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Proceedings Paper

Detection and assessment of flood susceptible irrigation networks in Licab, Nueva Ecija, Philippines using LiDAR DTM
Author(s): R. T. Alberto; P. J. C. Hernando; R. C. Tagaca; A. B. Celestino; G. C. Palado; E. E. Camaso; G. B. Damian
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Paper Abstract

Climate change has wide-ranging effects on the environment and socio-economic and related sectors which includes water resources, agriculture and food security, human health, terrestrial ecosystems, coastal zones and biodiversity. Farmers are under pressure to the changing weather and increasing unpredictable water supply. Because of rainfall deficiencies, artificial application of water has been made through irrigation. Irrigation is a basic determinant of agriculture because its inadequacies are the most powerful constraints on the increase of agricultural production. Irrigation networks are permanent and temporary conduits that supply water to agricultural areas from an irrigation source. Detection of irrigation networks using LiDAR DTM, and flood susceptible assessment of irrigation networks could give baseline information on the development and management of sustainable agriculture.

Map Gully Depth (MGD) in Whitebox GAT was used to generate the potential irrigation networks. The extracted MGD was overlaid in ArcGIS as guide in the digitization of potential irrigation networks. A flood hazard map was also used to identify the flood susceptible irrigation networks in the study area. The study was assessed through field validation of points which were generated using random sampling method.

Results of the study showed that most of the detected irrigation networks have low to moderate susceptibility to flooding while the rest have high susceptibility to flooding which is due to shifting weather. These irrigation networks may cause flood when it overflows that could also bring huge damage to rice and other agricultural areas.

Paper Details

Date Published: 6 September 2017
PDF: 10 pages
Proc. SPIE 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 104440O (6 September 2017); doi: 10.1117/12.2277524
Show Author Affiliations
R. T. Alberto, Central Luzon State Univ. (Philippines)
P. J. C. Hernando, Central Luzon State Univ. (Philippines)
R. C. Tagaca, Central Luzon State Univ. (Philippines)
A. B. Celestino, Central Luzon State Univ. (Philippines)
G. C. Palado, Central Luzon State Univ. (Philippines)
E. E. Camaso, Central Luzon State Univ. (Philippines)
G. B. Damian, Central Luzon State Univ. (Philippines)


Published in SPIE Proceedings Vol. 10444:
Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017)
Kyriacos Themistocleous; Silas Michaelides; Giorgos Papadavid; Vincent Ambrosia; Gunter Schreier; Diofantos G. Hadjimitsis, Editor(s)

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