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A METHODOLOGY TO SELECT PHENOLOGICALLY SUITABLE LANDSAT SCENES FOR FOREST CHANGE DETECTION IGARSS 2011 , Jul, 27, 2011. Do-Hyung Kim , Raghuram Narashiman, Joseph O. Sexton, Chengquan Huang, John R. Townshend Global Land Cover Facility, University of Maryland - College Park. - PowerPoint PPT Presentation
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A METHODOLOGY TO SELECT PHENOLOGICALLY SUITABLE LANDSAT SCENES FOR FOREST CHANGE DETECTION
IGARSS 2011 , Jul, 27, 2011
Do-Hyung Kim, Raghuram Narashiman, Joseph O. Sexton, Chengquan Huang, John R. Townshend
Global Land Cover Facility, University of Maryland - College Park
CONTENT• 1. Background• 2. DATA• 3. METHOD• 4. RESULT• 5. DISCUSSION• 6. REFERENCE
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Background• Influence of phenology on forest change detection
– example of path 116/ row 32 (Korea)
• Profile based techniques by time series data can resolve the issue of influence of phenology on change detection performance (Coppin et. al., 2004)
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Sep 2 1999
Oct 7 2006
Aug 28 2006
Change detection
Original Scene
Replacement Scene
Change detection
Aug 28 2006
False forest change by seasonality
Background• Global Land Survey
– Global, orthorectified, typically cloud-free Landsat imagery centered on the years 1975, 1990, 2000 and 2005 with a preference for leaf-on conditions(Gutman, 2008).
• LARGE AREA SCENE SELECTION INTERFACE (LASSI)– Global Land Survey 2005 is a dataset which is selected using such an
automated method, LARGE AREA SCENE SELECTION INTERFACE (LASSI) (Franks, 2002).
• An automated scene selection method which specialized for forest cover change detection is needed– Seasonality is not the only one parameter for LASSI.– GLS is not only for forest cover change analysis.
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DATA• MODIS data
– MOD13C1 : 5km NDVI dataset for the years 2000-2009 (Huete et. al., 2002)• Land cover data
– MOD12C1 : 5km Land Cover dataset (Friedl el. al., 2002) consists of the IGBP classification system from which the % forest, % evergreen, % deciduous and % crop layers were extracted.
• Landsat METADATA– Metadata of globally available Landsat scenes dating back from the 1970s to
present(http://landsat.usgs.gov/consumer.php )
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Spatial TemporalData Resolution Resolution Extent
MODIS NDVI(MOD13C1) 5 km 16 d 2000-2009
MODIS Land Cover(MOD12C1) 5 km 1 yr 2001
METHOD
• DATA process
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S = pixels > 40% deciduous & number of samples > 15 from MOD13C1
When I = composite (1<= i <=23) and j = year (2000 <= j <= 2009)
Median value of the above samples for each ith composite at jth year
NDVIij = Median(S)
10 year norm, NORM at each i composite
NORMi = Median (NDVIij)
METHOD
• Filtering
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NDVIij value which is greater or smaller than NORMi +- σ(NDVIij) is replaced by NORMi
NDVI
Composites
METHOD
• Peak growing season selection• SOP and EOP
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METHOD
• Scene selection – web based app
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User input
Perform Search Metadata
Search results
Search Conditions – Date/Month/Year, Quality, Cloud, Path/Row
UNZIP
Shown as Table
Landsat 7 ETM+ (SLC-on)Landsat 7 ETM+ (SLC-off)Landsat 1-5 TMLandsat 4-5 MSSLandsat 1-3 MSS
Data Base update
tool
Data Base
SOP, EOPSOP, EOP for each WRS2 tiles
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Deciduous forest Path/Rows
15467836
Number of Path/row
Legend
bad_2000
Deciduous forest
gls2005_coverage
Deciduous
GLS
RESULT
• SOP, EOP
• Temporal consistency
• Trend compared to latitude and biome
• GLS replacement scene
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SOP of 10 year norm
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EOP of 10 year norm
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SOP variation from 1999 to 2007
Variation (date)
15
EOP variation from 1999 to 2007
Variation (date)
Start of Peak by latitude and by BiomesTemperate Broad Leaf
Tropical Dry Broad Leaf
End of Peak by latitude
GLS 2000 scenes need to be replaced
15467836
Number of Scenes
424
15467836
Numbers of Scenes
435
GLS 2005 scenes need to be replaced
Replacement scene selection
• Browse through available scene list• Pick the best image based on visual observation
• Criteria: Minimal cloud cover and within phenology bounds
P17 R28: Canada Peak Season Range: 5/25/2002 – 9/30/2002
GLS2000 date: 5/15/2002 Replacement scene date: 8/24/2001
GLS Replacement scene
P22R49 (Guatemala)Peak Season Range: 6/10/1999 – 11/17/1999
GLS date is just out of date range. Replacement scene has clouds. This is an example of replacement scene not being a better choice.
GLS image: 12/4/1999 Replacement image: 8/6/1999
Replacement Scenes
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GLS 2000284 Replacement / 424 scenes need to be replaced
GLS 2005252 Replacement /435 scenes need to be replaced
DISCUSSION• 1. Snow effect• 2. Scale issue• 3. Selection of path/row with seasonality• 4. Threshold selection• 5. Validation against ground measurement
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Acknowledgement
• This work has been carried out as part of the Global Forest Cover Change project, funded by the NASA MEaSUREs
program (NNH06ZDA001N-MEASURES)
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Reference• A. Huete, et al., “Overview of the radiometric and biophysical performance of the MODIS vegetation
indices,” Remote Sensing of Environment, vol. 83, no.1-2, pp. 195-213, Nov., 2002.
• Friedl, M.A., et al., “The MODIS land cover product: multi-attribute mapping of global vegetation and land cover properties from time series MODIS data,” Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), vol. 4, pp. 3199-3201, 2002
• Coppin et. al., "Digital change detection methods in ecosystem monitoring: a review, “ IN T. J. REMOTE SENSING, 10 MAY, 2004, VOL. 25, NO. 9, 1565–1596
• U.S. Geological Survey (2010, Dec. 30), Landsat Bulk Metadata Service. Available: http://landsat.usgs.gov/consumer.php
• Gutman, G., Byrnes, R., Masek, J., Covington, S., Justice, C., Franks, S., and R. Headley, Towards monitoring land cover and land-use changes at a global scale: The Global Land Survey 2005, Photogrammetric Engineering and Remote Sensing, 74, 6-10, 2008.
• Franks, S., Masek, J.G., Headley, R.M.K., Gasch, J., and Arvidson, T., Large Area Scene Selection Interface (LASSI). Methodology for selecting Landsat imagery for the Global Land Survey 2005, in press Photogrammetric Engineering and Remote Sensing.
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