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• 1. [Article] The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps

  To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier ...

  Citation × Citation Citation Abstract Copy Title: The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps Author: Ackers, Steven H., Dugger, Katie M., Davis, Raymond J., Olsen, Keith A. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/remote-sensing-of-environment. Title: The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps Author: Ackers, Steven H., Dugger, Katie M., Davis, Raymond J., Olsen, Keith A. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/remote-sensing-of-environment. Close

• 2. [Article] Oregon Explorer : Natural resources information for current and future decision-makers

  Oregon Explorer (www.oregonexplorer.info), a natural resources digital library developed by Oregon State University Libraries and the Institute for Natural Resources, was created for Oregon’s natural resource ...

  Citation × Citation Citation Abstract Copy Title: Oregon Explorer : Natural resources information for current and future decision-makers Author: Salwasser, Janine, Wirth, Andrea A. Oregon Explorer (www.oregonexplorer.info), a natural resources digital library developed by Oregon State University Libraries and the Institute for Natural Resources, was created for Oregon’s natural resource decision-makers to promote informed and streamlined public and private decision-making. Examples of projects and successes of the Oregon Explorer include a basin portal for the Umpqua River, developed in conjunction with the Partnership for Umpqua Rivers, as well as topic portals, such as the Land Use Explorer launched in October 2007 to inform Oregonians about land use history and current issues. We have learned that in the natural resources arena, user needs change with different geographies, yet the adaptations made at the local level are useful in expanding the content and services delivered at the statewide level. It is not enough to just provide access to data or documents. Users want access to a wide variety of integrated information resources—digital documents, interactive maps and reports, decision support, high resolution imagery, and access to available expertise. With Oregon Explorer becoming established as a tool for decision-makers and citizens, members of the team are exploring opportunities to use the digital library in classroom settings. Students in Oregon’s K-12 schools and OSU’s undergraduates are groups that we feel could benefit from the natural resources information and tools available. Proposals are being developed to extend Oregon Explorer’s capabilities for use in primary and secondary education. Oregon Explorer is being used in several university classrooms and will become more integrated as the content and tools grow and as strategies for further incorporation are developed. This evolving natural resources digital library will enable current and future decision-makers to learn about Oregon's environment and to actively engage in creating and sharing knowledge before decisions are made. Title: Oregon Explorer : Natural resources information for current and future decision-makers Author: Salwasser, Janine, Wirth, Andrea A. Oregon Explorer (www.oregonexplorer.info), a natural resources digital library developed by Oregon State University Libraries and the Institute for Natural Resources, was created for Oregon’s natural resource decision-makers to promote informed and streamlined public and private decision-making. Examples of projects and successes of the Oregon Explorer include a basin portal for the Umpqua River, developed in conjunction with the Partnership for Umpqua Rivers, as well as topic portals, such as the Land Use Explorer launched in October 2007 to inform Oregonians about land use history and current issues. We have learned that in the natural resources arena, user needs change with different geographies, yet the adaptations made at the local level are useful in expanding the content and services delivered at the statewide level. It is not enough to just provide access to data or documents. Users want access to a wide variety of integrated information resources—digital documents, interactive maps and reports, decision support, high resolution imagery, and access to available expertise. With Oregon Explorer becoming established as a tool for decision-makers and citizens, members of the team are exploring opportunities to use the digital library in classroom settings. Students in Oregon’s K-12 schools and OSU’s undergraduates are groups that we feel could benefit from the natural resources information and tools available. Proposals are being developed to extend Oregon Explorer’s capabilities for use in primary and secondary education. Oregon Explorer is being used in several university classrooms and will become more integrated as the content and tools grow and as strategies for further incorporation are developed. This evolving natural resources digital library will enable current and future decision-makers to learn about Oregon's environment and to actively engage in creating and sharing knowledge before decisions are made. Close

• 3. [Article] Virtual constellations for global terrestrial monitoring

  To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier ...

  Citation × Citation Citation Abstract Copy Title: Virtual constellations for global terrestrial monitoring Author: Wulder, Michael A., Hilker, Thomas, et al., White, Joanne C. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/remote-sensing-of-environment/ Title: Virtual constellations for global terrestrial monitoring Author: Wulder, Michael A., Hilker, Thomas, et al., White, Joanne C. To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/remote-sensing-of-environment/ Close

• 4. [Article] Site formation at Ayia Varvara Asprokremnos and predictive modeling for neolithic sites, Cyprus

  Site formation processes at Ayia Varvara Asprokremnos, a potentially early Neolithic archaeological site on Cyprus, are examined in order to build a larger predictive model. The study area immediate to ...

