Mapping sedimentary and volcanic units within and surrounding Petrified Forest National Park, Arizona, using Landsat-5 and SPOT panchromatic data

Mickus, Kevin L.; Johnson, Elias

doi:10.1080/01431160121297

Cited by 8 publications

(4 citation statements)

References 6 publications

(6 reference statements)

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“…As explained in the introduction, the idea of leveraging satellite images to enhance palaeontological surveys is not new, and this is particularly true for the Petrified Forest National Park (Mickus & Johnson, 2001; Jiménez, 2011). We tested an improved approach, focusing our attention on the recognition of single fossil logs exposed on the surface.…”

Section: Discussionmentioning

confidence: 99%

“…Satellite images had been previously applied to the national park, but none of them attempted to map the position of single fossil logs. Mickus & Johnson (2001) mapped sedimentary and volcanic units within the park and the surrounding area, while Jimenez (2011) tested the method described by Malakhov et al (2009) on an extensive surface within the national park, finding a good match between his classified Landsat 7 ETM+ image and the USGS geological map of the region.…”

Section: Test Case: Mapping Fossil Logs At Petrified Forest National ...mentioning

confidence: 99%

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Multispectral satellite imaging improves detection of large individual fossils

2022

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Palaeontological field surveys in remote regions are a challenge, because of uncertainty in finding new specimens, high transportation costs, risks for the crew and a long time commitment. The effort can be facilitated by using high-resolution satellite imagery. Here we present a new opportunity to investigate remote fossil localities in detail, mapping the optical signature of individual fossils. We explain a practical workflow for detecting fossils using remote-sensing platforms and cluster algorithms. We tested the method within the Petrified Forest National Park, where fossil logs are sparse in a large area with mixed lithologies. We ran both unsupervised and supervised classifications, obtaining the best estimations for the presence of fossil logs using the likelihood and spectral angle mapper algorithms. We recognized general constraints and described logical and physical pros and cons of each estimated map. We also explained how the outcomes should be critically evaluated with consistent accuracy tests. Instead of searching for fossiliferous outcrops, our method targets single fossil specimens (or highly condensed accumulations), obtaining a significant increase in potential efficiency and effectiveness of field surveys. When repeatedly applied to the same region over time, it could also be useful for monitoring palaeontological heritage localities. Most importantly, the method here described is feasible, easily applicable to both fossil logs and bones, and represents a step towards standard best practices for applying remote sensing in the palaeontological field.

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Section: Discussionmentioning

confidence: 99%

Section: Test Case: Mapping Fossil Logs At Petrified Forest National ...mentioning

confidence: 99%

Multispectral satellite imaging improves detection of large individual fossils

2022

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“…The selection of TM bands thus emphasized red to mid-infrared wavelengths, where variation between the reflectance properties of individual lithologies is typically greatest (e.g. Drury 1993, Schetselaar 1994, Galvão and Vitorello 1995, Mickus and Johnson 2001, Lorenz 2004. In order to support separate linear unmixing procedures, the data .…”

Section: Landsat Tm and Hyperion Datasetsmentioning

confidence: 99%

Discrimination of sedimentary lithologies using Hyperion and Landsat Thematic Mapper data: a case study at Melville Island, Canadian High Arctic

Leverington

2010

International Journal of Remote Sensing

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The use of remote-sensing techniques in the discrimination of rock and soil classes in northern regions can support a diverse range of activities, such as environmental characterization, mineral exploration and the study of Quaternary paleoenvironments. Although images with low spectral resolution can commonly be used in the mapping of classes possessing distinct spectral properties, hyperspectral images offer greater potential for discrimination of materials characterized by more subtle reflectance properties. In an effort to better constrain the utility of broadband and hyperspectral datasets in high-latitude research, this study investigated the effectiveness of Landsat Thematic Mapper (TM) and EO-1 Hyperion data for discrimination of lithological classes at eastern Melville Island, Nunavut, Canada. TM data were classified using a standard neural-network algorithm, and both TM and Hyperion data were linearly unmixed using ground-truth spectra. TM classification results successfully discriminate between classes over much of the study area, although with incomplete separation between clastic and carbonate materials. TM unmixing results are poor, with useful class separation restricted to vegetation and red-weathered sandstone classes. Hyperion results effectively depict the fractional cover of end members, although the abundance images of several classes contain background abundance values that overestimate surface exposure in some areas. For the study area and surface classes involved, noisy hyperspectral data were found to be of greater utility than higher-fidelity broadband multispectral data in the generation of fractional abundance images for an inclusive set of surface-cover classes.

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“…The Brovey transformation (Mickus and Johnson 2001), a versatile statistical data merging method, was then used to combine reflective multi-spectral bands at 30 m resolution with the Landsat ETM+ unique panchromatic band. This method aims to fuse higher spatial data with the other data 4514…”

Section: Technical Approachmentioning

confidence: 99%

Determination of neotectonic features of the Karasu Basin (SE Turkey) and their relationship with Quaternary volcanic activity using Landsat ETM+ imagery

Kavak

Tatar

Piper

et al. 2009

International Journal of Remote Sensing

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The junction between the East Anatolian and the Dead Sea fault zones lies close to an unstable F: Transform fault (FFF) triple junction where the African, Eurasian and Arabian plates meet in south-eastern Turkey. The Karasu Basin is an ephemeral rifted structure located close to the junction of these plate boundaries and is expressed by a range of tectono-morphological features. This study uses remote sensing to define tectonic structures and discriminate volcanic rocks linked to rifting within the basin using Landsat Enhanced Thematic Mapper Plus (ETM+) imagery. Prior to advanced image processing stages, images were corrected to eliminate atmospheric scattering effects and determine the best band combination for multispectral processing techniques based on statistical methods. Following preprocessing stages, edge detection filters were applied to derive tectonic structures defining the basin. The Brovey transformation, a statistical data merging method, was used to combine reflective multi-spectral bands with the Landsat ETM+ panchromatic band. This method fuses higher spatial data with data of lower spatial value. The western margin of the Karasu Basin is defined by the left-lateral Amanos Fault Zone with a contemporary motion (c. -0.4 mm a -1 ) probably accommodating most of the left-lateral strike-slip motion between Arabian and African plates on the northern continuation of the Dead Sea Fault Zone. The rift zone has been the site of extensive recent volcanism concentrated within the Brunhes Chron (,0.78 Ma) and linked to fault block rotations between the intracontinental master faults. The boundaries of this activity are defined here using a regolith mapping technique.

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Mapping sedimentary and volcanic units within and surrounding Petrified Forest National Park, Arizona, using Landsat-5 and SPOT panchromatic data

Cited by 8 publications

References 6 publications

Multispectral satellite imaging improves detection of large individual fossils

Multispectral satellite imaging improves detection of large individual fossils

Discrimination of sedimentary lithologies using Hyperion and Landsat Thematic Mapper data: a case study at Melville Island, Canadian High Arctic

Determination of neotectonic features of the Karasu Basin (SE Turkey) and their relationship with Quaternary volcanic activity using Landsat ETM+ imagery

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