A5011011327- Remote Sensing and LiDAR Applications
- Coastal and Marine Dynamics
- Hydrology and Sediment Transport Processes
- Remote-Sensing Image Classification
- Methane Hydrates and Related Phenomena
- Soil erosion and sediment transport
- Geological formations and processes
- Aeolian processes and effects
- Underwater Acoustics Research
- Industrial Vision Systems and Defect Detection
- Advanced Computational Techniques and Applications
- Coastal wetland ecosystem dynamics
- Water Quality Monitoring Technologies
- Hydrology and Watershed Management Studies
- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
- 3D Surveying and Cultural Heritage
- Fish Ecology and Management Studies
- Tropical and Extratropical Cyclones Research
- Atmospheric and Environmental Gas Dynamics
- Medical Image Segmentation Techniques
- Identification and Quantification in Food
- Marine and coastal plant biology
- Flood Risk Assessment and Management
- Digital Imaging for Blood Diseases
United States Geological Survey
2009-2025
Northern Arizona University
2017-2024
Pacific Science Center
2009-2024
Pacific Coastal and Marine Science Center
2021-2024
Advanced Neural Dynamics (United States)
2024
Flagstaff Medical Center
2020-2023
U.S. Army Engineer Research and Development Center
2023
Sofar (Italy)
2022
St. Petersburg Coastal and Marine Science Center
2022
Southwest Biological Science Center
2015-2016
Abstract Satellite remote sensing is transforming coastal science from a “data-poor” field into “data-rich” field. Sandy beaches are dynamic landscapes that change in response to long-term pressures, short-term pulses, and anthropogenic interventions. Until recently, the rate breadth of beach have outpaced our ability monitor those changes, due spatiotemporal limitations observational capacity. Over past several decades, only handful worldwide been regularly monitored with accurate yet...
Abstract Satellite remote sensing is becoming a widely used monitoring technique in coastal sciences. Yet, no benchmarking studies exist that compare the performance of popular satellite-derived shoreline mapping algorithms against standardized sets inputs and validation data. Here we present new framework to evaluate accuracy change observations extracted from publicly available satellite imagery (Landsat Sentinel-2). Accuracy precision five established are evaluated at four sandy beaches...
Abstract In images of sedimentary or granular material, simulations binary (two‐phase) media, in which the individual grains are resolved, complete size distribution apparent grain axes is well‐approximated by global power spectral density function derived using a Morlet wavelet. This approach overcomes many limitations previous automated methods for estimating grain‐size from images, all rely on either: identification and segmentation grains; calibration and/or relatively large sample...
The application of deep learning, specifically convolutional neural networks (DCNNs), to the classification remotely-sensed imagery natural landscapes has potential greatly assist in analysis and interpretation geomorphic processes. However, general usefulness learning applied conventional photographic at a landscape scale is, yet, largely unproven. If DCNN-based image is gain wider acceptance within geoscience community, demonstrable successes need be coupled with accessible tools retrain...
First posted June 14, 2021 For additional information, contact: Director, Woods Hole Coastal and Marine Science CenterU.S. Geological Survey384 RoadQuissett CampusWoods Hole, MA 02543–1598508–548–8700 or 508–457–2200 Structure from motion (SFM) has become an integral technique in coastal change assessment; the U.S. Survey (USGS) used Agisoft Metashape Professional Edition photogrammetry software to develop a workflow that processes coastline aerial imagery collected response storms since...
Abstract We report on remote sensing techniques developed to characterize seasonal shoreline cycles from satellite‐derived measurements. These are applied 22‐yr of measurements for over 777 km beach along California's 1,700‐km coast, which the general understanding is that shorelines exhibit winter‐narrow and summer‐recovery seasonality. find approximately 90% transects significant recurring in position. Seasonal excursions twice as large northern central California (17.5–32.2 m) than...
The two‐dimensional spectral decomposition of an image sediment provides a direct statistical estimate, grid‐by‐number style, the mean all intermediate axes single particles within image. We develop and test this new method which, unlike existing techniques, requires neither processing algorithms for detection measurement individual grains, nor calibration. only information required operator is spatial resolution tested with images bed from nine different sedimentary environments (five...
