Autologistic regression modeling has been already introduced in remote sensing studies as a classification approach of satellite together data, however it has been limited to binary classification selleck chemicals schemes as for instance in flood zonation and burned land Inhibitors,Modulators,Libraries mapping [26, 27]. Finally, the ML classified image was upgraded to contextual by considering typicality, a measure which indicates the strength of class membership [28].2.?Study AreaThe study area is located in the uppermost part of the Kassandra Peninsula in NC Greece (Figure 1). Although each place is unique, depending on how environmental parameters Inhibitors,Modulators,Libraries and human actions are spatially integrated, our study area seems to be characteristic and representative of many landscape types found across Greece.
The fragmented landscape consists of small patches of forested land, interchanged Inhibitors,Modulators,Libraries with agriculture and rangelands. The forested land mainly consists of Aleppo Inhibitors,Modulators,Libraries pine (Pinus halepensis) and dense shrubs (maquis), Inhibitors,Modulators,Libraries the latter which occasionally dominate the overstory within the Inhibitors,Modulators,Libraries stands. In these ecosystems, the main species present in the understory are Quercus conferta, Quercus ilex and Pistacia lentiscus. As in the majority of Mediterranean forests, the landscape is quite heterogeneous with regards to stand structure and composition.Figure 1.Location of the study area and colour composite (RGB: TM-743) of the Landsat TM image used in the study.
The study area belongs to the Mediterranean type climate and the bioclimate is characterized as semi-arid with severe summer droughts and relatively high humidity throughout the year.
The study area is subject to strong human influence and high tourist pressure Inhibitors,Modulators,Libraries which justifies the fragmented character of the landscape. The relief Inhibitors,Modulators,Libraries of the area is rather gentle with mild slopes resulting in non-severe topographic shading.3.?Materials and Methods3.1. Image Data PreprocessingA Landsat-5 Thematic Mapper image Dacomitinib (path 184; row 032) was acquired on 11 May 1997. Haze removal was applied to the LANDSAT TM image by subtracting the amount by which each band’s histogram is shifted from the origin due to atmospheric scattering. Following this dark pixel subtraction approach, the minimum value of each spectral channel was subtracted from each pixel brightness in that channel [29].
The Landsat TM image was orthorectified using 54 ground control points identified on 1:5,000 scale orthophotographs produced from a 1996-1997 national aerial photography campaign and a digital elevation model constructed from contour lines of 20 m increment. Orthorectification ensured that spatial inaccuracies caused by the irregular terrain would be Site URL List sellectchem 1|]# minimized. The total root mean square error (RMS error) was about 0.6 of a pixel.3.2. Data analysis3.2.1. Classification SchemeInitially, six informational classes (Table 1) were identified after a field survey and photo interpretation of the orthophotographs.