Abstract
Field margin vegetation (FMV) lies between an agricultural field and another land use land cover type, which is an interface of immense socioecological significance. This research has made an attempt to develop a three-step framework that distinguish FMV from other features or vegetation, which was found to be almost impossible using available classifiers. This research is first of its kind and preliminary effort to develop an accurate method to map and quantify vegetation in field margins in a rural-urban interface of the northern transect of Bengaluru using high resolution (0.3 m × 0.3 m) satellite imagery (WorldView3). The conditions for delineation of FMV are set based on neighbourhood features using Julia programming language for three methods of image classification and analysis. Third algorithm has been found to perform better (with 86% accuracy) where reclassification of the vegetation to delineate FMV from other vegetation was done with an input of classified image. Further accuracy assessment of three algorithms was done using manually digitized FMV and ground verification of sampled plots. Based on the results and their accuracy, it is suggestive that the method is scalable for identifying, assessing and mapping FMVs for sustainable socioecological development, and future research should be adopted for enhancing efficiency and accuracy of the method.
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Nautiyal, S., Goswami, M., Shivakumar, P. (2021). Delineation and Monitoring of FMV. In: Field Margin Vegetation and Socio-Ecological Environment. Environmental Science and Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-030-69201-8_6
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DOI: https://doi.org/10.1007/978-3-030-69201-8_6
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