1. A METHODOLOGY TO SELECT PHENOLOGICALLY SUITABLE LANDSAT SCENES FOR FOREST CHANGE DETECTIONIGARSS 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
3. 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) 3 Original Scene Oct 7 2006 Change detection False forest change by seasonality Sep 2 1999 Change detection Aug 28 2006 Aug 28 2006 Replacement Scene
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5. DATA MODIS data MOD13C1 : 5km NDVI dataset for the years 2000-2009 (Hueteet. 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 ) 5
6. METHOD DATA process 6 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)
7. METHOD Filtering 7 NDVIij value which is greater or smaller than NORMi+- σ(NDVIij) is replaced by NORMi NDVI Composites
9. METHOD Scene selection – web based app 9 User input SOP, EOP Search Conditions – Date/Month/Year, Quality, Cloud, Path/Row SOP, EOP for each WRS2 tiles Perform Search Data Base update tool Data Base Landsat 7 ETM+ (SLC-on)Landsat 7 ETM+ (SLC-off)Landsat 1-5 TMLandsat 4-5 MSSLandsat 1-3 MSS Metadata UNZIP Search results Shown as Table
23. P22R49 (Guatemala)Peak Season Range: 6/10/1999 – 11/17/1999 GLS image: 12/4/1999 Replacement image: 8/6/1999 GLS date is just out of date range. Replacement scene has clouds. This is an example of replacement scene not being a better choice.
24. Replacement Scenes 23 GLS 2000 284 Replacement / 424 scenes need to be replaced GLS 2005 252 Replacement /435 scenes need to be replaced
25. DISCUSSION 1. Snow effect 2. Scale issue 3. Selection of path/row with seasonality 4. Threshold selection 5. Validation against ground measurement 24
26. Acknowledgement This work has been carried out as part of the Global Forest Cover Change project, funded by the NASA MEaSUREs program (NNH06ZDA001N-MEASURES) 25
27. 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. 26
