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The Coastal Change Analysis Program: Mapping Change and Monitoring Change Trends in the Coastal Zone

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Title: The Coastal Change Analysis Program: Mapping Change and Monitoring Change Trends in the Coastal Zone


1
The Coastal Change Analysis ProgramMapping
Change and Monitoring Change Trends in the
Coastal Zone
Shan Burkhalter Nate Herold and Chris
Robinson NOAA Coastal Services Center
18 May, 2005 MultiTemp 05 Biloxi Mississippi
2
Outline
  • Coastal Change Analysis Program (C-CAP)
  • Background
  • Current Mapping
  • Application Examples
  • Trend Analysis Demonstration Project
  • Future plans

3
Background
Coastal Change Analysis Program (C-CAP)
  • Conceived in the late 1980s
  • Implemented as a NOAA program in the mid-1990s
    via grants and cooperative agreements
  • Modifying the C-CAP approach
  • Utilize common, automated procedures (USGS/MRLC)

Objective To improve scientific understanding
of the linkages between coastal wetland habitats,
adjacent uplands, and living marine resources
4
Early C-CAP Projects
5
Coastal Change Analysis Program
Spatial Data Development
  • Current Approach
  • Landsat-based (regional scale) - land cover and
    change data
  • USGS collaboration The National Map national
    land cover database
  • NOAA/USGS joint specifications
  • Coordination with state programs
  • Coordination with Multi-Resolution Land
    Characteristics (MRLC) consortium
  • Outcomes
  • Nationally consistent baseline of coastal land
    cover and change data
  • Comprehensive coastal zone coverage
  • Field validated, including Federal Geographic
    Data Committee (FGDC) metadata
  • Future Plans Incorporation of higher resolution
    data

6
Coastal Change Analysis Program
Spatial Data Development
How are the data being used?
  • Framework for evaluating links between land and
    water quality
  • Impervious estimations (NEMO network)
  • Regional planning and assessments
  • Selecting conservation areas (NJ)
  • Managing habitat and development (Casco Bay
    Watershed, ME)
  • Nonpoint source pollution assessment (Carmans
    River, NY)
  • Habitat fragmentation analysis (Long Island, NY)

7
Land Cover Trend Analysis Project Objectives
  • Add a recent era of imagery to the existing C-CAP
    land cover change product
  • Identify, acquire, and process early era imagery
  • Document the methodology to generate a multi-era
    land cover database
  • Produce an example database of multi-era land
    cover and change
  • Use the resulting change database to examine land
    cover change trends

8
Data SourcesCoastal Change Analysis Program
(C-CAP)
Standard C-CAP Product
Early era
  • Landsat TM/ETM derived
  • 30-meter resolution
  • Coastal land cover inventory
  • 2 eras of land cover
  • Database of land cover change

Late era
Detected Change
Change Database
9
Data SourcesNorth American Landscape
Characterization (NALC)
  • Cooperative effort of
  • U.S. Environmental Protection Agency (EPA)
  • U.S. Geological Survey (USGS)
  • National Aeronautics and Space Administration
    (NASA)
  • NALC provides co-registered sets of remotely
    sensed data from the 1970s, 1980s, and 1990s for
    the purpose of studying environmental change.

10
Data SourcesNorth American Landscape
Characterization (NALC)
Standard NALC Product
1970s MSS
  • Landsat MSS
  • Coterminous U.S. coverage
  • Georeferenced
  • Terrain corrected
  • Resampled to 60-meter pixel

1980s MSS, NDVI
1990s MSS, NDVI
DEM
11
Data SourcesProject Data Inventory
Trend Analysis Project Data
MSS 1972
MSS 1986
TM 1990
TM 1995
ETM 2000
12
MSS 1972
13
MSS 1986
14
TM 1990
15
TM 1995
16
ETM 2000
17
Study Area
18
Land Cover Classification Scheme
Classes used for Trend Analysis Pilot Project
  • 15 Categories
  • Forest Land
  • Deciduous forest
  • Evergreen forest
  • Mixed forest
  • Emergent Marsh Wetland
  • Palustrine emergent
  • Estuarine emergent

19
Project Methodology
  • Era to era image differencing
  • NDVI subtraction
  • Band 4 subtraction
  • Use the 1990 and 1995 Land Cover to fill in no
    change pixels
  • 1990-1986
  • 1986-1972
  • 1995-2000
  • Use additional eras of imagery to classify the
    areas identified as change
  • Apply the change land cover areas to the
    unchanged base to get full land cover for the
    next year
  • Compare the two eras to derive a matrix of change
  • Use all dates to create multi era change database

20
Land Cover Update Overview
21
Image Difference
1986-1990
Histogram of Difference Pixels
-238 0
211
22
Interpret Likely Change
1986 Change Mask
Histogram of Difference Pixels
-238 0
211
23
Classify Change Areas
1986 Classified MSS
24
Insert Classified Change into 1990 Map
1990 Existing Land Cover
25
Produce Land Cover for 1986
1986 Land Cover
26
Land Cover Change Results1986 to 1990 Matrix
Change
55
27
Land Cover Change Results
1986 - 1990
54
28
Land Cover Results
1972
29
Land Cover Results
1986
30
Land Cover Results
1990
31
Land Cover Results
1995
32
Land Cover Results
33
Land Cover Change Results
1972 - 1986
52
34
Land Cover Change Results
1990 - 2000
56
35
Land Cover Change Results1972 to 2000 Tabulation
36
Land Cover Change Results1972 to 2000
Logarithmic Graph
Acreage
37
Example Subset
38
Example Subset
Acreage
31
39
Example Subset1972

Acreage
1972
40
Example Subset1986

Acreage
1986
33
41
Example Subset1990
Acreage
1990
34
42
Example Subset1995
Acreage
1995
35
43
Example Subset2000
Acreage
2000
36
44
Land Cover Change Results1972 to 2000 Graph
Acreage
Acreage
45
1972 to 2000 Graph Linear Trend Line
Acreage
46
1972 to 2000 Graph Linear Trend Line - Forecast
Forward 10 years
Acreage
47
1972 to 2000 Graph Linear Trend Line - Forecast
Forward 10 years
R2 0.8347
R2 0.9231
R2 0.2276
R2 0.7154
R2 0.3711
Acreage
R2 0.2166
R2 0.9391
R2 0.7766
R2 0.4349
R2 0.7774
R2 0.0516
48
1972 to 2000 Graph Linear Trend Line - Forecast
Forward 10 years
R2 0.8347
R2 0.9231
R2 0.3711
Acreage
R2 0.2166
49
1972 to 2000 Graph Linear Trend Line - Forecast
Forward 10 years
Acreage
50
Coastal Change Analysis Program
51
Project Summary
  • Added a recent era of imagery to the existing
    C-CAP land cover change product
  • Added retrospective imagery from the NALC Archive
  • Detected differences among the input imagery
  • Classified areas of change
  • Produce an example database of multi-era land
    cover and change
  • Used the resulting change database to examine
    land cover change trends and forecasts

52
Coastal Change Analysis ProgramTrend Analysis
For More Information
Shan.Burkhalter_at_noaa.gov
www.csc.noaa.gov/landcover
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