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 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 62 encompasses whole or portions of several states including Ohio, Pennsylvania and West Virginia. Questions about the NLCD mapping zone 62 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 62 are as follows:
SPRING-
Index 1 for Path 17/Row 33 on 03/06/00 = Scene_ID 7017033000006650
Index 1 for Path 17/Row 32 on 03/06/00 = Scene_ID 7017032000006650
Index 1 for Path 17/Row 33 on 03/06/00 = Scene_ID 7017033000006650
Index 2 for Path 18/Row 31 on 04/14/00 = Scene_ID 7018031000010550
Index 2 for Path 18/Row 32 on 04/14/00 = Scene_ID 7018032000010550
Index 3 for Path 18/Row 33 on 04/25/01 = Scene_ID 5018033000111510
Index 4 for Path 19/Row 31 on 03/04/00 = Scene_ID 7019031000006450
Index 4 for Path 19/Row 32 on 03/04/00 = Scene_ID 7019032000006450
Index 5 for Path 19/Row 33 on 04/05/00 = Scene_ID 7019033000009650
LEAF ON (Summer)-
Index 1 for Path 17/Row 31 on 05/17/00 = Scene_ID 5017031000013810
Index 2 for Path 17/Row 32 on 06/08/02 = Scene_ID 5017032000215910
Index 2 for Path 17/Row 33 on 06/08/02 = Scene_ID 5017033000215910
Index 3 for Path 18/Row 31 on 06/02/03 = Scene_ID 5018031000315310
Index 4 for Path 18/Row 32 on 06/23/02 = Scene_ID 7018032000217450
Index 5 for Path 18/Row 33 on 06/09/00 = Scene_ID 5018033000016110
Index 6 for Path 19/Row 31 on 07/16/02 = Scene_ID 7019031000219750
Index 7 for Path 19/Row 32 on 06/25/03 = Scene_ID 5019032000317610
Index 8 for Path 19/Row 33 on 06/19/01 = Scene_ID 5019033000117010
LEAF-OFF (Fall)-
Index 1 for Path 17/Row 31 on 10/30/99 = Scene_ID 7017031009930350
Index 1 for Path 17/Row 32 on 10/30/99 = Scene_ID 7017032009930350
Index 1 for Path 17/Row 33 on 10/30/99 = Scene_ID 7017033009930350
Index 2 for Path 18/Row 31 on 10/31/00 = Scene_ID 5018031000030510
Index 3 for Path 18/Row 32 on 11/03/01 = Scene_ID 5018032000130710
Index 4 for Path 18/Row 33 on 11/03/01 = Scene_ID 5018033000130710
Index 5 for Path 19/Row 31 on 10/30/00 = Scene_ID 7019031000030450
Index 5 for Path 19/Row 32 on 10/30/00 = Scene_ID 7019032000030450
Index 5 for Path 19/Row 33 on 10/30/00 = Scene_ID 7019033000030450
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)