Search results for: Joel C. Rowland

Items from 1 to 9 out of 9 results

article

A morphology independent methodology for quantifying planview river change and characteristics from remotely sensed imagery

Joel C. Rowland, Eitan Shelef, Paul A. Pope, Jordan Muss, more

Remote Sensing of Environment > 2016 > 184 > C > 212-228

Remotely sensed imagery of rivers has long served as a means for characterizing channel properties and detection of planview change. In the last decade the dramatic increase in the availability of satellite imagery and processing tools has created the potential to greatly expand the spatial and temporal scale of our understanding of river morphology and dynamics. To date, the majority of GIS and automated...

article

From documentation to prediction: raising the bar for thermokarst research

Joel C. Rowland, Ethan T. Coon

Hydrogeology Journal > 2016 > 24 > 3 > 645-648

Published in the theme issue “Land Subsidence Processes”

article

Preface: Land subsidence processes

Devin L. Galloway, Gilles Erkens, Eve L. Kuniansky, Joel C. Rowland

Hydrogeology Journal > 2016 > 24 > 3 > 547-550

Published in the theme issue “Land Subsidence Processes”

chapter

Change detection and classification of land cover in multispectral satellite imagery using clustering of sparse approximations (CoSA) over learned feature dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Garrett L. Altmann, more

2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) > 1 - 10

2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

Neuromimetic machine vision and pattern recognition algorithms are of great interest for landscape characterization and change detection in satellite imagery in support of global climate change science and modeling. We present results from an ongoing effort to extend machine vision methods to the environmental sciences, using adaptive sparse signal processing combined with machine learning. A Hebbian...

chapter

Recursive active contours for hierarchical segmentation of wetlands in high-resolution satellite imagery of Arctic landscapes

Alexei N. Skurikhin, Cathy J. Wilson, Anna Liljedahl, Joel C. Rowland

2014 Southwest Symposium on Image Analysis and Interpretation > 137 - 140

2014 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)

We present a semi-automated approach to recognize and hierarchically partition water-body regions of Arctic tundra landscape, such as streams, inundated drained thaw lake basins and ice wedge polygon ponds, in high resolution satellite imagery. The approach integrates the active contours without edges (ACWE) technique and shape-based recognition, and introduces a recursive mode of ACWE application...

article

Temporal and spatial pattern of thermokarst lake area changes at Yukon Flats, Alaska

Min Chen, Joel C. Rowland, Cathy J. Wilson, Garrett L. Altmann, more

Hydrological Processes > 28 > 3 > 837 - 852

To better understand the linkage between lake area change, permafrost conditions and intra‐annual and inter‐annual variability in climate, we explored the temporal and spatial patterns of lake area changes for a 422 382‐ha study area within Yukon Flats, Alaska using Landsat images of 17 dates between 1984 and 2009. Only closed basin lakes were used in this study. Among the 3529 lakes greater than...

article

The Importance of Natural Variability in Lake Areas on the Detection of Permafrost Degradation: A Case Study in the Yukon Flats, Alaska

Min Chen, Joel C. Rowland, Cathy J. Wilson, Garrett L. Altmann, more

Permafrost and Periglacial Processes > 24 > 3 > 224 - 240

Long‐term lake area change has previously been measured to detect the temporal rate and spatial extent of permafrost degradation. However, the natural intra‐ and interannual variability of lake areas has not been considered explicitly and quantitatively, which can substantially interfere with the detection of long‐term lake area change associated with permafrost degradation. In order to better understand...

article

Erosion at inception of deep-sea channels

Andrea Fildani, Stephen M. Hubbard, Jacob A. Covault, Katherine L. Maier, more

Marine and Petroleum Geology > 2013 > 41 > Complete > 48-61

We present a general model for channel inception and evolution in the deep sea by integrating observations from two complementary datasets: (1) high-resolution multibeam bathymetry and chirp sub-bottom profiles of the Lucia Chica channel system on the seafloor offshore central California, and (2) the well-exposed channelized strata of the Tres Pasos Formation in southern Chile. The Lucia Chica channel...

chapter

Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries

Daniela I. Moody, Steven P. Brumby, Joel C. Rowland, Chandana Gangodagamage

2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) > 1 - 10

2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2012)

Techniques for automated feature extraction, including neuroscience-inspired machine vision, are of current interest in the areas of climate change monitoring, change detection, and Land Use/Land Cover classification using satellite image data. We describe an approach for automatic classification of land cover in multispectral satellite imagery of the Arctic using sparse representations over learned...

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Search results for: Joel C. Rowland

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