Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- CCRM GIS Data (157)
- Virginia (109)
- Data (103)
- GIS (88)
- Management (50)
-
- Shoreline Inventories (50)
- Shoreline Management (39)
- Shoreline management (39)
- GIS model (36)
- Tidal marsh inventory (36)
- Coastal Hydrodynamics and Sediment Dynamics (CHSD) (34)
- Acoustic backscatter (33)
- ADCP (32)
- Acoustic Doppler Current Profiler (32)
- CTD (32)
- Conductivity temperature and depth sensor (32)
- Sediment transport (32)
- Settling velocity (32)
- Suspended size distribution (32)
- York River, Virginia Data Archive (32)
- LISST (30)
- Total Suspended Solids (27)
- TSS (25)
- ADV (23)
- Acoustic Doppler Velocimeter (23)
- Flooding (14)
- Citizen Science (12)
- Sea Level Rise (12)
- Tides (12)
- Catch the King Tide 2017 Data (11)
- Publication Year
- File Type
Articles 181 - 210 of 227
Full-Text Articles in Physical Sciences and Mathematics
Gis Data: York County, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Carl Hershner, Kory Angstadt, David Stanhope, David Weiss, Karen Duhring, Christine Tombleson
Gis Data: York County, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Carl Hershner, Kory Angstadt, David Stanhope, David Weiss, Karen Duhring, Christine Tombleson
Data
The 2013 Tidal Marsh Inventory update for York County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: City Of Poquoson, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Carl H. Hershner, David Stanhope, David Weiss, Julie Bradshaw, Christine Tombleson
Gis Data: City Of Poquoson, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Carl H. Hershner, David Stanhope, David Weiss, Julie Bradshaw, Christine Tombleson
Data
The 2013 Tidal Marsh Inventory update for the City of Poquoson, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: Charles City County, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Kory Angstadt, Julie Bradshaw, David Weiss, Carl H. Hershner
Gis Data: Charles City County, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Kory Angstadt, Julie Bradshaw, David Weiss, Carl H. Hershner
Data
The 2013 Tidal Marsh Inventory update for Charles City County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: City Of Suffolk, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Kory Angstadt, David Weiss, Carl H. Hershner
Gis Data: City Of Suffolk, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Kory Angstadt, David Weiss, Carl H. Hershner
Data
The 2013 Tidal Marsh Inventory update for City of Suffolk, Virgnia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
2011 Chesapeake Bay Sav Coverage, Sav Data Administrator, Virginia Institute Of Marine Science
2011 Chesapeake Bay Sav Coverage, Sav Data Administrator, Virginia Institute Of Marine Science
Data
Abstract: The 2011 Chesapeake Bay SAV Coverage was mapped from 1:24,000 black and white aerial photography to assess water quality in the Bay. Each area of SAV was interpreted from the rectified photography and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS fetaure class using the quality control procedures documented below. The dataset contains all SAV areas that were identified from the areas flown. Some areas that are presumed to contain no SAV were not flown. Some small beds, particularly along narrow tributaries may not have been …
Collaborative Research: The Role Of Wind In Estuarine Dynamics, Upper Chesapeake Bay, Vims Instruments Deployed In Collaboration With Umces And Whoi; March-May, 2012 Deployment., Grace M. Cartwright, Kelsey A. Fall, Carl T. Friedrichs, William C. Boicourt, Malcolm E. Scully
Collaborative Research: The Role Of Wind In Estuarine Dynamics, Upper Chesapeake Bay, Vims Instruments Deployed In Collaboration With Umces And Whoi; March-May, 2012 Deployment., Grace M. Cartwright, Kelsey A. Fall, Carl T. Friedrichs, William C. Boicourt, Malcolm E. Scully
Data
While the project is a collaborative effort involving several researchers from the Virginia Institute of Marine Science (VIMS), the University of Maryland Center for Environmental Science (UMCES) and the Woods Hole Oceanographic Institution (WHOI), the Data archive here is primarily from VIMS owned instrumentation deployed as part of the project. A series of instruments were deployed in three transects in Upper Chesapeake Bay, South of the Choptank River from March to May 2012. This Dataset was collected with autonomously deployed Acoustic Doppler Current Profilers (ADCP), Acoustic Doppler Velicometers (ADV), and Conductivity and Temperature Sensors (CT).
