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 Earth Satellite Corporation 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 60 encompasses whole or portions of several states including New Jersey, Delaware, Maryland, Pennsylvania, Virginia, and the District of Columbia. Questions about the NLCD mapping zone 60 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 60 are as follows:
SPRING-
Index 1 for Path 14/Row 32 on 04/05/01 = Scene_ID 7014032000109550
Index 2 for Path 14/Row 33 on 04/05/01 = Scene_ID 7014033000109550
Index 3 for Path 14/Row 34 on 04/05/01 = Scene_ID 7014034000109550
Index 4 for Path 14/Row 35 on 04/05/01 = Scene_ID 7014035000109550
Index 5 for Path 15/Row 32 on 03/24/00 = Scene_ID 7015032000008450
Index 6 for Path 15/Row 33 on 03/24/00 = Scene_ID 7015033000008450
Index 7 for Path 15/Row 34 on 03/24/00 = Scene_ID 7015034000008450
Index 8 for Path 15/Row 35 on 03/24/00 = Scene_ID 7015035000008450
Index 9 for Path 15/Row 34 on 04/09/00 = Scene_ID 7015034000010050
LEAF ON (Summer)-
Index 1 for Path 14/Row 32 on 07/05/99 = Scene_ID 7014032009918650
Index 2 for Path 14/Row 33 on 07/05/99 = Scene_ID 7014033009918650
Index 3 for Path 14/Row 34 on 07/05/99 = Scene_ID 7014034009918650
Index 4 for Path 14/Row 35 on 07/05/99 = Scene_ID 7014035009918650
Index 5 for Path 15/Row 32 on 07/28/99 = Scene_ID 7015032009920950
Index 6 for Path 15/Row 33 on 07/28/99 = Scene_ID 7015033009920950
Index 7 for Path 15/Row 34 on 07/28/99 = Scene_ID 7015034009920950
Index 8 for Path 15/Row 35 on 07/28/99 = Scene_ID 7015035009920950
LEAF-OFF (Fall)-
Index 1 for Path 14/Row 32 on 09/23/99 = Scene_ID 7014032009926650
Index 2 for Path 14/Row 33 on 09/23/99 = Scene_ID 7014033009926650
Index 3 for Path 14/Row 34 on 09/23/99 = Scene_ID 7014034009926650
Index 4 for Path 14/Row 35 on 09/23/99 = Scene_ID 7014035009926650
Index 5 for Path 15/Row 32 on 10/02/00 = Scene_ID 7015032000027650
Index 6 for Path 15/Row 33 on 10/02/00 = Scene_ID 7015033000027650
Index 7 for Path 15/Row 34 on 09/30/99 = Scene_ID 7015034009927350
Index 8 for Path 15/Row 35 on 09/30/99 = Scene_ID 7015035009927350
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)