Assessment of inundation extent and quality in the Atchafalaya Basin Floodway System (ABFS) from using Landsat Imagery
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1 Assessment of inundation extent and quality in the Atchafalaya Basin Floodway System (ABFS) from using Landsat Imagery Yvonne Allen - U.S. Geological Survey, Nat l. Wetlands Research Center Glenn Constant - U.S. Fish and Wildlife Service, Baton Rouge Field Station U.S. Department of the Interior U.S. Geological Survey
2 Outline Introduction to the Atchafalaya Basin Floodway System (ABFS) Importance of Defining Water Distribution in the ABFS Landsat TM Classification Land-water Turbid / Non-turbid water Other categories Applications of Classification Maps
3 Atchafalaya Basin Floodway System (ABFS) 1 Mar 2009 Flood Control Navigation Commercial Fishing Finfish and Shellfish Recreation Fishing, General Invaluable Habitat Timber Oil and Gas Regional Impact Nutrients, sediments, contaminants, carbon sequestration, nitrogen fixation
4 Some challenges to effective decision making in the ABFS: Isolated research studies Temporally, spatially, topically and institutionally Incomplete basic data layers Hydrology, elevation, land cover, land change, water quality Many stakeholders
5 Atchafalaya Basin Floodway System (ABFS) Total Assessment: Geospatial approach to integrating research and management information in the basin Initial Questions: Where does water flow? How long does it stay there? What is the quality of the water? What management projects can be done? Where? Do they work? Where are critical fisheries habitats? Where has the land changed? Where hasn t the land changed? How do processes in the ABFS relate to coastal processes?
6 Defines Quantity and Quality of Habitat for: - Fish - Shellfish - Mammals - Vegetation Distribution and Condition of WATER Influences Phenology of Resource Availability Affects Measurements of other Variables - e.g. Elevation, Soils Drives Geomorphology - Defining Past, Current and Future Configuration Defines Flooding Impact
7 Butte La Rose Gage (BLR)
8 Using Landsat to capture spatial data: Landsat 4, 5, and 7 data available from 1983 present 16 day repeat cycle 30 m pixel resolution 6 spectral bands in visible and infrared Large scene capture area (184x185 km) Entire ABFS available in one scene (Path 23; Row 39) 1 Mar 2009
9 Finding Water in the ABFS using Landsat Cloud-Free Leaf-Off (Dec-Mar) 28 Images Classify each Image for: Land Open Turbid Open Swamp Flooded Turbid Flood Swamp Aquatic Vegetation Multi-temporal Analysis Open Nonturbid Aquatic Vegetation Open Turbid Land Flooded Non-turbid Flooded Turbid
10 Land TM Classification Each 30m Pixel (6 TM bands, 3 TCap bands) TCap band 3 Water TCap band 2 AqVeg Turbid TM band 3 Non-Turbid Flooded TM band 5 Open TM band 5 Flooded Open Whole Image X 28 Images
11 Classification of Water in the AFBS Sum Land-Water Classifications At Many River Levels ( )
12 Evaluating Turbid Water Distribution Ground truth turbidity: 11 Feb 2002 Landsat (bands 4,3,2): 2 Feb 2002
13 Effectiveness of Turbid Water Classification
14 Classification of Turbid Water in the AFBS Sum Turbid Water Classifications At Many River Levels
15 Classification of Non-Turbid Water in the AFBS Sum Non-Turbid Water Classifications At Many River Levels
16 Classification of Aquatic Vegetation in the AFBS Sum Aquatic Vegetation Classifications At Many River Levels
17 Data Layers for Total Assessment CURRENT: Base TM Imagery (1983-present) Imagery classified into land and 5 water classes (1983- present) Spatial persistence maps of water categories Regression relationships for predictive mapping Water quality data (1998-present) Historical extent of Grand Lake Lidar QA
18 Some Applications for Water Distribution Maps Define the seasonal extent and quality of fish habitats. Forecast and hindcast hydrologic regime experienced by tree seedlings under various flooding scenarios. Use turbid water map to target sediment sampling for areas receiving more or less sediment. Identify effectiveness of sediment management projects. Use non-turbid water map to identify potential areas of mercury methylation. Target optimal data collection time and location. Interpretation of existing research/data Identify areas that will be seasonally suitable for Black Bears Track hydrology under certain conditions (post-hurricane).
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20 Landsat 5 Imagery Classified for Open Turbid Water Distribution 22 Sep 2008
21 Application: Identify Optimal Black Bear Denning Habitat Dry Habitat during Denning Season Dry Habitat during Denning Season that is Core
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