Article · Journal · 2023

THE EXPLAINABILITY OF GRADIENT-BOOSTED DECISION TREES FOR DIGITAL ELEVATION MODEL (DEM) ERROR PREDICTION

Chukwuma John Okolie, Jon P. Mills, Adedayo Adeleke, Julian L. Smit, Ikechukwu D. Maduako

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Open access · Diamond
International · 4 countries

Read it 10.5194/isprs-archives-xlviii-m-3-2023-161-2023

Citations: 5from other works
Field-weighted impact: 0.411.00 is the world average for its field and year
Among its field: 52nd percentileby citations, against works of its field and year
Authors: 5from 5 institutions

Authors

5 authors across 5 institutions in 4 countries

Chukwuma John OkolieFirst author
- University of Cape Town (ZA)
- University of Lagos (NG)
as printed: C. Okolie
Jon P. Mills
as printed: J. Mills
Adedayo Adeleke
- University of Pretoria (ZA)
as printed: A. Adeleke
Julian L. Smit
as printed: J. Smit
Ikechukwu D. MaduakoSenior author
as printed: I. Maduako

THE EXPLAINABILITY OF GRADIENT-BOOSTED DECISION TREES FOR DIGITAL ELEVATION MODEL (DEM) ERROR PREDICTION

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