The main scientific problem is that does the degree of fragmentation influence the wetland loss and what is the probability of the extent of the impact. Therefore, I will use fractal analysis and spatial autocorrelation to calculate the fragmentation. Compare the relationship between fragmentation and land loss probability. The land loss records are from 1996 to 2001. The study points are 101*101 pixels, which is 30 m *30 m each pixel, selected in southern Louisiana. The purpose of my research is studying the effects of fragmentation to land loss, by the methods including the triangular prism method and spatial auto correction method (Moron’s I).
The primary method for the monitoring of the changes on the surface of the earth is satellite remote sensing. With the help of the same it is important to ensure that the overall land loss is minimum. Proper methods are required to be implemented to ensure that there isn’t a major loss of land in the area in the coming time and the overall land loss may be easily controlled.
Land loss and its impact due to fragmentation can be checked by monitoring of the changes in the surface is with the help of field data collection through aerial photography by the process of using the satellite remote sensing. The land use, land cover classification and the detection of the change is one of the most important and critical applications of the remote sensing. The method analysis may be based on the remote sensing satellite (Ingebritsen et al 9.9). This method can be implemented by the different processes such as Moron’s I which may include the process such as image rotation, image differentiation, image classification, statistical process for example PCA and Tasseled cap and the spatial or textural (Piazza & Bryan et al 65). Another method which can be used is the Moroan’s I index and Triangular prism method. During the entire process of change of environment, a fixed scale for the measurement may be used by the series of images. In order to implement the same, there is a requirement of the measurement of a fixed scale at different intervals. It helps in the building of the time series images. The remote sensing process for the environmental characterization and the monitoring can be done by the aerial photographers. Though there are few problems which may be associated with remote sensing such as the change detection (Faulkner & Stephen, 89). According to the observation by Lam and Quattrochi (1992), when the same area of land was observed with the help of different scales, different spatial patterns were observed. Thus, Lam and Quattrochi (1992), had concluded that the overall choice of the scale completely depends on the study objectives, the kind of environment and information which is required.
Change detection methods can be useful for the purpose of comparison of different types of multi temporal remotely sensed images. Some of these images may be related pre-event images which the others are post event images. These can be used for the purpose of analysis of the spatial patterns of land. According to Lillesand and Kiefer (2004), it states that the change detection technique can be divided into the four different steps Glick, Patty et al 211). The very first step includes the preparation of the data by the process of accurate registration, transformation and multiple image mosaicking. The second step is the analysis of the actual change (McClenachan et al, 2013). The third method is the production of change detection map and statistics and the fourth is the assessment of the accuracy of the change maps. Thus, change detection method can be used to study the impact of fragmentation on land loss in Louisiana.