Blar i Brage INN på forfatter "Sani-Mohammed, Abubakar"
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Characterizing Forest Plot Decay Levels Based on Leaf Area Index, Gap Fraction, and L-Moments from Airborne LiDAR
Sani-Mohammed, Abubakar; Yao, Wei; Wong, Tsz Chung; Fekry, Reda; Heurich, Marco Dietmar (Peer reviewed; Journal article, 2024)Effective forest management is essential for mitigating climate change effects. This is why understanding forest growth dynamics is critical for its sustainable management. Thus, characterizing forest plot deadwood levels ... -
Classification of single tree decay stages from combined airborne LiDAR data and CIR imagery
Wong, Tsz-Chung; Sani-Mohammed, Abubakar; Wang, Jinhong; Wang, Puzuo; Yao, Wei; Heurich, Marco Dietmar (Peer reviewed; Journal article, 2024)Understanding forest health is of great importance for the conservation of the integrity of forest ecosystems. The monitoring of forest health is, therefore, indispensable for the long-term conservation of forests and their ... -
Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning
Sani-Mohammed, Abubakar; Yao, Wei; Heurich, Marco Dietmar (Peer reviewed; Journal article, 2022)Mapping standing dead trees, especially, in natural forests is very important for evaluation of the forest's health status, and its capability for storing Carbon, and the conservation of biodiversity. Apparently, natural ...