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Land use/ land cover information from various classification methods of Shekhawati region of Rajasthan

机译:拉贾斯坦邦Shekhawati地区各种分类方法的土地利用/土地覆盖信息

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In the present study, variation in classification methods is discussed. We adopted the three classification methods and compare them with the Authority records for land use classes. Finally, Knowledge Classification (KC) is used to create the Land Use Land Cover (LULC) map. Although the classification results from the Knowledge classification method were better than those obtained with the supervised and unsupervised method, but there are problem with the area which have less pixel count and intermixing of spectral information are present. KC will help in faster updation of Map at regional and local level for LULC categories with better accuracy than supervised classification. It helps in many aspects of Land planning and avoid conflicts among various stakeholders in Land classification.
机译:在本研究中,讨论了分类方法的变化。我们采用了三种分类方法,并将它们与土地使用分类的管理局记录进行了比较。最后,知识分类(KC)用于创建土地使用土地覆盖(LULC)地图。尽管知识分类法的分类结果要好于有监督和无监督方法,但存在像素数较少且光谱信息混合的区域问题。与监督分类相比,KC将以更高的准确性帮助LULC类别在区域和本地级别更快地更新地图。它在土地规划的许多方面都提供了帮助,并避免了土地分类中各利益相关者之间的冲突。

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