Remote sensing evidence for a possible 10 kilometer in diameter impact structure in north-central Niger

Lobpries, Trey A.; Lapen, T. J.

doi:10.1016/j.jafrearsci.2018.09.020

Cited by 4 publications

(3 citation statements)

References 57 publications

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“…These confirm the impact craters with ultimate evidence (shatter cones and planar deformation features, etc.) [8][9][10]. Remote sensing can provide worldwide coverage of preliminary assessment of possible crater locations to narrow down candidates using satellite data [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…The topographic features from Digital Elevation Models (DEMs) can be used to identify possible candidates based on geomorphological characteristics such as crater rims and ring structures [9,15]. DEMs also can be used to define geomorphological parameters of confirmed caters from sophisticated geological surveys [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…Linear features extracted from Landsat satellite data revealed the orientation of linear geological structures and distribution of lithological units, such as ejecta of brecciated materials and shock-induced alterations [15,19]. Radial and annular lineament patterns have been observed in several exposed impact structures as a result of concentric depressions and rim escarpments [9]. Furthermore, automatic computer algorithms have been used to detect impact craters based on the circular morphometric resemblance of impact structures displayed in remote sensing data [20].…”

Section: Introductionmentioning

confidence: 99%

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Object-Oriented Remote Sensing Approaches for the Detection of Terrestrial Impact Craters as a Reconnaissance Survey

Emmanuel,

Yu,

Wang

et al. 2023

Remote Sensing

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The purpose of this study is to employ a remote sensing reconnaissance survey based on optimal segmentation parameters and an object-oriented random forest approach to the identification of possible terrestrial impact craters from the global 30-m resolution SRTM DEM. A dataset consisting of 94 confirmed and well-preserved terrestrial impact craters, 104 volcanic calderas, and 124 valleys were extracted from real-world surface features. For craters with different sizes, eight optimal scale parameters from 80 to 3000 have been identified using multi-resolution segmentation, where the scale parameters have a positive correlation (R2 = 0.78) with the diameters of craters. The object-oriented random forest approach classified the tested impact craters, volcanic calderas, and valleys with an overall accuracy of 88.4% and a Kappa coefficient of 0.8. The investigated terrestrial impact craters, in general, have relatively lower rim circularity, higher length-to-width ratio, and lower relief, slope, and elevation than volcanic calderas. The topographic characteristics can be explained by geological processes associated with the formation and post-deformation of impact craters. The excavation and ejection by initial impact and rebound of excavated materials contribute to low elevation. The post-impact deformation, including inward collapse and slump of unstable rims, weathering, erosion, and sediment deposition, further reduces elevation and relief and modifies shapes resulting in lower circularity and higher length-to-width ratio. Due to the resolution limitation of the source DEM data and the number of real-world samples, the model has only been validated for craters of 0.88 to 100 km in diameter, which can be generalized to explore undiscovered terrestrial impact craters using cloud computing with global datasets provided by platforms such as Google Earth Engine and Microsoft Planetary Computer.

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