Homer, C., C. Huang, L. Yang, B. Wylie and M. Coan, 2004. Development of a 2001 national land cover database for the United States. Photogrammetric Engineering and Remote Sensing.
The USGS acknowledges the support of U.S. Forest Service Northeastern Research Station and Sanborn Map Company in development of data in this zone.
The NLCD 2001 was created by partitioning the U.S. into mapping zones. A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge matching features and the size requirement of Landsat mosaics. Mapping zone 63 encompasses whole or portions of several states including New York and Pennsylvania. Questions about the NLCD mapping zone 63 can be directed to the NLCD 2001 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.
By combining the training data with Landsat spectral data and other ancillary data, percent imperviousness prediction models were developed using a regression tree algorithm (named "Cubist"). All data layers used as input for running the Cubist in order to establish the prediction model for imperviousness are listed in the "Supplemental Information" section. Three ancillary data sets were used for urban/suburban delineation masking, which is essential to confine the imperviousness mapping within the developed areas.
After the best combination of possible input data layers had been determined and the final percent impervious layer produced, the urban mask created was used to eliminate those pixels from the final percent impervious file that fall outside identified impervious surface areas. Thus, the impervious pixels identified within the mask were retained, while all non-impervious surface pixels were removed from the final product. This corrected for any small areas of pixels that may have been included as part of the impervious surface layer because their spectral signature was not covered in the Cubist modeling process. Finally, visual inspection of imperviousness layer was made with limited manual editing to eliminate non-urban areas based on area of interest delineated by the mapping team.
Acquisition dates of Landsat ETM+ (TM) scenes used for land cover classification in zone 63 are as follows:
SPRING-
Index 1 for Path 15/Row 30 on 04/28/01 = Scene_ID 7015030000111850
Index 1 for Path 15/Row 31 on 04/28/01 = Scene_ID 7015031000111850
Index 2 for Path 15/Row 32 on 03/24/00 = Scene_ID 7015032000008450
Index 3 for Path 16/Row 29 on 05/05/01 = Scene_ID 7016029000112550
Index 3 for Path 16/Row 30 on 05/05/01 = Scene_ID 7016030000112550
Index 4 for Path 16/Row 31 on 04/19/01 = Scene_ID 7016031000110950
Index 5 for Path 17/Row 30 on 04/26/01 = Scene_ID 7017030000111650
Index 6 for Path 17/Row 31 on 03/06/00 = Scene_ID 7017031000006650
Index 7 for Path 18/Row 31 on 04/14/00 = Scene_ID 7018031000010550
LEAF ON (Summer)-
Index 1 for Path 15/Row 30 on 07/28/99 = Scene_ID 7015030009920950
Index 1 for Path 15/Row 31 on 07/28/99 = Scene_ID 7015031009920950
Index 2 for Path 15/Row 32 on 08/29/99 = Scene_ID 7015032009924150
Index 3 for Path 16/Row 29 on 06/03/00 = Scene_ID 7016029000015550
Index 4 for Path 16/Row 30 on 07/03/99 = Scene_ID 7016030009918450
Index 5 for Path 16/Row 31 on 07/05/00 = Scene_ID 7016031000018750
Index 6 for Path 17/Row 30 on 06/13/01 = Scene_ID 7017030000116450
Index 7 for Path 17/Row 31 on 06/10/00 = Scene_ID 7017031000016250
Index 8 for Path 18/Row 31 on 08/07/01 = Scene_ID 7018031000121950
LEAF-OFF (Fall)-
Index 1 for Path 15/Row 30 on 09/03/01 = Scene_ID 7015030000124650
Index 2 for Path 15/Row 31 on 10/05/01 = Scene_ID 7015031000127850
Index 3 for Path 15/Row 32 on 11/17/99 = Scene_ID 7015032009932150
Index 4 for Path 16/Row 29 on 10/07/99 = Scene_ID 7016029009928050
Index 5 for Path 16/Row 30 on 09/07/00 = Scene_ID 7016030000025150
Index 5 for Path 16/Row 31 on 09/07/00 = Scene_ID 7016031000025150
Index 6 for Path 17/Row 30 on 10/03/01 = Scene_ID 7017030000127650
Index 7 for Path 17/Row 31 on 09/12/99 = Scene_ID 7017031009925550
Index 8 for Path 18/Row 31 on 09/05/00 = Scene_ID 7018031000024950
Landsat data and ancillary data used for the imperviousness prediction -
Data Type of DEM composed of 1 band and a Continuous Variable Type.
Data Type of Slope composed of 1 band and a Continuous Variable Type.
Data Type of Aspect composed of 1 band of Categorical Variable Type.
Data type of Position Index composed of 1 band of Continuous Variable Type.
Ancillary data used for urban area masking include:
1. NOAA Defense Meteorological Satellite Program 1 km city light data (1 band)
2. MRLC 1992 classification (1 band)
3. TIGER 2000 roads (1 band)