Utilizing light detection and ranging technology for watershed delineation and mapping of Philippine hydrologic datasets in quezon with depth validation using utrasoonic sensor and mobile application
Abstract:
Addressing the problems arising from poor flood management and water budgeting, as well as from the outdated map of watershed features, this paper introduces the development of a map showing the stream and drainage networks, irrigation systems, and inland wetlands located in the province of Quezon in Philippines. The development of a mapping hydrological features such as streams, inland wetlands, as well as irrigation using commercial software. The study performed standard processes of automated delineation of features using 1 meter by 1 meter-size LiDAR Digital Elevation Model, manual intervention is performed preventing the complexity of the sub-components of the image processing, and reducing the personal errors that may be committed along the process. The developed map is tested to be accurate through performing ground truth. In as much as irrigation system are concerned, the created maps yielded 97.47% for completeness, 96.25% for correctness, and 93.90% for quality. On the other hand, the map for inland wetlands has shown 93.83% completeness, 95.00% correctness, and 88.37% quality. Lastly, for streams and drainage systems, the accuracy assessment gave values of 96.15% for completeness, 93.75% for correctness, and 90.36% for quality. In addition, a depth finder system developed using MB7386 HRXL ultrasonic sensor is used to investigate on the levels of water depth correlating the depth acquired using LiDAR data. Regression analysis was used in order to obtain a relationship between the pbkp_redictor and response variable. The depth finder developed system was calibrated and found to be working successfully under water at different turbidities as the results show a little difference as compared with the actual depth measurements. The uncertainties of the device for each component above are 0.013 m, 0.046 m, and 0.031 respectively.
Año de publicación:
2017
Keywords:
- Lidar
- Depth finder sensor
- Mapping hydrological dataset
Fuente:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Hidrología
- Hidráulica
- Hidrología
Áreas temáticas:
- Ciencias de la computación