  Citation × Citation Citation Abstract Copy Title: Site formation at Ayia Varvara Asprokremnos and predictive modeling for neolithic sites, Cyprus Author: Barnett, Darby E. Site formation processes at Ayia Varvara Asprokremnos, a potentially early Neolithic archaeological site on Cyprus, are examined in order to build a larger predictive model. The study area immediate to the site encompasses 6.33 hectares and includes the site and alluvial terraces on both sides of the Gialias River. Fourteen soil map units, largely developed on Holocene colluvium, were identified. Stratigraphic profiles of the excavation trenches indicate a buried A horizon overlying what is thought to be a Pre-Pottery Neolithic B cultural component. Construction of a checkdam stopped site erosion and promoted the burial and preservation of a stratified archaeological sequence. The site is located next to a contact between the Lefkara Formation (limestone) and the Upper Pillow Basalts where vitreous chert commonly occurs on the island. Using the geoarchaeological data collected from Ayia Varvara Asprokremnos, satellite imagery and Geographic Information Systems data, a model was built the location of other further Neolithic Quarry sites on the island. The predictive model considers proximity to the contact, proximity to a 4th to 7th order stream, landscape position and relative level of ground disturbance. Over 38 areas were identified on 23 1:5,000 scale maps that could be explored by field survey and sub-surface testing. Title: Site formation at Ayia Varvara Asprokremnos and predictive modeling for neolithic sites, Cyprus Author: Barnett, Darby E. Site formation processes at Ayia Varvara Asprokremnos, a potentially early Neolithic archaeological site on Cyprus, are examined in order to build a larger predictive model. The study area immediate to the site encompasses 6.33 hectares and includes the site and alluvial terraces on both sides of the Gialias River. Fourteen soil map units, largely developed on Holocene colluvium, were identified. Stratigraphic profiles of the excavation trenches indicate a buried A horizon overlying what is thought to be a Pre-Pottery Neolithic B cultural component. Construction of a checkdam stopped site erosion and promoted the burial and preservation of a stratified archaeological sequence. The site is located next to a contact between the Lefkara Formation (limestone) and the Upper Pillow Basalts where vitreous chert commonly occurs on the island. Using the geoarchaeological data collected from Ayia Varvara Asprokremnos, satellite imagery and Geographic Information Systems data, a model was built the location of other further Neolithic Quarry sites on the island. The predictive model considers proximity to the contact, proximity to a 4th to 7th order stream, landscape position and relative level of ground disturbance. Over 38 areas were identified on 23 1:5,000 scale maps that could be explored by field survey and sub-surface testing. Close

• 5. [Article] Multi-spatial scale representation of landscape transitions using landsat thematic mapper data and scale-space filters

  This thesis considered current approaches to describing landscape pattern, identified scale issues associated with defining objects, and explored techniques to reliably group elements based on land cover ...

