The TM images, however, were registered to the already registered ETM images through image-to-image registration technique with rectification error of less than 0.5 pixels.The forest stand type maps http://www.selleckchem.com/products/pacritinib-sb1518.html used in this research were first scanned, saved in tiff format and then registered exactly to the digital topographic maps in the same manner as with the Landsat ETM image. Rectified forest stand type maps were digitized with a 1/3,000 to 1/5,000 screen view scale with Arc/Info 9.2? GIS by a number of qualified foresters. This allowed the direct comparison of the features between the images and aerial photographs during the selection of sample plots to be used in Inhibitors,Modulators,Libraries image classification and accuracy assessment of classified images.3.2.
Image Classification of the 1987 Landsat TM and 2001 Landsat ETM ImagesGround reference data was obtained from more than Inhibitors,Modulators,Libraries 110 ground data points as signatures for each satellite Inhibitors,Modulators,Libraries image. The training points were equally distributed to each cover type with at least 10 points per cover type. For the supervised classification of the 1987 image, the stand type maps of 1980 and 1995 were combined to create ground signatures. Likewise, the stand type maps of 1995 and 2005 were combined to create ground signatures for the supervised classification of the 2000 image. These ground reference points were sampled on the cover type (stand) maps derived from the 2002 Ariel Photography and verified through ground measurements undertaken by the State Forest Management Teams in 2005.
In order Inhibitors,Modulators,Libraries to classify cover types from the Inhibitors,Modulators,Libraries images, signatures were taken from the ground corrected stand type maps and adjusted based on the Transformed Vegetation Inhibitors,Modulators,Libraries Index, Principle Components Analysis-PCA and unsupervised classification image. Supervised maximum Inhibitors,Modulators,Libraries likelihood Inhibitors,Modulators,Libraries classification methods were employed in the analyses. Then the 1987 and 2000 images were checked for accuracy using ground data points that were not used in the original classification process together with other points of known condition, such as forest areas visually surveyed with binoculars, stand maps, urban areas and rock outcrops identified in the image. Equal Control Point methods were used in Erdas Imagine 9.0? program with at least 30 points for each class [38].
The accuracy assessment of image was checked for each image and accepted if the accuracy was higher than %80.
After the accuracy assessment, all images were clumped, eliminated 3��1 pixels and vectorized in Erdas Imagine 9.0? program. Dacomitinib These coverages were pre-processed to eliminate areas less than 0.3 ha Cilengitide for spatial landscape analysis with Fragstats?.The Landsat TM image (1987) was successfully classified for nine fuel types, but regeneration selleck chemical areas and open areas were classified with a lower accuracy than other classes (69%, Table 1). However, this is generally acceptable as the overall classification Erlotinib msds accuracy is much higher (83%) with the Kappa statistics (Conditional Kappa for each Class) value of 0.812.Table 1.