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Muhammad Irsyadi Firdaus
P66067055
LASER REMOTE SENSING 1
A Paper Report Of
Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream
Habitats—A Case Study at the Pielach River
Gottfried Mandlburger, Christoph Hauer, MartinWieser and Norbert Pfeifer
Remote Sensing 7 (2015) 6160–6195
1. Summary of the Paper
Airborne LiDAR Bathymetry (ALB) has been rapidly evolving in recent
years and now allows fluvial topography to be mapped in high resolution
(>20points/m ) and height accuracy (<10cm) for both the aquatic and the
riparian area. This article presents methods for enhanced modeling and
monitoring of instream meso- and microhabitats based on multitemporal data
acquisition. Case studies in this paper are the Pielach River, with data acquired
from April 2013 to October 2014, covering two flood events. In comparison
with topographic laser scanning, ALB requires a number of specific processing
steps. Firstly, a novel approach for modeling the water surface in the case of
sparse water surface echoes and, secondly, a strategy for improved filtering and
modeling of the Digital Terrain Model of the Watercourse (DTM-W).
Furthermore, for the first time, such a high-resolution data source (Bathymetric
LiDAR Data) is used for monitoring of hydro-morphological units (mesohabitat
scale) including the consequences for the target fish species base
(Chondrostoma cases, microhabitat scale)
The surveyed reference points were classified into five categories: (i) sealed
road; (ii) river bed; (iii) alluvial forest; (iv) grassland; and (v) gravel. Those five
categories represent all relevant land cover categories within the study area.
Finally conclude that topo-bathymetric LiDAR at high spatial and temporal
resolution is a viable method for monitoring of instream habitats but also for
studying potential floods, thus contributing to various directives (Fauna-Flora-
Habitat, Water Framework, Flood).
2. Reason for Choosing Paper
The reason I chose this paper is this paper explains how the LiDAR
bathymetry can be used to measuring the depths of relatively shallow, coastal
waters from the air using such a scanning, the pulsed green laser beam. With
the recent advent of topo-bathymetric LiDAR, simultaneous monitoring of land
surfaces and water bodies became possible.
The method used in this paper is very clear and easy to understand which is
accompanied by pictures, tables and chart. Furthermore, I am very interested in
this paper because in this paper shows that monitoring of instream habitats via
repeat surveys has not been performed by airborne topo-bathymetric LiDAR so
far, especially not at simultaneously high temporal and geometric resolution.
3. Contribution of the Paper
The contribution of this paper are present and evaluate new methods (i)
determine of the river water surface using only a few reflections available from
the green LiDAR; (ii) modeling the topography of the river bed and the riparian
area; (iii) derive spatially variable DEM of Differences (DoD) error estimates
for significantly distinguishing between real changes and noise; (iv) to study the
Muhammad Irsyadi Firdaus
P66067055
LASER REMOTE SENSING 2
dynamic river morphology and verify the findings by field visits; and (v)
demonstrate how these models can be used for modeling aquatic habitats.
4. Possible future research
The future studies are to overcome the problems of classification into land
surface and vegetation points at steep banks. Introduced an additional explicit
terrain break line modeling step. For the wetted perimeter, a new classification
method based on measured and derived point features allowed separation of the
laser echoes into river bottom, volume backscatter, and water surface.
5. Comparison with Other Paper
In Hilldale paper, airborne LiDAR bathymetry for the wet area and standard
airborne topographic LiDAR from two different campaigns are combined for
modeling the riverine area. A numerical hydrodynamic 2D model are used to
derive microhabitats (pool, riffle, glide) and microhabitats on the basis of
Froude numbers (especially spawning habitats). Data used on that paper only
one epoch and verification was performed by field investigations, going along
the river with a boat while the reviewed paper used data acquired from April
2013 to October 2014. This reference also includes an accuracy assessment,
indicating a mean elevation difference of 15–25cm between terrestrial and
LiDAR bathymetric measurements and a standard deviation of 11–35cm.
The suggested method for modeling the water surface were compared to
terrestrial reference measurements and showed a bias below 2cm and a standard
deviation of 3cm. In comparison to previous studies evaluating the offset
between air/water interface and surface reflections, in this paper has modeling
approach shows smaller deviations. Furthermore, in this paper performed for
four epochs have been chosen for study.
6. References
Mandlburger, Gottfried.; Hauer, Christoph.; Wieser, Martin.; Pfeifer, Norbert.
