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  • Presentation | B43J: Seeing the Forests and the Trees: Advances in Active Remote Sensing Capabilities Leading to a Better Understanding of Forest Ecosystems and Natural Resource Management II Poster
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  • B43J-2069: Uncovering definition inconsistencies in dryland woody cover maps using UAV-based lidar data
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  • Board 2069‚ Hall EFG (Poster Hall)
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Author(s):
Xinyuan Li, University of Maryland College Park (First Author, Presenting Author)
Matthew Hansen, University of Maryland
Peter Potapov, University of Maryland
Alexandra Tyukavina, University of Maryland
Amadou Dieye, Centre de Suivi Ecologique
Cheikh Mbow, Centre de Suivi Ecologique
Abdoul Diouf, Centre de Suivi Ecologique
Andrew Poulson, University of Maryland
Walter Andres Hernandez Serna, University of Maryland College Park
Jeffrey Pickering, University of Maryland, Department of Geographical Sciences
Babacar Ndao, Centre de Suivi Ecologique
Cheikh Mame Mor Mbodji, Centre de Suivi Ecologique
Katherine Melocik, NASA Goddard Space Flight Center


Dryland woody cover mapping remains a challenge given the great variations in the vegetation life forms in dryland ecosystem. A major barrier lies in the lack of consistent definition framework in the existing studies: physiognomic structural thresholds (height/cover) are often unspecified or inconsistently applied between the mapped target and reference data. To reveal and quantify the discrepancies in the existing maps, we used field UAV lidar data as reference and assessed three large-scale woody cover maps, in terms of their physiognomic structure meaning and the related accuracy. The study was conducted in Senegal, which features a diverse composition of woody vegetation height and cover. We found that the continental-scale woody cover maps, derived using advanced high resolution data and algorithms have low spatial agreement and low accuracies over Senegal. The discrepancies highlight the need to adopt consistent definition framework to ensure map quality and robust validation. Through this study, we call for unifying the definition framework – to adopt clear height and cover thresholds when building the legend in the woody cover mappings.



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