Abstract:Digital Terrain analysis (DTA) and modeling has been a flourishing interdisciplinary field for decades, with applications in hydrology, geomorphology, soil science, engineering projects and computer sciences. Currently, DTA is characterized by a proliferation of multispectral data from new sensors and platforms, driven by regional and national governments, commercial businesses, and scientific groups, with a general trend towards data with higher spatial, spectral or temporal resolutions. Deriving meaningful a… Show more
“…Terrain analysis has been widely used previously in military applications, development planning, and landscape mapping. In many years, terrain analysis has been focused mainly on producing digital terrain models (DTM), digital elevation models (DEM), and digital surface models (DSM) [15]. With the development of new technologies for processing terrain analysis, this even brought the application into even wider applications of topography analysis [15].…”
Section: Introductionmentioning
confidence: 99%
“…In many years, terrain analysis has been focused mainly on producing digital terrain models (DTM), digital elevation models (DEM), and digital surface models (DSM) [15]. With the development of new technologies for processing terrain analysis, this even brought the application into even wider applications of topography analysis [15]. Digital terrain analysis is now being widely used in watershed analysis [12], hydrogeomorphic and geographic analysis [16][17][18], floodplain delineation [19], and flood inundation analysis [20].…”
Fluvial dynamics are an important aspect of land-use planning as well as ecosystem conservation. Lack of floodplain and flood inundation maps can cause severe implication on land-use planning and development as well as in disaster management. However, flood hazard delineation traditionally involves hydrologic models and uses hydraulic data or historical flooding frequency. This entails intensive data gathering, which leads to extensive amount of cost, time, and complex models, while typically only covers a small portion of the landscape. Therefore, alternative approaches had to be explored. This study explores an alternative approach in delineating flood hazard areas through a straightforward interpolation process while using high-resolution LiDAR-based datasets. The objectives of this study are: (1) to delineate flood hazard areas through a straightforward, nonhydraulic, and interpolation procedure using high-resolution (LiDAR-based) datasets and (2) to determine whether using high-resolution data, coupled with a straightforward interpolation procedure, will yield reliable potential flood hazard maps. Results showed that a straightforward interpolation method using LiDAR-based data produces a reliable potential flood zone map. The resulting map can be used as supplementary information for rapid analysis of the topography which could have implications in area development planning and ecological management and best practices.
“…Terrain analysis has been widely used previously in military applications, development planning, and landscape mapping. In many years, terrain analysis has been focused mainly on producing digital terrain models (DTM), digital elevation models (DEM), and digital surface models (DSM) [15]. With the development of new technologies for processing terrain analysis, this even brought the application into even wider applications of topography analysis [15].…”
Section: Introductionmentioning
confidence: 99%
“…In many years, terrain analysis has been focused mainly on producing digital terrain models (DTM), digital elevation models (DEM), and digital surface models (DSM) [15]. With the development of new technologies for processing terrain analysis, this even brought the application into even wider applications of topography analysis [15]. Digital terrain analysis is now being widely used in watershed analysis [12], hydrogeomorphic and geographic analysis [16][17][18], floodplain delineation [19], and flood inundation analysis [20].…”
Fluvial dynamics are an important aspect of land-use planning as well as ecosystem conservation. Lack of floodplain and flood inundation maps can cause severe implication on land-use planning and development as well as in disaster management. However, flood hazard delineation traditionally involves hydrologic models and uses hydraulic data or historical flooding frequency. This entails intensive data gathering, which leads to extensive amount of cost, time, and complex models, while typically only covers a small portion of the landscape. Therefore, alternative approaches had to be explored. This study explores an alternative approach in delineating flood hazard areas through a straightforward interpolation process while using high-resolution LiDAR-based datasets. The objectives of this study are: (1) to delineate flood hazard areas through a straightforward, nonhydraulic, and interpolation procedure using high-resolution (LiDAR-based) datasets and (2) to determine whether using high-resolution data, coupled with a straightforward interpolation procedure, will yield reliable potential flood hazard maps. Results showed that a straightforward interpolation method using LiDAR-based data produces a reliable potential flood zone map. The resulting map can be used as supplementary information for rapid analysis of the topography which could have implications in area development planning and ecological management and best practices.
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