Dongmoon Kim ¹

Affiliations
1 Department of GIS Engineering, Namseoul University, KW

Abstract

Essential to the establishment of such 3D spatial information are the laser scanning technology to obtain high-precision 3D point clouds and the photography-metric camera to obtain high-resolution multispectral image information. TLS (Terrestrial laser scanner) is a high precision positioning technique to monitor the behavior and change of structures and natural topography. 3D point clouds of natural environments relevant to problems in geomorphology (rivers, coastal environments, cliffs, …) often require classification of the data into elementary relevant classes12. There are such old techniques to classify massive point clouds as NDVI and PCA (Principal Component Analysis). Although they have many different advantages, it is extremely difficult for them to maximize their advantages to function as stand-alone techniques and overcome their disadvantages. This study thus set out to investigate the integration of NDVI and a probabilistic classifier PCA, SVM (Support Vector Machine), LDA (Linear Discriminant Analysis))1 to obtain land cover information in a natural state through TLS and improve the classification accuracy of resulting massive point clouds.

Keywords

NDVI (Normalized Difference Vegetation), PCA (Principal Component Analysis), TLS (Terrestrial Laser Scanner)

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Dongmoon Kim ¹

Affiliations
1 Department of GIS Engineering, University of Namseoul, 91, Daehak-ro, Seonghwan-eup, Seobuk-gu, Cheonan-si, 31020

Abstract

Objectives: To find optimal locations for groundwater tubular wells by analyzing the spatial areas of influence in GIS to assess groundwater tubular wells and analyze their development potential. Methods/Statistical Analysis: The candidates of new tubular well development was selected according to the procedure of the GIS spatial analysis based on the spatial data of location, contamination vulnerability, current land usage, and topographic map of tubular wells, the GIS analysis results based on overlapping and analysis of area of influence, union data, dissolve data, clip data, and DRASTIC index. Findings: The rational development and utilization of groundwater tubular wells, which are an approach to secure local water supply and are expected to offer a relatively stable water supply, is a very important topic to decision-makers at local governments. Previous studies on the development of groundwater focused on the contamination and utilization features of groundwater and can thus be used as important findings to solve environmental issues, but they do not reflect the needs of groundwater development from the perspective of supply right by putting together the local characteristics. This study thus set out to evaluate old tubular wells by analyzing the spatial areas of influence of subject areas and select optimal locations for tubular wells by analyzing their development potential, thus proposing candidate locations for tubular well development and water supply amounts and providing basic data needed to make plans for local water supply. Improvements/Applications: The meaningful findings regarding groundwater development can serve the staff members in charge of the affair at local governments as basic data.

Keywords

DRASTIC Index, GIS, Groundwater Tubular, Spatial analysis, Topographic Map.

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