  Citation × Citation Citation Abstract Copy Title: Multi-spatial scale representation of landscape transitions using landsat thematic mapper data and scale-space filters Author: Lindeman, Dale R. This thesis considered current approaches to describing landscape pattern, identified scale issues associated with defining objects, and explored techniques to reliably group elements based on land cover as represented by satellite imagery. It was recognized that there is an important need to develop tools that can be applied using remotely sensed data to objectively identify landscape features at multiple spatial scales. The thesis focused on the potential for the use of specific digital image processing techniques to objectively generate multi-scale landscape heterogeneity models from Landsat Thematic Mapper (TM) satellite imagery. An approach using Difference-of-Gaussian (DoG) scale-space filters was used to process TM satellite data, transformed into the Normalized Difference Vegetation Index (NDVI), to define discrete landscape units across a range of scales. A series of Difference-of-Gaussian filters, with standard deviation (a) pairs of 0.9 and 1.1, 0.8 and 1.2, and 0.7 and 1.3, was applied to TM data. Results were compared against published ecoregion classifications and aerial orthophotography. These comparisons showed that the applied filters failed to accurately define landscape elements at a range of spatial scales. Filter size was found to be highly sensitive to the resolution of the image and object boundaries were maldelineated when complex boundary combinations were encountered. A modified approach using Gaussian/Difference-of-Gaussian or GaussianlLaplacian filter combinations and an alternate approach of watershed segmentation were recommended as potential techniques to test in further study. Future study should also include statistical approaches to aggregate zones and relate delineated zones to an actual, on-the-ground physiognomic classification scheme. Title: Multi-spatial scale representation of landscape transitions using landsat thematic mapper data and scale-space filters Author: Lindeman, Dale R. This thesis considered current approaches to describing landscape pattern, identified scale issues associated with defining objects, and explored techniques to reliably group elements based on land cover as represented by satellite imagery. It was recognized that there is an important need to develop tools that can be applied using remotely sensed data to objectively identify landscape features at multiple spatial scales. The thesis focused on the potential for the use of specific digital image processing techniques to objectively generate multi-scale landscape heterogeneity models from Landsat Thematic Mapper (TM) satellite imagery. An approach using Difference-of-Gaussian (DoG) scale-space filters was used to process TM satellite data, transformed into the Normalized Difference Vegetation Index (NDVI), to define discrete landscape units across a range of scales. A series of Difference-of-Gaussian filters, with standard deviation (a) pairs of 0.9 and 1.1, 0.8 and 1.2, and 0.7 and 1.3, was applied to TM data. Results were compared against published ecoregion classifications and aerial orthophotography. These comparisons showed that the applied filters failed to accurately define landscape elements at a range of spatial scales. Filter size was found to be highly sensitive to the resolution of the image and object boundaries were maldelineated when complex boundary combinations were encountered. A modified approach using Gaussian/Difference-of-Gaussian or GaussianlLaplacian filter combinations and an alternate approach of watershed segmentation were recommended as potential techniques to test in further study. Future study should also include statistical approaches to aggregate zones and relate delineated zones to an actual, on-the-ground physiognomic classification scheme. Close

• 6. [Article] Using advanced spreadsheet features for agricultural GIS applications

  A GIS analysis procedure was developed to explore relationships between imagery, yield data, soil information, and other assessments of a field or orchard. A set of conversion utilities, a spreadsheet, ...

  Citation × Citation Citation Abstract Copy Title: Using advanced spreadsheet features for agricultural GIS applications Author: Halbleib, Michael D. A GIS analysis procedure was developed to explore relationships between imagery, yield data, soil information, and other assessments of a field or orchard. A set of conversion utilities, a spreadsheet, and an inexpensive shape file viewer were used to manipulate, plot, and display data. Specific features described include procedures used to: 1) display automated yield monitoring and aerial imagery data as surface maps for visual analysis, 2) generate maps from gridded soil sampling schemes that display either the collected soil data values or management information derived from further manipulation of the sample values, 3) evaluate relationships among data layers such as yield monitor, imagery, and soil data, 4) conduct an upper boundary line evaluation of potential yield-limiting factors. The analysis process is demonstrated on wheat, meadowfoam, and hazelnut data, from crops grown in Oregon. Title: Using advanced spreadsheet features for agricultural GIS applications Author: Halbleib, Michael D. A GIS analysis procedure was developed to explore relationships between imagery, yield data, soil information, and other assessments of a field or orchard. A set of conversion utilities, a spreadsheet, and an inexpensive shape file viewer were used to manipulate, plot, and display data. Specific features described include procedures used to: 1) display automated yield monitoring and aerial imagery data as surface maps for visual analysis, 2) generate maps from gridded soil sampling schemes that display either the collected soil data values or management information derived from further manipulation of the sample values, 3) evaluate relationships among data layers such as yield monitor, imagery, and soil data, 4) conduct an upper boundary line evaluation of potential yield-limiting factors. The analysis process is demonstrated on wheat, meadowfoam, and hazelnut data, from crops grown in Oregon. Close

• 7. [Article] Distribution and prediction of Swiss needle cast of Douglas-fir in coastal Oregon

  This study was directed to improve our understanding of the ecology of Swiss needle cast (SNC) of Douglas-fir, a disease that produces extensive damage to forests and plantation in the coastal region of ...

