scholarly article | Q13442814 |
P356 | DOI | 10.21105/JOSS.02965 |
P50 | author | Qiusheng Wu | Q57910840 |
P2860 | cites work | Matplotlib: A 2D Graphics Environment | Q17278583 |
scikit-image: image processing in Python | Q22442806 | ||
Efficient hybrid breaching-filling sink removal methods for flow path enforcement in digital elevation models | Q57744519 | ||
Modelling surface drainage patterns in altered landscapes using LiDAR | Q57744540 | ||
Distinguishing actual and artefact depressions in digital elevation data | Q57744590 | ||
A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographical data | Q58501453 | ||
Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level‐Set Method | Q63885829 | ||
SciPy 1.0: fundamental algorithms for scientific computing in Python | Q84573952 | ||
Array programming with NumPy | Q99413970 | ||
Automated delineation of karst sinkholes from LiDAR-derived digital elevation models | Q99876845 | ||
Delineation and Quantification of Wetland Depressions in the Prairie Pothole Region of North Dakota | Q99876864 | ||
P4510 | describes a project that uses | Python | Q28865 |
P433 | issue | 59 | |
P921 | main subject | Python | Q28865 |
lidar | Q504027 | ||
Python package | Q29642950 | ||
P6104 | maintained by WikiProject | WikiProject Software | Q15659621 |
P304 | page(s) | 2965 | |
P577 | publication date | 2021-03-02 | |
P1433 | published in | Journal of Open Source Software | Q50817797 |
P1476 | title | lidar: A Python package for delineating nested surface depressions from digital elevation data | |
P478 | volume | 6 |
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