TY - GEN
T1 - LiDARThAn
T2 - 2021 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021
AU - Anamelechi, Falasy
AU - Cooke, Richard
N1 - Publisher Copyright:
© ASABE 2021.All right reserved.
PY - 2021
Y1 - 2021
N2 - This paper presents the first in a series of "one-click QGIS plugins," being developed at the University of Illinois, that aggregate and automate several drainage processing and analyzing tasks on LiDAR data. This plugin, 'DEM Drainage Analyses (a.k.a LiDARThAn)' performs such tasks as boundary extraction, DEM resampling, pixels point conversion, and the extraction of pointelevation data from LiDAR DEM data in just one click. LiDARThAn was developed to make DEM drainage analyses on LiDAR data available to broader audiences. The developed plugin takes advantage of several internal QGIS integrated algorithms. The plugin was developed in the Python 3.7 language for fast execution. The LiDARThAn plugin is compatible with QGIS version 3.0 and later versions and is available for free download from the official QGIS Plugin Repository. Although developed to provide data to facilitate drainage applications such as monitoring channel flows, mapping stream networks, or creating contour lines, LiDARThAn is also useful for broader utilization including hydrological and ecosystem management. It offers a link between science and practical application of LiDAR data for most environmental analyses. The case study used for testing the plugin shows that the developed QGIS plugin, implements the LiDAR Thinning and DEM analyses process with success. LiDARThAn is envisioned as a part of a larger suite of "oneclick QGIS plugins" for drainage design and layout.
AB - This paper presents the first in a series of "one-click QGIS plugins," being developed at the University of Illinois, that aggregate and automate several drainage processing and analyzing tasks on LiDAR data. This plugin, 'DEM Drainage Analyses (a.k.a LiDARThAn)' performs such tasks as boundary extraction, DEM resampling, pixels point conversion, and the extraction of pointelevation data from LiDAR DEM data in just one click. LiDARThAn was developed to make DEM drainage analyses on LiDAR data available to broader audiences. The developed plugin takes advantage of several internal QGIS integrated algorithms. The plugin was developed in the Python 3.7 language for fast execution. The LiDARThAn plugin is compatible with QGIS version 3.0 and later versions and is available for free download from the official QGIS Plugin Repository. Although developed to provide data to facilitate drainage applications such as monitoring channel flows, mapping stream networks, or creating contour lines, LiDARThAn is also useful for broader utilization including hydrological and ecosystem management. It offers a link between science and practical application of LiDAR data for most environmental analyses. The case study used for testing the plugin shows that the developed QGIS plugin, implements the LiDAR Thinning and DEM analyses process with success. LiDARThAn is envisioned as a part of a larger suite of "oneclick QGIS plugins" for drainage design and layout.
KW - Dem
KW - Drainage analyses
KW - Plugins
KW - Qgis software
UR - http://www.scopus.com/inward/record.url?scp=85114270388&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114270388&partnerID=8YFLogxK
U2 - 10.13031/aim.202100069
DO - 10.13031/aim.202100069
M3 - Conference contribution
AN - SCOPUS:85114270388
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021
SP - 202
EP - 209
BT - American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021
PB - American Society of Agricultural and Biological Engineers
Y2 - 12 July 2021 through 16 July 2021
ER -