Digital Elevation Models (DEMs) processed through the combined application
of Remote Sensing (RS) and Geographic Information Systems (GIS) technologies
were the most critical datasets to the success of surface hydrologic modelling
applications. This study aims to extract the hydrologic features… More
Digital Elevation Models (DEMs) processed through the combined application
of Remote Sensing (RS) and Geographic Information Systems (GIS) technologies
were the most critical datasets to the success of surface hydrologic modelling
applications. This study aims to extract the hydrologic features like drainage
line, inland wetlands and irrigations of Cabulig watershed using available
LiDAR datasets. WhiteboxGAT and QuantumGIS were used to extract wetlands
and irrigation while ArcGIS software was used for streams. The extracted features
were validated using ancillary maps and google earth while features that are not
clear were assigned as Point of interest (POI) and were subjected for
ground validation. Aside from POI, random sampling tool was used to generate
points subject for field validation. The results showed that the extracted features
havehigher average accuracy in comparison to the data obtained from the field
regardless of specific type of hydrologic features. The extracted streams network
using ArcGIS showed the highest accuracy while the extracted wetland features
using the combined applications of WhiteboxGAT and QuantumGIS showed
relatively lower accuracy. Therefore, this study was able to extract the hydrologic
features of Cabulig watershed using LiDAR-derived DTMs with higher levels of
accuracy compared to lower resolution DEMs. Less