  Citation × Citation Citation Abstract Copy Title: Distribution and prediction of Swiss needle cast of Douglas-fir in coastal Oregon Author: Rosso, Pablo H. This study was directed to improve our understanding of the ecology of Swiss needle cast (SNC) of Douglas-fir, a disease that produces extensive damage to forests and plantation in the coastal region of Oregon and Washington. A disease prediction model for the coastal area of Oregon was built by establishing the relationship between the distribution of disease severity and the environment. Currently available methods of determining the distribution of SNC were analyzed, and the possibility of mapping the disease using Landsat TM satellite images was explored. Two types of regression approaches were used to study the relationship between disease severity and climate, topography, soil and forest stand characteristics. Although both types provided useful information and insight, the multiple regression approach was chosen over the regression tree analysis to build the model, due to its capacity to produce a continuous prediction response. Fog occurrence, precipitation, temperature, elevation and slope aspect, were the variables that contributed to explain most of the disease severity variability. Findings agree with and formalize our previous understanding of the ecology of SNC: cool and wet conditions in summer appear to increase disease severity. When the model was applied to past climate conditions, retrospective predictions suggest that changes in climate in the last two decades could help to explain the observed recent regional increase in SNC disease severity. The resulting model was used to construct a disease prediction map. This map showed an accuracy equivalent to the currently available SNC aerial survey. The prediction model, however, is able to produce a continuous prediction surface, more suitable for testing and appropriate for assisting in disease management and research. A strong relationship between mature stand canopy defoliation and the Landsat TM indices greenness and brightness, indicates that it is possible to use satellite imagery to map SNC. In contrast, young stands showed high variability, most likely due to the relatively high proportion of exposed understory vegetation. The possibility of mapping stand defoliation is of great importance because this symptom can be directly linked to tree growth and forest productivity. Satellite imagery can be used in future and in retrospective disease mapping. Title: Distribution and prediction of Swiss needle cast of Douglas-fir in coastal Oregon Author: Rosso, Pablo H. This study was directed to improve our understanding of the ecology of Swiss needle cast (SNC) of Douglas-fir, a disease that produces extensive damage to forests and plantation in the coastal region of Oregon and Washington. A disease prediction model for the coastal area of Oregon was built by establishing the relationship between the distribution of disease severity and the environment. Currently available methods of determining the distribution of SNC were analyzed, and the possibility of mapping the disease using Landsat TM satellite images was explored. Two types of regression approaches were used to study the relationship between disease severity and climate, topography, soil and forest stand characteristics. Although both types provided useful information and insight, the multiple regression approach was chosen over the regression tree analysis to build the model, due to its capacity to produce a continuous prediction response. Fog occurrence, precipitation, temperature, elevation and slope aspect, were the variables that contributed to explain most of the disease severity variability. Findings agree with and formalize our previous understanding of the ecology of SNC: cool and wet conditions in summer appear to increase disease severity. When the model was applied to past climate conditions, retrospective predictions suggest that changes in climate in the last two decades could help to explain the observed recent regional increase in SNC disease severity. The resulting model was used to construct a disease prediction map. This map showed an accuracy equivalent to the currently available SNC aerial survey. The prediction model, however, is able to produce a continuous prediction surface, more suitable for testing and appropriate for assisting in disease management and research. A strong relationship between mature stand canopy defoliation and the Landsat TM indices greenness and brightness, indicates that it is possible to use satellite imagery to map SNC. In contrast, young stands showed high variability, most likely due to the relatively high proportion of exposed understory vegetation. The possibility of mapping stand defoliation is of great importance because this symptom can be directly linked to tree growth and forest productivity. Satellite imagery can be used in future and in retrospective disease mapping. Close

• 8. [Article] Women's voices : the emergence of female identity in Bleak House and Little Dorrit

  Dedicated to recording, portraying, and indicting the social inequities that he witnessed in nineteenth century Victorian England, one of Charles Dickens' many concerns was the roles assigned to women ...

  Citation × Citation Citation Abstract Copy Title: Women's voices : the emergence of female identity in Bleak House and Little Dorrit Author: Van Ras, Tamara L. Dedicated to recording, portraying, and indicting the social inequities that he witnessed in nineteenth century Victorian England, one of Charles Dickens' many concerns was the roles assigned to women both in the public and private spheres. The purpose of this thesis is to examine the narratives of Amy Dorrit and Miss Wade in Dickens' Little Dorrit and Esther Summerson in Bleak House to explore the ways in which each woman conforms to, subverts, or rejects her socially prescribed roles as she seeks to create her own identity while simultaneously complying to the duties and roles assigned her. This study focuses on the oral and written narratives of these women exploring their words, stories, and symbolic imagery. It also contextualizes their narratives while answering the critical question: How does individual identity emerge amid rigorously circumscribed social roles? Title: Women's voices : the emergence of female identity in Bleak House and Little Dorrit Author: Van Ras, Tamara L. Dedicated to recording, portraying, and indicting the social inequities that he witnessed in nineteenth century Victorian England, one of Charles Dickens' many concerns was the roles assigned to women both in the public and private spheres. The purpose of this thesis is to examine the narratives of Amy Dorrit and Miss Wade in Dickens' Little Dorrit and Esther Summerson in Bleak House to explore the ways in which each woman conforms to, subverts, or rejects her socially prescribed roles as she seeks to create her own identity while simultaneously complying to the duties and roles assigned her. This study focuses on the oral and written narratives of these women exploring their words, stories, and symbolic imagery. It also contextualizes their narratives while answering the critical question: How does individual identity emerge amid rigorously circumscribed social roles? Close

