Assessment of the fuzzy ARTMAP neural network method performance in geological mapping using satellite images and Boolean logic

Abstract

Currently, in executive comparative studies and even in the research studies of natural resources, the use of maps produced by the geological survey forms the basis of geological studies. However, in recent years, remote sensing technology has been introduced as a new and efficient tool for geological studies which in addition to the accuracy has other benefits such as access to the arduous mountainous areas or inaccessible that can help us to prepare geological maps with more accuracy. The purpose of this study is to compare geological survey geological maps with a scale of 1: 100,000, and produced and modified by Google Earth maps by using fuzzy ARTMAP artificial neural network method. For this purpose, the geological map of a part of Yazd-Shirkooh watershed prepared by using Landsat 7 image by fuzzy ARTMAP artificial neural network method with Kappa coefficient of 89%. Also, geological survey and Google Earth map prepared. Graphic map obtained from the visual interpretation of Google Earth images with the ground control was considered as the base map and comparing it with other maps evaluated by using Boolean logic. By using the sampling network created 100 points which 62 points were in the study area and 56 cases in the fuzzy ARTMAP map and 52 cases in the geological survey map were consistent with the base map. Due to reduced cost and time and no limits of time and space, fuzzy ARTMAP is a suitable method for the preparation of geological maps.

Temporal-Spatial Simulation of Landscape Variations Using Combined Model of Markov Chain and Automated Cell

“…Finally, with the help of simulated models, it was concluded that some types of trees whose developmental trend is expected with significant decline requires a proper forestry management. Arabi Aliabad et al (2018) investigated the land use changes and the way of using lands by remote sensing data of 1973 and 2010. Besides, they simulated the urban growth of Mumbai city for the 10-year period from 2020 to 2030.…”

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Evaluating the impact of flood inundation with the cloud computing platform over vegetation cover of Ganga Basin during COVID-19

“…There is an extensive body of literature on the use of remote sensing strategies to monitor and manage floods. Research has shown that advancements in science that leverage new techniques for receiving and processing data, as well as the use of software and information processing systems, play a major role in the management of limited water and soil resources [ 16 ]. Similarly, [ 17 ] recommended that the GIS model is one of the most useful methods for evaluating the intensity of soil erosion in the Delichai basin.…”

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