Tnris 2012
- 1. Mapping the Vegetation of Texas
- 2. Background • TPWD wants better land cover for Texas – More land cover classes – Better spatial resolution – Better accuracy (overall 85%) – Better ecological interpretation • Partners Required! – MoRAP, University of Missouri – TNC, Texas – NatureServe, Southeast Region – TNRIS – NRCS, TXFS, USFWS, others
- 3. Phase 6 Ecological September Mapping 2013 Phase 1 Systems of Available Now Texas Phase LPC Phase 2 Available Now Available Now Phase 5 Phase 3 September 2012 Available Now Phase 4 Available Now
- 4. 3-date TM Training data from Land use data (NRCS Satellite Imagery air photos plus Common Land Units) (30m resolution) ground data Classify Land Cover (e.g. grassland) Draft Mapping Targets Assign Information using (NatureServe Ecological soils, ecoregions, geology, ecological Systems) site type, hydrology, slop, aspect, & elevation (“modeling”) Create Map with Named Mapping Units (e.g. Southeastern Great Plains Tallgrass Prairie) Provide Interpretation of Mapping Units (booklet, summary statistics by ecoregion, etc.) Design and Execute Presentation
- 5. Ecological Systems Ecological System East-Central Texas Plains Post Oak Savanna and Woodland Mapping Targets/Subsystems Post Oak Savanna: Post Oak Motte and Woodland Post Oak Savanna: Post Oak / Redcedar Motte and Woodland Post Oak Savanna: Post Oak / Yaupon Motte and Woodland Post Oak Savanna: Oak / Hardwood Slope Forest Post Oak Savanna: Live Oak Motte and Woodland Post Oak Savanna: Savanna Grassland Post Oak Savanna: Oak / Redcedar Slope Forest Post Oak Savanna: Redcedar Slope Forest
- 6. 3-date TM Training data from Land use data (NRCS Satellite Imagery air photos plus Common Land Units) (30m resolution) ground data Classify Land Cover (e.g. evergreen forest) Draft Mapping Targets Assign Information using (NatureServe Ecological soils, ecoregions, geology, ecological Systems) site type, hydrology, slope,aspect, & elevation (“modeling”) Create Map with Named Mapping Units (e.g. Bastrop ) Provide Interpretation of Mapping Units (booklet, summary statistics by ecoregion, etc.) Design and Execute Presentation
- 7. Field Data Collection • Roadside survey • GPS Location (Lat/Long) • Attributes – Land Cover • i.e.: grassland, shrubland – Percent cover • Woody components – CEG , BLEG – tree, shrub • Herbaceous – Dominant Species • “top three” species – trees, shrubs, herbaceous – Ecological Systems/Subsystems
- 12. 3-date TM Land use data (NRCS Training data from Satellite Imagery Common Land Units) air photos plus (30m resolution) ground data Classify Land Cover (e.g. evergreen forest) Draft Mapping Targets Assign Information using (NatureServe Ecological soils, ecoregions, geology, ecological Systems) site type, hydrology,slope, aspect,& elevation (“modeling”) Create Map with Named Mapping Units (e.g. Bastrop ) Provide Interpretation of Mapping Units (booklet, summary statistics by ecoregion, etc.) Design and Execute Presentation
- 13. Initial Classification of Pixels – Create a land cover raster by coding each pixel with a value that represents the land cover type over the majority of that cell’s area – When finished, every cell will have a coded value – Average TM scene is about 34.9 x106 pixels W W W G G water W W W G G W W W G G grass G G G G G F G G U U forest urban F F G U U
- 14. Land Cover Class Barren CD Forest CEG Forest Grass Farm Swamp Water Barren/Impervious CD Mixed Forest Crop Grassland Urban High State Park BLEG Forest CD Shrub EG Shrub Marsh Urban Low
- 15. 3-date TM Training data from Land use data (NRCS Satellite Imagery air photos plus Common Land Units) (30m resolution) ground data Classify Land Cover (e.g. cold deciduous forest) Draft Mapping Targets Assign Information using (NatureServe Ecological soils, ecoregions, geology, ecological Systems) site type, hydrology,slope,aspect,& elevation (“modeling”) Create Map with Named Mapping Units (e.g. Edwards Plateau: Deciduous Oak Slope Forest) Provide Interpretation of Mapping Units (booklet, summary statistics by ecoregion, etc.) Design and Execute Presentation
- 16. Modeling Synopsis • Examined SSURGO, GAT, Ecological Site Types (ESTs) • Modeled: – Historic vegetation to ESTs and to soils (Ecoclass) – Interpretation of current land cover to ESTs and soils (e.g. evergreen forest on site type XX is ZZ mapping system) • Rules applied: (Decision Tree) – Slope,aspect,elevation,landscape postion, hydrology,& EPA ecoregion
- 17. Remote Sensing & Training Data Classified as Cold Deciduous Forest
- 18. SSURGO Soils – EcoClass - PE36-52 Loamy Sand ESD – Historic - Post Oak Woodland SSURGO Soils - EcoClass – PE40-54 Blackland ESD – Historic – Tallgrass Prairie