• 9. [Article] Improving Projections of Tidal Marsh Persistence under Climate Change with Remote Sensing and Site-Specific Data

  Tidal marshes are dynamic ecosystems that are threatened by climate change and sea-level rise. To characterize baseline condition and historic climate sensitivities, and improve projections into the future, ...

  Citation × Citation Citation Abstract Copy Title: Improving Projections of Tidal Marsh Persistence under Climate Change with Remote Sensing and Site-Specific Data Author: Buffington, Kevin John Tidal marshes are dynamic ecosystems that are threatened by climate change and sea-level rise. To characterize baseline condition and historic climate sensitivities, and improve projections into the future, new methods are required that integrate data from the field and remote sensing platforms. Marsh elevation response models can be calibrated with site-specific data to determine the vulnerability of a marsh to sea-level rise and help guide management decisions. Elevation models are sensitive to initial elevation, the rate of accretion, and aboveground biomass. The overarching goal of this dissertation was to develop techniques to improve these important model inputs and evaluate the range of spatial and temporal variation. Light detection and ranging (lidar) is an invaluable tool for collecting elevation data, however dense vegetation prevents the accurate measurement of the tidal marsh surface. In Chapter 2, I describe the development of a technique to calibrate lidar digital elevation models with survey elevation data using readily available multispectral aerial imagery from the National Agricultural Inventory Program (NAIP). Using survey elevation data across 17 Pacific Coast tidal marshes, I demonstrated the utility of the Lidar Elevation Adjustment with NDVI (LEAN) technique to account for the positive bias in lidar due to vegetation. LEAN reduced error from an average of 23.1 cm to 7.2 cm root mean squared error and removed the positive bias caused by vegetation. This increase in accuracy will facilitate more accurate assessments of current and future vulnerability to sea-level rise. The phenology of aboveground biomass in tidal marsh plants in relation to climate variation has not been explored in the Pacific Northwest (PNW). In Chapter 3 I explain how I leveraged the Landsat archive and cloud computing capabilities to assess how Tasseled Cap Greenness (TCG, a proxy for aboveground biomass) in three PNW tidal marshes has responded to recent variation in climate to characterize sensitivity to climate change. Through analysis of over 3700 Landsat images obtained from 1984-2015, I found increased annual precipitation resulted in a higher peak TCG, while warmer May temperatures resulted in an earlier day of peak TCG. These results also demonstrate how time-series analysis of remote sensing data can be used to examine the sensitivity of tidal marsh plants to climate variability and directional change. The range of variation in tidal marsh accretion rates has not been characterized across the PNW. For Chapter 4, I collected and analyzed twenty-two soil cores from eight estuaries to estimate historic accretion rates with radioisotope dating techniques and evaluated the amount and source of variation across estuaries. I found that tidal marshes across the PNW had accretion rates greater than the current rate of sea-level rise, ranging from 2.3 – 7.3 mm yr⁻¹. Using a watershed-scale analysis, I found that long-term average annual fluvial discharge was the top predictor of tidal marsh accretion rates. Additionally, I found that calibrating the Wetland Accretion Rate Model for Ecosystem Resilience (WARMER) with accretion rate data from nearby estuaries can result in uncertainties of up to 41% (50 cm) after 100 years. Finally, in Chapter 5, I demonstrate that a range of 62 cm of error is possible in WARMER models after a 100 year simulation when both uncorrected lidar and non-local accretion rates are used, fundamentally changing the interpretation of the results. Altogether, this dissertation illustrates the importance of collecting site-specific wetland vegetation and elevation data and demonstrates how lidar and multispectral remote sensing data can be leveraged to improve our understanding of how climate variability and change impacts coastal ecosystems. Title: Improving Projections of Tidal Marsh Persistence under Climate Change with Remote Sensing and Site-Specific Data Author: Buffington, Kevin John Tidal marshes are dynamic ecosystems that are threatened by climate change and sea-level rise. To characterize baseline condition and historic climate sensitivities, and improve projections into the future, new methods are required that integrate data from the field and remote sensing platforms. Marsh elevation response models can be calibrated with site-specific data to determine the vulnerability of a marsh to sea-level rise and help guide management decisions. Elevation models are sensitive to initial elevation, the rate of accretion, and aboveground biomass. The overarching goal of this dissertation was to develop techniques to improve these important model inputs and evaluate the range of spatial and temporal variation. Light detection and ranging (lidar) is an invaluable tool for collecting elevation data, however dense vegetation prevents the accurate measurement of the tidal marsh surface. In Chapter 2, I describe the development of a technique to calibrate lidar digital elevation models with survey elevation data using readily available multispectral aerial imagery from the National Agricultural Inventory Program (NAIP). Using survey elevation data across 17 Pacific Coast tidal marshes, I demonstrated the utility of the Lidar Elevation Adjustment with NDVI (LEAN) technique to account for the positive bias in lidar due to vegetation. LEAN reduced error from an average of 23.1 cm to 7.2 cm root mean squared error and removed the positive bias caused by vegetation. This increase in accuracy will facilitate more accurate assessments of current and future vulnerability to sea-level rise. The phenology of aboveground biomass in tidal marsh plants in relation to climate variation has not been explored in the Pacific Northwest (PNW). In Chapter 3 I explain how I leveraged the Landsat archive and cloud computing capabilities to assess how Tasseled Cap Greenness (TCG, a proxy for aboveground biomass) in three PNW tidal marshes has responded to recent variation in climate to characterize sensitivity to climate change. Through analysis of over 3700 Landsat images obtained from 1984-2015, I found increased annual precipitation resulted in a higher peak TCG, while warmer May temperatures resulted in an earlier day of peak TCG. These results also demonstrate how time-series analysis of remote sensing data can be used to examine the sensitivity of tidal marsh plants to climate variability and directional change. The range of variation in tidal marsh accretion rates has not been characterized across the PNW. For Chapter 4, I collected and analyzed twenty-two soil cores from eight estuaries to estimate historic accretion rates with radioisotope dating techniques and evaluated the amount and source of variation across estuaries. I found that tidal marshes across the PNW had accretion rates greater than the current rate of sea-level rise, ranging from 2.3 – 7.3 mm yr⁻¹. Using a watershed-scale analysis, I found that long-term average annual fluvial discharge was the top predictor of tidal marsh accretion rates. Additionally, I found that calibrating the Wetland Accretion Rate Model for Ecosystem Resilience (WARMER) with accretion rate data from nearby estuaries can result in uncertainties of up to 41% (50 cm) after 100 years. Finally, in Chapter 5, I demonstrate that a range of 62 cm of error is possible in WARMER models after a 100 year simulation when both uncorrected lidar and non-local accretion rates are used, fundamentally changing the interpretation of the results. Altogether, this dissertation illustrates the importance of collecting site-specific wetland vegetation and elevation data and demonstrates how lidar and multispectral remote sensing data can be leveraged to improve our understanding of how climate variability and change impacts coastal ecosystems. Close

