61 Advancing Geologic Analysis with Digital Outcrops and Close-Range Remote Sensing Data (Posters)

This session highlights close-range remote sensing techniques (e.g., photogrammetry, LiDAR, hyperspectral imaging) in geologic analysis, focusing on innovative methodologies, workflows, case studies, and applications in structural geology, sedimentology, paleobiology, and critical mineral exploration.

Sunday, 19 October 2025
8:00 AM - 5:30 PM
HBGCC, Hall 1

Utilizing Drone-Mounted Multispectral Cameras for Paleontological Surveys, Nebraska (USA)

Paper number: 61-3
Program: Technical Sessions
Time: 8:00 AM – 8:00 AM

Authors

Abstract

Traditional field surveys for paleontological materials often face significant challenges, including remote locations, high transportation costs, difficult terrain, adverse climate conditions, complex logistics, and substantial time commitments. To help mitigate these limitations, remote sensing technologies offer an efficient method for identifying potential fossil-bearing sites across large areas. In this study, a fixed-wing drone was equipped with a S110 multispectral camera system (RGB/NIR/RE) to survey an approximately 500,000 meter2 area in northwest Nebraska (USA), known for early Cenozoic fossil vertebrates. Data were collected at a 30-meter altitude, yielding a near-infrared (NIR) pixel resolution of 0.13 m and RGB resolution of 0.036 m. After initial processing two classification techniques—Interactive Supervised Classification (ISC) and Pixel Inspector (PI)—were applied using ArcGIS software. By analyzing the geochemical spectral signatures associated with bone phosphate, several potential fossil localities were identified and grouped into 23 target areas. The ISC method used known fossil vertebrate NIR signatures in the area (1x1 pixel) as a standard to detect similar spectra across the study area. While effective in highlighting general areas of interest, ISC did not define locations of specific sites due to an excessive range in spectra values. In contrast, PI enabled for finer control by distinguishing pixel values “within range” versus “out of range”, facilitating the generation of semi-transparent overlays to visualize fossil hotspots on RGB imagery. PI analysis then generated the 23 target areas which were further ranked on their area. Although both methods showed promise, further refinement is necessary to improve model accuracy. Two key factors were identified: (1) the local background mineralogy—particularly high concentrations of montmorillonite (a clay mineral) in the study area—can interfere with bone phosphate detection, thus understanding local mineralogy is paramount and (2) fossil diagenesis may alter spectral responses, complicating interpretation. This latter issue might be partially addressed through laboratory spectral analyses of fossil samples in varying diagenetic states. In this study depositional patterns were used to resolve some challenges with clay exposures. Overall, this study demonstrates the potential of drone-mounted multispectral imaging systems as powerful tools for paleontological exploration, offering the ability to efficiently survey large areas and prioritize fieldwork in promising locations.

Geological Society of America Abstracts with Programs. Vol. 57, No. 6

doi: 10.1130/abs/2025AM-413267

© Copyright 2025 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.