- 19. Mapping Subsystem Crosstimbers: Post Oak Woodland & Forest Mapping Subsystem Native Invasive Deciduous Woodland
- 20. 1984 Vegetation Types of Texas Bluestem Grassland Post Oak Woods, Forest, and Grassland Mosaics Lake Granbury Silver Bluestem-Texas Wintergrass Grassland Oak-Mesquite-Juniper Parks/Woods
- 21. Ecological Systems Barren / Non-urban Edwards Plateau Limestone Evergreen Slope Shrubland Southeastern Great Plains Floodplain Herbaceous Vegetation Barren / Urban Edwards Plateau Limestone Live Oak Motte and Forest Southeastern Great Plains Floodplain Juniper Forest and Woodland Blackland Prairie Disturbance or Tame Grassland Edwards Plateau Limestone Savanna Grassland Southeastern Great Plains Floodplain Live Oak Forest and Woodland Crosstimbers Deciduous Slope Forest Edwards Plateau Limestone Shin Oak Shrubland and Shrub Motte Southeastern Great Plains Floodplain Mixed Deciduous Forest and Woodland Crosstimbers Deciduous-Juniper Slope Forest Edwards Plateau Limestone Shin Oak Slope Shrubland Southeastern Great Plains Riparian Deciduous Forest and Woodland Crosstimbers Live Oak Forest and Woodland Edwards Plateau Live Oak Dry-Mesic Slope Forest and Woodland Southeastern Great Plains Riparian Deciduous Shrubland Crosstimbers Post Oak Forest and Woodland Edwards Plateau Oak-Ashe Juniper Dry-Mesic Slope Forest and Woodland Southeastern Great Plains Riparian Evergreen Shrubland Crosstimbers Post Oak-Juniper Forest and Woodland Grass Farm Southeastern Great Plains Riparian Herbaceous Vegetation Crosstimbers Sandyland Oak Woodland Marsh Southeastern Great Plains Riparian Juniper Forest and Woodland Crosstimbers Savanna Grassland Native Invasive: Deciduous Woodland Southeastern Great Plains Riparian Live Oak Forest and Woodland East-Central Texas Plains Post Oak Motte and Woodland Native Invasive: Juniper Shrubland Southeastern Great Plains Riparian Mixed Deciduous Forest and Woodland Edwards Plateau Ashe Juniper Dry-Mesic Slope Forest and Woodland Native Invasive: Juniper Woodland Southeastern Great Plains Tallgrass Prairie Edwards Plateau Deciduous Dry-Mesic Slope Forest and Woodland Native Invasive: Mesquite Shrubland Southeastern Great Plains Wooded Cliff/Bluff Edwards Plateau Floodplain Deciduous Forest and Woodland Open Water Swamp Edwards Plateau Limestone Ashe Juniper Motte and Forest Rowcrops Urban High Intensity Edwards Plateau Limestone Deciduous Motte and Woodland Southeastern Great Plains Floodplain Deciduous Forest and Woodland Urban Low Intensity Edwards Plateau Limestone Deciduous-Evergreen Motte and Woodland Southeastern Great Plains Floodplain Deciduous Shrubland Edwards Plateau Limestone Evergreen Shrubland and Shrub Motte Southeastern Great Plains Floodplain Evergreen Shrubland
- 22. Products/Enduring Value • Potential natural vegetation • Existing vegetation using an improved classification • Interpretive Booklet – Topo-sequences / landscape profiles of potential and existing vegetation – Interpretation of the current land cover (e.g. dynamics, management) – Photos • Ground truth dataset (around 10,000 points) • User will build their own added value: – Context (local, regional, statewide) – Management options – Conservation opportunity areas – Ecological significance and risk (riverine/aquatics as well) – Species habitat modeling – Development of educational and interpretive materials – Change detection
- 24. Products/Enduring Value • Potential natural vegetation • Existing vegetation using an improved classification • Interpretive Booklet – Topo-sequences / landscape profiles of potential and existing vegetation – Interpretation of the current land cover (e.g. dynamics, management) – Photos • Ground truth dataset (around 10,000 points) • User will build their own added value: – Context (local, regional, statewide) – Management options – Conservation opportunity areas – Ecological significance and risk (riverine/aquatics as well) – Species habitat modeling – Development of educational and interpretive materials – Change detection
- 25. Google Earth
- 26. Google Earth
- 27. Web Application
- 28. Web Application
- 29. Products/Enduring Value • Potential natural vegetation • Existing vegetation using an improved classification • Interpretive Booklet – Topo-sequences / landscape profiles of potential and existing vegetation – Interpretation of the current land cover (e.g. dynamics, management) – Photos • Ground truth dataset (around 10,000 points) • User will build their own added value: – Context (local, regional, statewide) – Management options – Conservation opportunity areas – Ecological significance and risk (riverine/aquatics as well) – Species habitat modeling – Development of educational and interpretive materials – Change detection
- 30. Questions?