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The Project of Detecting the Illegal Waste Dumping Fields and Monitering the Landfills with the Appl

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The goal of this project is to handle the waste types and waste areas for the EPA and EPB that planned to use the current remote sensing technique combined with the spatial science to set up the waste monitoring system. The research of waste dumping sites can be provided to the administration units and the public to know more information about Taiwan waste situation through the RS research web site (http://waste7.epa.gov.tw/epa_gm/) under the EPA web. In this web site, there are many RS related knowledge and spatial analyzed results will be scrutinized. And the new spatial and RS techniques improve the environment monitoring capability for EPA and EPB, as well as UAV or national airborne service corps can also provide more aerial monitoring ability about the ground waste dumping sites. Totally the resources from different units can upgrade the accuracy of pinpointing the waste dumping sites to obtain more integration profits. In this year, the data mining technique has been applied to analyze the old dumping sites and obtained four factors, in terms of distance between rivers, distance between roads, distance between residential areas and elevation. The possible waste areas can be produced through above four factors and later will be analyzed with RS classification image. The demonstrated area has 176.4452 square kilometers, after the analysis, only 4.75% area has been filtered out as the most possible area, which means 8.3822 square kilometers are the possible waste areas. That means there are almost 95% areas are waste free areas which do not needed to be surveillance. After the final check from the aerial photos, the accuracy lift up to 80% accuracy, which means every 4 out of 5 possible waste sites found in the technique, will be proved as true waste sites on the fields. Even some places are not easy to visit, the UAV will be used to collect the aerial photos proof. Therefore the RS and spatial science can have substantial effects and assurance in assisting the environment supervision.
Keyword
The remote sensing;Satellite;Aerial Images
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