Small-volume monogenetic igneous landforms and edifices statistics (SMILES): A catalog of representative mafic volcanic landforms to enable quantitative remote identification
نویسندگان
چکیده
Accurate classification of terrestrial and non-terrestrial volcanic landforms requires a robust suite morphometric parameters. The Small-volume Monogenetic Igneous Landforms Edifices Statistics (SMILES) catalog contains the characterizations mafic small-volume was created using uncrewed aerial system photogrammetry, open-source LiDAR, digital elevation model repositories. This study analyzed 20 simple maars, 22 lava collapse features, 24 ring scoria cones, spatter (fissure point source ramparts), high-resolution (<0.1–5 m/pixel) models to establish what dimensionless parameters enable remote identification studied landforms. Parameters include isoperimetric circularity, depth ratio (crater depth/major chord), interior slope angles, as well crater base ratios for area, perimeter, major chord lengths. were limited basal width <2 km <1 3 cones landforms, 2 or less features maars. Simple maars have an aspect (AR) (>0.74), circularity (IC) (>0.90), angle (<47°), (<0.26) creating distinct range Lava exhibit wider variability in AR (0.26–0.95), IC (0.46–0.98), (up 16–86°), (0.25–0.52). Scoria cone craters (>0.54), (>0.81), (<34°), lower (<0.25). Spatter (0.25–0.94), (0.43–0.98), (<63°), (0.04–0.37). crater/base area perimeter than demonstrates that while individual parameter is not diagnostic recognizing remotely, is. SMILES value evaluating populations similar higher-resolution datasets suites parameters, accurate positive technique used this can be applied other non-volcanic on Earth, targets.
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ژورنال
عنوان ژورنال: Frontiers in Earth Science
سال: 2022
ISSN: ['2296-6463']
DOI: https://doi.org/10.3389/feart.2022.910107