Gis Data: Westmoreland County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Carl Hershner, Sharon A. Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Gis Data: Westmoreland County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Carl Hershner, Sharon A. Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The 2012 Tidal Marsh Inventory update for Westmoreland County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data
Gis Data: City Of Virginia Beach, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon A. Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt
Gis Data: City Of Virginia Beach, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon A. Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt
Data
The 2012 Tidal Marsh Inventory update for Virginia Beach, VA was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: Prince William County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon A. Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Gis Data: Prince William County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon A. Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Data
The 2012 Tidal Marsh Inventory update for Prince William County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: Mathews County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Gis Data: Mathews County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The 2012 Tidal Marsh Inventory update for Mathews County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: City Of Hampton, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Gis Data: City Of Hampton, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Data
The 2012 Tidal Marsh Inventory update for City of Hampton, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: City Of Alexandria Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Gis Data: City Of Alexandria Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Data
The 2012 Tidal Marsh Inventory update for City of Alexandria, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: City Of Fairfax County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Gis Data: City Of Fairfax County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Data
The 2012 Tidal Marsh Inventory update for Fairfax County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: Northampton County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt
Gis Data: Northampton County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt
Data
The data inventory developed for the Shoreline Inventory is based on a three tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. The three tiered shoreline assessment approach divides the shorezone into three regions:
1 ) the immediate riparian zone, evaluated for land use; 2 ) the bank, evaluated for height, stability, cover and natural protection; and 3 ) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. Hand-held GPS units are used to log features observed in the field.
Three …
Gis Data: City Of Hampton, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Gis Data: City Of Hampton, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Data
The data inventory developed for the Shoreline Inventory is based on a three‑tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. The three tiered shoreline assessment approach divides the shorezone into three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. Hand-held GPS units are used to log features observed in the field.
Three GIS coverages are developed …
Gis Data: Northampton County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt
Gis Data: Northampton County, Virginia Tidal Marsh Inventory, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt
Data
The 2012 Tidal Marsh Inventory update for Northampton County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: Prince William County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Gis Data: Prince William County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Data
The Shoreline Management Model is a GIS spatial model that determines appropriate shoreline best management practices using available spatial data and decision tree logic. Available shoreline conditions used in the model include the presence or absence of tidal marshes, beaches, and forested riparian buffers, bank vegetation cover, bank height, wave exposure (fetch), nearshore water depth, and proximity of coastal development to the shoreline. The model output for shoreline best management practices is displayed in the locality Comprehensive Map Viewer. One GIS shapefile is developed that describes two arcs or lines representing practices in the upland area and practices at the …
Gis Data: Fairfax County And The City Of Alexandria, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Gis Data: Fairfax County And The City Of Alexandria, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky
Data
The data inventory developed for the Shoreline Inventory is based on a three‑tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. The three tiered shoreline assessment approach divides the shorezone into three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. Hand-held GPS units are used to log features observed in the field.
Three GIS coverages are developed …
Gis Data: Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Gis Data: Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The data inventory developed for the Shoreline Situation Reports are based on a three-tiered shoreline assessment approach. This assessment characterizes conditions in the shorezone observed from a small boat moving along the shoreline. Handheld GPS units record data observations in the field. The three tiered shoreline assessment approach divides the shorezone into three regions:
-
the immediate riparian zone, evaluated for land use
-
the bank, evaluated for height, stability and natural protection
-
the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes.
Three GIS coverages are generated from the collection technique. The Mathews_lubc coverage are features related …
Gis Data: New Kent County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss, Karen Reay
Gis Data: New Kent County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss, Karen Reay
Data
The data inventory developed for the Shoreline Inventory is based on a three‑tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. The three tiered shoreline assessment approach divides the shorezone into three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. Hand-held GPS units are used to log features observed in the field.
