The concept of fractal dimension can be applied in a number of geosciences applications which may include the remote sensing image complexity characterization (DeCola, 1989). Though the same problem is that in spite of a number of applications, there may be the problem related to the inconsistent results which may be derived from different fractal calculations, the algorithms and remains (Lam et al., 2002). Clarke (1986) proposed that the basic triangular prism mainly makes the use of the three dimensional prisms which may be constructed from the image. He also stated that the prism surface area is further compared with the total step size which may be used for the purpose of derivation of prisms in a double logarithmic regression. Thus, the triangular prism is constructed with the help of connecting four different kinds of pixel also. The value of the height of every pixel has the pixel intensity value (Ju et al, 2009).
In the recent times, there has been a high increase in the spatial data in different systems. It is widely used in the earth observation systems. Thus, it is important to develop some of the effective and efficient tools which can be helpful in handling and analysis of the data to access and monitor the environmental conditions.
The four articles which has been discussed for the research includes the environmental assessment and monitoring with the characterization of the image and the modeling system by the use of multi scale remote sensing data, the description and the measurement of the lands are TN images by the use of fractals, the improved algorithm for the computation of the local fractal dimension by the use of triangular prism methods by Wenxue Ju and the evaluation of fractal methods for the characterization of the image complexity by nina siu ngam lam.