Downloads & Free Reading Options - Results

Friday April 12, 2024 Session Two: Sea Level Rise Organizer: Kristen Orth-Gordinier, GHD A Scenario-Based GIS and Hydrodynamic Modeling Approach to Improve our Understanding of SLR and Incremental Adaptation Brett Vivyan, GHD 2024 HUMBOLDT BAY SYMPOSIUM April 11-13, 2024 at the Sequoia Conference Center, Eureka, CA Humboldt Bay in Transition: Navigating Change and Growth The Humboldt Bay Symposium is convened every two years to provide the public an opportunity to hear directly from experts about the latest developments on a variety of timely topics related to Humboldt Bay including: scientific research, ecological restoration, sustainable use of natural resources, recreational facilities, and maritime infrastructure and industry.

Friday April 12, 2024 Session Two: Sea Level Rise Organizer: Kristen Orth-Gordinier, GHD A Scenario-Based GIS and Hydrodynamic Modeling Approach to Improve our Understanding of SLR and Incremental Adaptation Brett Vivyan, GHD 2024 HUMBOLDT BAY SYMPOSIUM April 11-13, 2024 at the Sequoia Conference Center, Eureka, CA Humboldt Bay in Transition: Navigating Change and Growth The Humboldt Bay Symposium is convened every two years to provide the public an opportunity to hear directly from experts about the latest developments on a variety of timely topics related to Humboldt Bay including: scientific research, ecological restoration, sustainable use of natural resources, recreational facilities, and maritime infrastructure and industry.

Friday April 12, 2024 Session Two: Sea Level Rise Organizer: Kristen Orth-Gordinier, GHD A Scenario-Based GIS and Hydrodynamic Modeling Approach to Improve our Understanding of SLR and Incremental Adaptation Brett Vivyan, GHD 2024 HUMBOLDT BAY SYMPOSIUM April 11-13, 2024 at the Sequoia Conference Center, Eureka, CA Humboldt Bay in Transition: Navigating Change and Growth The Humboldt Bay Symposium is convened every two years to provide the public an opportunity to hear directly from experts about the latest developments on a variety of timely topics related to Humboldt Bay including: scientific research, ecological restoration, sustainable use of natural resources, recreational facilities, and maritime infrastructure and industry.

Friday April 12, 2024 Session Two: Sea Level Rise Organizer: Kristen Orth-Gordinier, GHD A Scenario-Based GIS and Hydrodynamic Modeling Approach to Improve our Understanding of SLR and Incremental Adaptation Brett Vivyan, GHD 2024 HUMBOLDT BAY SYMPOSIUM April 11-13, 2024 at the Sequoia Conference Center, Eureka, CA Humboldt Bay in Transition: Navigating Change and Growth The Humboldt Bay Symposium is convened every two years to provide the public an opportunity to hear directly from experts about the latest developments on a variety of timely topics related to Humboldt Bay including: scientific research, ecological restoration, sustainable use of natural resources, recreational facilities, and maritime infrastructure and industry.

Friday April 12, 2024 Session Two: Sea Level Rise Organizer: Kristen Orth-Gordinier, GHD A Scenario-Based GIS and Hydrodynamic Modeling Approach to Improve our Understanding of SLR and Incremental Adaptation Brett Vivyan, GHD 2024 HUMBOLDT BAY SYMPOSIUM April 11-13, 2024 at the Sequoia Conference Center, Eureka, CA Humboldt Bay in Transition: Navigating Change and Growth The Humboldt Bay Symposium is convened every two years to provide the public an opportunity to hear directly from experts about the latest developments on a variety of timely topics related to Humboldt Bay including: scientific research, ecological restoration, sustainable use of natural resources, recreational facilities, and maritime infrastructure and industry.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

This study integrates volunteered geographic information (VGI) into GIS and contextual analyses, and develops a framework to evaluate students' understanding of "locations and places in order to set national and international events within a geographical framework and to understand basic spatial relationships" as proposed by the Commission on Geographical Education (CGE). A web-based VGI was developed to allow students to share events taking place in the locations and places around the world. Three approaches are conducted to analyze all VGI records. First, GIS analysis shows the spatial pattern of VGI records and revealed students' mind map. Second, contextual analyses show students' preferences in certain geographic issues. Third, tag-cloud technology reflects students' spatial literacy based on the frequency of spatial-related terms. The results conclude that this study brings to the reader the exciting possibility of VGI and tag-cloud technology in allowing educators to evaluate students' spatial understanding and, ultimately, contributes to the future development of geography education.

Contextual information can have a substantial impact on the performance of visual tasks such as semantic segmentation, object detection, and geometric estimation. Data stored in Geographic Information Systems (GIS) offers a rich source of contextual information that has been largely untapped by computer vision. We propose to leverage such information for scene understanding by combining GIS resources with large sets of unorganized photographs using Structure from Motion (SfM) techniques. We present a pipeline to quickly generate strong 3D geometric priors from 2D GIS data using SfM models aligned with minimal user input. Given an image resectioned against this model, we generate robust predictions of depth, surface normals, and semantic labels. We show that the precision of the predicted geometry is substantially more accurate other single-image depth estimation methods. We then demonstrate the utility of these contextual constraints for re-scoring pedestrian detections, and use these GIS contextual features alongside object detection score maps to improve a CRF-based semantic segmentation framework, boosting accuracy over baseline models.

Contextual information can have a substantial impact on the performance of visual tasks such as semantic segmentation, object detection, and geometric estimation. Data stored in Geographic Information Systems (GIS) offers a rich source of contextual information that has been largely untapped by computer vision. We propose to leverage such information for scene understanding by combining GIS resources with large sets of unorganized photographs using Structure from Motion (SfM) techniques. We present a pipeline to quickly generate strong 3D geometric priors from 2D GIS data using SfM models aligned with minimal user input. Given an image resectioned against this model, we generate robust predictions of depth, surface normals, and semantic labels. We show that the precision of the predicted geometry is substantially more accurate other single-image depth estimation methods. We then demonstrate the utility of these contextual constraints for re-scoring pedestrian detections, and use these GIS contextual features alongside object detection score maps to improve a CRF-based semantic segmentation framework, boosting accuracy over baseline models.