Three GIS coverages are developed …
Gis Data: Lynnhaven River Virginia Beach, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, Karen Reay, David Weiss
Gis Data: Lynnhaven River Virginia Beach, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, Karen Reay, David Weiss
Data
The data contained within the Shoreline Inventory is based on a three-tiered shoreline assessment approach. The assessment characterizes conditions that are observed from a small boat navigating along the shoreline. Hand-held GPS units are used to log features. The three tiered shoreline assessment approach reports conditions in three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. Three GIS coverages are generated. The lynn_lubc coverage contains features related to the land use …
Gis Data: Westmoreland County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Carl Hershner, Sharon Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Gis Data: Westmoreland County, Virginia Shoreline Inventory Report, Marcia Berman, Harry Berquist, Carl Hershner, Sharon Killeen, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The data inventory developed for the Shoreline Situation Reports is based on a three-tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. Hand-held GPS units are used to log features observed. The three tiered shoreline assessment approach divides the shorezone into three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. Three GIS coverages are generated. The westm_lubc …
Chowan River Basin North Carolina Riparian Shoreline Assessment Report – Data, Marcia Berman, Harry Berquist, Carl Hershner, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, David Weiss
Chowan River Basin North Carolina Riparian Shoreline Assessment Report – Data, Marcia Berman, Harry Berquist, Carl Hershner, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, David Weiss
Data
No abstract provided.
Gis Data: Caroline County, Virginia Shoreline Situation Report, Marcia Berman, Harry Berquist, Carl Hershner, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, David Weiss
Gis Data: Caroline County, Virginia Shoreline Situation Report, Marcia Berman, Harry Berquist, Carl Hershner, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, David Weiss
Data
The data inventory developed for the Shoreline Situation Reports is based on a three-tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. Hand-held GPS units are used to log features observed. The three tiered shoreline assessment approach divides the shorezone into three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes. Three GIS coverages are generated. The car_lubc …
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Calvert County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karen Reay, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Calvert County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karen Reay, Karinna Nunez, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has generated Shoreline Situation Reports (SSRs) for coastal localities in the state of Maryland. This effort compliments a parallel effort in Virginia by the same group. SSRs were developed by VIMS in the 1970s for Virginia and have been the foundation for shoreline management planning in Tidewater Virginia ever since. CCRM has developed new protocols for collecting, disseminating, and reporting data relevant to shoreline management issues using state of the art mapping and remote sensing techniques. New SSRs are being generated on a county by …
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Anne Arundel County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Anne Arundel County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has generated Shoreline Situation Reports (SSRs) for coastal localities in the state of Maryland. This effort compliments a parallel effort in Virginia by the same group. SSRs were developed by VIMS in the 1970s for Virginia and have been the foundation for shoreline management planning in Tidewater Virginia ever since. CCRM has developed new protocols for collecting, disseminating, and reporting data relevant to shoreline management issues using state of the art mapping and remote sensing techniques. New SSRs are being generated on a county by …
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Harford County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Harford County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has generated Shoreline Situation Reports (SSRs) for coastal localities in the state of Maryland. This effort compliments a parallel effort in Virginia by the same group. SSRs were developed by VIMS in the 1970s for Virginia and have been the foundation for shoreline management planning in Tidewater Virginia ever since. CCRM has developed new protocols for collecting, disseminating, and reporting data relevant to shoreline management issues using state of the art mapping and remote sensing techniques. New SSRs are being generated on a county by …
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Cecil County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Cecil County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has generated Shoreline Situation Reports (SSRs) for coastal localities in the state of Maryland. This effort compliments a parallel effort in Virginia by the same group. SSRs were developed by VIMS in the 1970s for Virginia and have been the foundation for shoreline management planning in Tidewater Virginia ever since. CCRM has developed new protocols for collecting, disseminating, and reporting data relevant to shoreline management issues using state of the art mapping and remote sensing techniques. New SSRs are being generated on a county by …
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Kent County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Kent County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has generated Shoreline Situation Reports (SSRs) for coastal localities in the state of Maryland. This effort compliments a parallel effort in Virginia by the same group. SSRs were developed by VIMS in the 1970s for Virginia and have been the foundation for shoreline management planning in Tidewater Virginia ever since. CCRM has developed new protocols for collecting, disseminating, and reporting data relevant to shoreline management issues using state of the art mapping and remote sensing techniques. New SSRs are being generated on a county by …
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Queen Anne’S County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Development Of The Maryland Shoreline Inventory Methods And Guidelines For Queen Anne’S County - Gis Data, Marcia Berman, Harry Berquist, Sharon Killeen, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has generated Shoreline Situation Reports (SSRs) for coastal localities in the state of Maryland. This effort compliments a parallel effort in Virginia by the same group. SSRs were developed by VIMS in the 1970s for Virginia and have been the foundation for shoreline management planning in Tidewater Virginia ever since. CCRM has developed new protocols for collecting, disseminating, and reporting data relevant to shoreline management issues using state of the art mapping and remote sensing techniques. New SSRs are being generated on a county by …