Importance of Spatial Data Mining(SPM)

 SDM plays an important role in everyday life as well, and its scope of application is ever-expanding under the remotely sensed aids of our Smart Planet. For example, Remote Sensing (RS) cannot be substituted for human monitoring of the sustainable development of the earth; however, it is one of the current areas that RS is capable of doing automatically and its sensed images would be valuable. SDM provides new access to automatically sensed knowledge-based object identification and classification from huge RS high-resolution images. In hyperspectral images of the earth's surface, there is a triple data gain of spatial, radial, and spectral information. By mining hyperspectral images, the objects with fine spectral features may be intelligently analyzed, extracted, identified, matched, and classified with high accuracy and thereby accelerating the application time of RS images. SDM may greatly improve the speed of knowledge-based information processing. From nighttime light images, the severity of the Syrian crisis was assessed in time for humanitarian aid, and the countries in Asia will be helped to promote beneficial cooperation in global sustainability.