Abstract The autocorrelation technique for estimating grain‐size from digital images of sand beds has been extended and validated use on coarse (0·7 mm) gravel (up to ∼20 mm). A number aspects the have explored some potential improvements suggested. Autocorrelation is just one suitable statistical method sensitive sediment in images; four additional techniques are presented their relative merits discussed. collective suite applicable general problem estimation might broaden applicability...
Abstract A new application of the autocorrelation grain size analysis technique for mixed to coarse sediment settings has been investigated. Photographs sand‐ boulder‐sized along Elwha River delta beach were taken from approximately 1·2 m above ground surface, and detailed measurements made 32 these sites calibration validation. Digital photographs found provide accurate estimates long intermediate axes surface (r 2 > 0·98), but poor short = 0·68), suggesting that naturally oriented in...
Abstract I describe a configurable machine‐learning framework to estimate suite of continuous and categorical sedimentological properties from photographic imagery sediment, exemplify how machine learning can be powerful flexible tool for automated quantitative qualitative measurements remotely sensed imagery. The model is tested on dataset consisting 409 images associated detailed label data. data are much wider spectrum than previous optical granulometry studies, both well‐ poorly sorted...
Abstract Segmentation, or the classification of pixels (grid cells) in imagery, is ubiquitously applied natural sciences. Manual methods are often prohibitively time‐consuming, especially those images consisting small objects and/or significant spatial heterogeneity colors textures. Labeling complicated regions transition that Earth surface imagery represented by collections mixed‐pixels, ‐textures, and ‐spectral signatures, can be error‐prone because it difficult to reliably unmix, identify...
Abstract The northern California littoral cell of the Klamath River, which is a mixed rocky and sandy system with significant shoreline curvature, was investigated by examining ∼40 yr satellite‐derived positions historical records. We find that an accretion wave sediment initiated near River mouth in late 1980s translated downcoast over subsequent decades. passed rapidly (∼2,500 m/yr) through coastal reach more oblique directions slowly (∼200 where crests approach at normal angles. Within...
Abstract Barrier islands are especially vulnerable to hurricanes and other large storms, owing their mobile composition, low elevations, detachment from the mainland. Conceptual models of barrier‐island evolution emphasize ocean‐side processes that drive landward migration through overwash, inlet migration, aeolian transport. In contrast, we found impact Hurricane Dorian (2019) on North Core Banks, a 36‐km barrier island Outer Banks Carolina, was primarily driven by inundation Pamlico Sound,...
Fitzpatrick et al., (2024). CoastSeg: an accessible and extendable hub for satellite-derived-shoreline (SDS) detection mapping. Journal of Open Source Software, 9(99), 6683, https://doi.org/10.21105/joss.06683
Shoreline measurement techniques using satellite-derived imagery can provide decades of observations shoreline change. Here we apply these to the western south shore Long Island, New York, which has three distinct beaches, Rockaway Peninsula, Beach, and Jones Beach are 18, 15, 24 km in length, respectively. These beaches recreation areas for millions regional residents include several groin fields, sediment dredging nourishment operations, a coastal wave climate that includes winter...
We report observations of water surface elevation, currents, and suspended sediment concentration (SSC) from a 10‐m deep site on the inner shelf in northern Monterey Bay during arrival 2010 Chile tsunami. Velocity profiles were measured 3.5 m above bed (mab) to at 2 min intervals, 0.1 0.7 mab 1 Hz. SSC was determined acoustic backscatter near‐bed profiler. The initial tsunami waves directed cross shore had period approximately 16 min. Maximum wave height 1.1 m, maximum current speed 0.36...
Abstract Most techniques for estimating settling velocities of natural particles have been developed siliciclastic sediments. Therefore, to understand how these apply bioclastic environments, measured sedimentary deposits sampled from a nearshore fringing reef in Western Australia were compared with calculated using results several common grain‐size analysis (sieve, laser diffraction and image analysis) established models. The effects sediment density shape also examined range values three...
The use of low-cost, low-profile, and highly portable sidescan sonar is on the ascendancy for imaging shallow riverine benthic sediments. A new automated, spatially explicit, physically-based method calculating lengthscales bed texture elements in echograms (a 2D plot acoustic intensity as a function slant range distance) suggested. It uses spectral analysis based wavelet transform short sequences echograms. recursive application over small overlapping windows echogram provides robust...