A spatially comprehensive canopy cover dataset derived from NASA's ice, cloud and land elevation satellite-2 (ICESat-2) for the state of Alabama, USA. [PDF]
Data BriefNarine LL, Johnson B.
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Characterisation of water and vegetation from ICESAT
, 2009 La caractérisation de la végétation et de l‟eau dans la surface est une des tâches fondamentales pour les scientifiques, car son étude nous révèle les changements qui se produisent à cause de différents facteurs. Tout au long des années, les différentes communautés scientifiques ont développé des applications et des outils pour approfondir sa ...
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Narrowing the gap for city building height predictions. [PDF]
Sci RepWatson CS, Elliott JR.
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Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods. [PDF]
Sci RepGaskins AJ, Xia J, Bueno IT, Silva CA.
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Predicting mean depth and area fraction of Antarctic supraglacial melt lakes with physics-based parameterizations. [PDF]
Nat CommunGrau D, Hussain A, Robel AA.
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Accuracy assessment of topography and forest canopy height in complex terrain conditions of Southern China using ICESat-2 and GEDI data. [PDF]
Front Plant SciFu L +7 more
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Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data. [PDF]
Front Plant SciZhou W +7 more
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Merging Remote Sensing Derived River Slope Datasets with High-Resolution Hydrofabrics for the United States. [PDF]
Sci DataChen Y +6 more
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Spaceborne LiDAR Systems: Evolution, Capabilities, and Challenges. [PDF]
Sensors (Basel)Bolcek J +5 more
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Outburst of a subglacial flood from the surface of the Greenland Ice Sheet. [PDF]
Nat GeosciBowling JS +19 more
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