Database dataset from updating
NLCD 2006 is based primarily on a decision-tree classification of circa 2006 Landsat satellite data. NLCD 2006 also quantifies land cover change between the years 2001 to 2006. The tables are contained in a Data Table Collection accessed through the property.When accessing Data Table objects, note that they are conditionally case sensitive.Completion of the 2006 National Land Cover Database for the Conterminous United States, PE&RS, Vol. Accuracy assessment of NLCD 2006 land cover and impervious surface, , Vol. Jin, S., Yang, L., Danielson, P., Homer, C., Fry, J., and Xian, G. A comprehensive change detection method for updating the National Land Cover Database to circa 2011. Jin, S., Homer, C., Yang, L., Xian, G., Fry, J., Danielson, P., and Townsend, P. Automated cloud and shadow detection and filling using two-date Landsat imagery in the USA.
Photogrammetric Engineering & Remote Sensing 79(5):469-477. The NLCD2006 land cover change product was generated by comparing spectral characteristics of Landsat imagery between 20, on an individual path/row basis, using protocols to identify and label change based on the trajectory from NLCD 2001 products. Preferred NLCD 2006 citation: Fry, J., Xian, G., Jin, S., Dewitz, J., Homer, C., Yang, L., Barnes, C., Herold, N., and Wickham, J., 2011. NLCD 2011 provides - for the first time - the capability to assess wall-to-wall, spatially explicit, national land cover changes and trends across the United States from 2001 to 2011. The change of impervious surface area between 20 in the conterminous United States. As with two previous NLCD land cover products NLCD 2011 keeps the same 16-class land cover classification scheme that has been applied consistently across the United States at a spatial resolution of 30 meters. A., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston, J., Herold, N. D., and Megown, K., 2015, Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, Vol. objects, see Data Sets, Data Tables, and Data Views.Whereas Data Table objects contain the data, the Data Relation Collection allows you to navigate though the table hierarchy. Further details can be found in the USGS Policies and Notices page. Further details can be found in the USGS Policies and Notices page. Further details can be found in the USGS Policies and Notices page. Further details can be found in the USGS Policies and Notices page.Un'altra soluzione alternativa efficace consiste nel recuperare le righe in batch, ad esempio diverse centinaia alla volta, e recuperare il batch successivo solo quando il client ha terminato con quello corrente.' Assumes that connection is a valid Sql Connection object. To String()) Next Next // Assumes that customer Connection is a valid Sql Connection object. The influence of multi-season imagery on models of canopy cover: a case study. International Journal of Remote Sensing, 34:5, 1540-1560.