2015. Topo-Bathymetric LiDAR for Monitoring River Morphodynamics
and Instream Habitats—A Case Study at the Pielach River. Remote
Sensing. Vol :7, P: 6160-6195
Hilldale, R. Using bathymetric Lidar and a 2D hydraulic model to identify
aquatic river habitat. In Proceedings of the World Environmental and
Water Resources Congress 2007, Tampa, FL, USA, 15–19 May 2007

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Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream Habitats—A Case Study at the Pielach River

  • 1. Muhammad Irsyadi Firdaus P66067055 LASER REMOTE SENSING 1 A Paper Report Of Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream Habitats—A Case Study at the Pielach River Gottfried Mandlburger, Christoph Hauer, MartinWieser and Norbert Pfeifer Remote Sensing 7 (2015) 6160–6195 1. Summary of the Paper Airborne LiDAR Bathymetry (ALB) has been rapidly evolving in recent years and now allows fluvial topography to be mapped in high resolution (>20points/m ) and height accuracy (<10cm) for both the aquatic and the riparian area. This article presents methods for enhanced modeling and monitoring of instream meso- and microhabitats based on multitemporal data acquisition. Case studies in this paper are the Pielach River, with data acquired from April 2013 to October 2014, covering two flood events. In comparison with topographic laser scanning, ALB requires a number of specific processing steps. Firstly, a novel approach for modeling the water surface in the case of sparse water surface echoes and, secondly, a strategy for improved filtering and modeling of the Digital Terrain Model of the Watercourse (DTM-W). Furthermore, for the first time, such a high-resolution data source (Bathymetric LiDAR Data) is used for monitoring of hydro-morphological units (mesohabitat scale) including the consequences for the target fish species base (Chondrostoma cases, microhabitat scale) The surveyed reference points were classified into five categories: (i) sealed road; (ii) river bed; (iii) alluvial forest; (iv) grassland; and (v) gravel. Those five categories represent all relevant land cover categories within the study area. Finally conclude that topo-bathymetric LiDAR at high spatial and temporal resolution is a viable method for monitoring of instream habitats but also for studying potential floods, thus contributing to various directives (Fauna-Flora- Habitat, Water Framework, Flood). 2. Reason for Choosing Paper The reason I chose this paper is this paper explains how the LiDAR bathymetry can be used to measuring the depths of relatively shallow, coastal waters from the air using such a scanning, the pulsed green laser beam. With the recent advent of topo-bathymetric LiDAR, simultaneous monitoring of land surfaces and water bodies became possible. The method used in this paper is very clear and easy to understand which is accompanied by pictures, tables and chart. Furthermore, I am very interested in this paper because in this paper shows that monitoring of instream habitats via repeat surveys has not been performed by airborne topo-bathymetric LiDAR so far, especially not at simultaneously high temporal and geometric resolution. 3. Contribution of the Paper The contribution of this paper are present and evaluate new methods (i) determine of the river water surface using only a few reflections available from the green LiDAR; (ii) modeling the topography of the river bed and the riparian area; (iii) derive spatially variable DEM of Differences (DoD) error estimates for significantly distinguishing between real changes and noise; (iv) to study the
  • 2. Muhammad Irsyadi Firdaus P66067055 LASER REMOTE SENSING 2 dynamic river morphology and verify the findings by field visits; and (v) demonstrate how these models can be used for modeling aquatic habitats. 4. Possible future research The future studies are to overcome the problems of classification into land surface and vegetation points at steep banks. Introduced an additional explicit terrain break line modeling step. For the wetted perimeter, a new classification method based on measured and derived point features allowed separation of the laser echoes into river bottom, volume backscatter, and water surface. 5. Comparison with Other Paper In Hilldale paper, airborne LiDAR bathymetry for the wet area and standard airborne topographic LiDAR from two different campaigns are combined for modeling the riverine area. A numerical hydrodynamic 2D model are used to derive microhabitats (pool, riffle, glide) and microhabitats on the basis of Froude numbers (especially spawning habitats). Data used on that paper only one epoch and verification was performed by field investigations, going along the river with a boat while the reviewed paper used data acquired from April 2013 to October 2014. This reference also includes an accuracy assessment, indicating a mean elevation difference of 15–25cm between terrestrial and LiDAR bathymetric measurements and a standard deviation of 11–35cm. The suggested method for modeling the water surface were compared to terrestrial reference measurements and showed a bias below 2cm and a standard deviation of 3cm. In comparison to previous studies evaluating the offset between air/water interface and surface reflections, in this paper has modeling approach shows smaller deviations. Furthermore, in this paper performed for four epochs have been chosen for study. 6. References Mandlburger, Gottfried.; Hauer, Christoph.; Wieser, Martin.; Pfeifer, Norbert. 2015. Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream Habitats—A Case Study at the Pielach River. Remote Sensing. Vol :7, P: 6160-6195 Hilldale, R. Using bathymetric Lidar and a 2D hydraulic model to identify aquatic river habitat. In Proceedings of the World Environmental and Water Resources Congress 2007, Tampa, FL, USA, 15–19 May 2007