix decidua MILL.) in Pinnis Valley (Tyrol, Austria). The main goal is extracting the larch spectral signal on Landsat 8 (LS8) Operational Land Imager (OLI) images using ground measurements with the Cropscan Multispectral Radiometer with five bands (MSR5) simultaneously to satellite overpasses in summer 2015. First, the relationship between field spectrometer and OLI data on a cultivated grassland area next to the forest stand is investigated. Median ground measurements for each of the grassland parcels serve for calculation of the mean difference between the two sensors. Differences are used as "bias correction" for field spectrometer values. In the main step, spectral unmixing of the OLI images is applied to the larch forest, specifying the larch tree spectral signal based on corrected field spectrometer measurements of the larch understory. In order to determine larch tree and shadow fractions on OLI pixels, a representative 3D tree shape is used to construct a digital forest. Benefits of this approach are the computational savings compared to a radiative transfer modeling. Remaining shortcomings are the limited capability to consider exact tree shapes and nonlinear processes. Different methods to implement shadows are tested and spectral vegetation indices like the Normalized Difference Vegetation Index (NDVI) and Greenness Index (GI) can be computed even without considering shadows.

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Data infrastructure for multitemporal airborne LiDAR point cloud analysis – Examples from physical geography in high mountain environments

Cited by 44 publications

References 26 publications

Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion

Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion

A reanalysis of one decade of the mass balance series on Hintereisferner, Ötztal Alps, Austria: a detailed view into annual geodetic and glaciological observations

Comprehensive Spectral Signal Investigation of a Larch Forest Combining Ground- And Satellite-Based Measurements

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