lidar: A Python package for delineating nested surface depressions from digital elevation data

scientific article published on 02 March 2021

lidar: A Python package for delineating nested surface depressions from digital elevation data is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.21105/JOSS.02965

P50authorQiusheng WuQ57910840
P2860cites workMatplotlib: A 2D Graphics EnvironmentQ17278583
scikit-image: image processing in PythonQ22442806
Efficient hybrid breaching-filling sink removal methods for flow path enforcement in digital elevation modelsQ57744519
Modelling surface drainage patterns in altered landscapes using LiDARQ57744540
Distinguishing actual and artefact depressions in digital elevation dataQ57744590
A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographical dataQ58501453
Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level‐Set MethodQ63885829
SciPy 1.0: fundamental algorithms for scientific computing in PythonQ84573952
Array programming with NumPyQ99413970
Automated delineation of karst sinkholes from LiDAR-derived digital elevation modelsQ99876845
Delineation and Quantification of Wetland Depressions in the Prairie Pothole Region of North DakotaQ99876864
P4510describes a project that usesPythonQ28865
P433issue59
P921main subjectPythonQ28865
lidarQ504027
Python packageQ29642950
P6104maintained by WikiProjectWikiProject SoftwareQ15659621
P304page(s)2965
P577publication date2021-03-02
P1433published inJournal of Open Source SoftwareQ50817797
P1476titlelidar: A Python package for delineating nested surface depressions from digital elevation data
P478volume6

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