• 10. [Article] Phase 1 scoping for Oregon orthoimagery portal application project completion report

  The Department of Administrative Services (DAS) and Oregon State University (OSU) are collaborating to develop an orthoimagery portal application to allow for the distribution of digital aerial imagery ...

  Citation × Citation Citation Abstract Copy Title: Phase 1 scoping for Oregon orthoimagery portal application project completion report Author: Institute for Natural Resources, Oregon State University Libraries The Department of Administrative Services (DAS) and Oregon State University (OSU) are collaborating to develop an orthoimagery portal application to allow for the distribution of digital aerial imagery for the State of Oregon. The near-term objective of this project is to develop an Imagery Portal that serves the 2005 half-meter orthoimagery that the State has obtained from the National Agriculture Imagery Program (NAIP) and other aerial imagery datasets. The targeted primary users for the imagery portal are Federal, State, and local agencies and institutions of higher education. Secondary users include the general public. Title: Phase 1 scoping for Oregon orthoimagery portal application project completion report Author: Institute for Natural Resources, Oregon State University Libraries The Department of Administrative Services (DAS) and Oregon State University (OSU) are collaborating to develop an orthoimagery portal application to allow for the distribution of digital aerial imagery for the State of Oregon. The near-term objective of this project is to develop an Imagery Portal that serves the 2005 half-meter orthoimagery that the State has obtained from the National Agriculture Imagery Program (NAIP) and other aerial imagery datasets. The targeted primary users for the imagery portal are Federal, State, and local agencies and institutions of higher education. Secondary users include the general public. Close