Digital Assessment of Spatial Distribution of the Surface Soil Types Using Spatial (Texture) Features with MLC and SVM Approaches Amol D. Vibhute, Karbhari V. Kale, Rajesh K. Dhumal, Ajay D. Nagne, Suresh C. Mehrotra, Amarsinh B. Varpe, Rupali R. Surase, Dhananjay B. Nalawade and Sandeep V. Gaikwad Abstract In the present work, the effort has been made to identify and distribute of surface soil types using high spatial resolution multispectral (HSRM) image inves- tigated in two ways. First, multispectral data is classified based on conventional approaches. Second, a method based on gray level co occurrence matrix (GLCM) as spatial objects extraction of the multispectral data is proposed. In this view, various texture parameters of the co-occurrence matrix method were used to highlight and extract the textures in the image. The method was computed on increasing matrix window size starting from original one. The Resourcesat-II Linear Imaging Self Scanning (LISS-IV) sensor multispectral image was used for testing the algorithms of the study area Phulambri Tehsil of Aurangabad region of Maharashtra state, India. The proposed approach was used as an input for Maximum Likelihood Classifier (MLC) and Support Vector Machine (SVM) approaches for identification and dis- tribution of surface soil types and other patterns. The experimental outcomes of the present research were appraised on the basis of classification accuracy of methods. The overall accuracy of classification by MLC and SVM after spatial feature extrac- tion was 92.82 and 97.32% with kappa value of 0.90 and 0.96 respectively. It was found that, the accuracy of the classification has increased after considering spatial features based on co-occurrence matrix. The results were promising to extract the mixed features for classification of soil type objects. A. D. Vibhute (B ) · K. V. Kale · R. K. Dhumal · A. D. Nagne · S. C. Mehrotra · A. B. Varpe R. R. Surase · D. B. Nalawade · S. V. Gaikwad Geospatial Technology Research Laboratory, Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad 431004, Maharashtra, India e-mail: amolvibhute2011@gmail.com © Springer Nature Singapore Pte Ltd. 2019 C. R. Krishna et al. (eds.), Proceedings of 2nd International Conference on Communication, Computing and Networking, Lecture Notes in Networks and Systems 46, https://doi.org/10.1007/978-981-13-1217-5_74 735