3 datasets found
  1. a

    City of Cibolo - ETJ

    • hub.arcgis.com
    Updated Aug 24, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Cibolo, TX (2016). City of Cibolo - ETJ [Dataset]. https://hub.arcgis.com/maps/cibolotx::city-of-cibolo-etj
    Explore at:
    Dataset updated
    Aug 24, 2016
    Dataset authored and provided by
    City of Cibolo, TX
    Area covered
    Description

    These ETJ boundaries are updated an average of 1-3 business days after an ordinance has been passed by City Council that warrants an ETJ boundary change. This layer was originally created and maintained by a 3rd party consulting firm, but is currently maintained and updated by the City of Cibolo GIS team. Boundaries are drawn along parcel boundaries which are maintained by the Guadalupe County Appraisal District, or following metes and bounds written by a professional engineer. For reference only. Projected Coordinate System: NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet

  2. g

    Sea Level Affecting Marshes Model SLAMM dataset compiled for Gulf of Mexico...

    • gisdata.gcoos.org
    • hub.arcgis.com
    • +2more
    Updated Aug 5, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    jeradk18@tamu.edu_tamu (2019). Sea Level Affecting Marshes Model SLAMM dataset compiled for Gulf of Mexico Ocean Observation (GCOOS) [Dataset]. https://gisdata.gcoos.org/maps/c3ec85b570ff467dbd026e16b97922b4
    Explore at:
    Dataset updated
    Aug 5, 2019
    Dataset authored and provided by
    jeradk18@tamu.edu_tamu
    Area covered
    Description

    The Sea Level Affecting Marshes Model (SLAMM) simulates the dominant processes involved in wetland conversions and shoreline modifications during long-term sea level rise. Map distributions of wetlands are predicted under conditions of accelerated sea level rise.

    Tidal marshes are among the most susceptible ecosystems to climate change, especially accelerated sea-level rise (SLR). The Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) suggested that global sea level will increase by approximately 30 cm to 100 cm by 2100 (IPCC 2001). Rahmstorf (2007) suggests that this range may be too conservative and that the feasible range by 2100 is 50 to 140 cm. Rising sea levels may result in tidal marsh submergence (Moorhead and Brinson 1995) and habitat migration as salt marshes transgress landward and replace tidal freshwater and irregularly-flooded marsh (R. A. Park et al. 1991).

    The model used the 1/1.5/2 meter of sea-level rise by 2100 scenario and was produced for the Nature Conservancy by Warren Pinnacle Consulting, Inc. The purpose of this series of maps was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included actual landcover maps from either 2004 or 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100 for each project site.

    Impacts of Sea-level Rise, Habitat Conservation & Spatial Data Platform Project in Northern Gulf of Mexico

    Contact detail for the project: The Nature Conservancy

    Jorge Brenner, Ph.D. Associate Director of Marine Science The Nature Conservancy of Texas 205 N. Carrizo St. Corpus Christi, Texas 78401 Phone: (361) 882-3584; ext: 104 Email: jbrenner@tnc.org

  3. a

    Choctawhatchee Bay and St. Andrew Bay, FL

    • hub.arcgis.com
    Updated Aug 5, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    jeradk18@tamu.edu_tamu (2019). Choctawhatchee Bay and St. Andrew Bay, FL [Dataset]. https://hub.arcgis.com/datasets/c3ec85b570ff467dbd026e16b97922b4
    Explore at:
    Dataset updated
    Aug 5, 2019
    Dataset authored and provided by
    jeradk18@tamu.edu_tamu
    Area covered
    Description

    The Sea Level Affecting Marshes Model (SLAMM) simulates the dominant processes involved in wetland conversions and shoreline modifications during long-term sea level rise. Map distributions of wetlands are predicted under conditions of accelerated sea level rise.

    Tidal marshes are among the most susceptible ecosystems to climate change, especially accelerated sea-level rise (SLR). The Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) suggested that global sea level will increase by approximately 30 cm to 100 cm by 2100 (IPCC 2001). Rahmstorf (2007) suggests that this range may be too conservative and that the feasible range by 2100 is 50 to 140 cm. Rising sea levels may result in tidal marsh submergence (Moorhead and Brinson 1995) and habitat migration as salt marshes transgress landward and replace tidal freshwater and irregularly-flooded marsh (R. A. Park et al. 1991).

    The model used the 1/1.5/2 meter of sea-level rise by 2100 scenario and was produced for the Nature Conservancy by Warren Pinnacle Consulting, Inc. The purpose of this series of maps was to show how marshes are predicted to migrate inland due to increases in sea level by 2100. The SLAMM model produced landcover maps for 5 points in time for this specific sea level rise scenario, which included actual landcover maps from either 2004 or 2009 and predicted landcover maps for 2025, 2050, 2075 and 2100 for each project site.

    Impacts of Sea-level Rise, Habitat Conservation & Spatial Data Platform Project in Northern Gulf of Mexico

    Contact detail for the project: The Nature Conservancy

    Jorge Brenner, Ph.D. Associate Director of Marine Science The Nature Conservancy of Texas 205 N. Carrizo St. Corpus Christi, Texas 78401 Phone: (361) 882-3584; ext: 104 Email: jbrenner@tnc.org

  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Cibolo, TX (2016). City of Cibolo - ETJ [Dataset]. https://hub.arcgis.com/maps/cibolotx::city-of-cibolo-etj

City of Cibolo - ETJ

Explore at:
Dataset updated
Aug 24, 2016
Dataset authored and provided by
City of Cibolo, TX
Area covered
Description

These ETJ boundaries are updated an average of 1-3 business days after an ordinance has been passed by City Council that warrants an ETJ boundary change. This layer was originally created and maintained by a 3rd party consulting firm, but is currently maintained and updated by the City of Cibolo GIS team. Boundaries are drawn along parcel boundaries which are maintained by the Guadalupe County Appraisal District, or following metes and bounds written by a professional engineer. For reference only. Projected Coordinate System: NAD_1983_StatePlane_Texas_South_Central_FIPS_4204_Feet

Search
Clear search
Close search
Google apps
Main menu