Flood Inundation Mapping Using LiDAR and GIS: Mapping ...

5 downloads 9060 Views 738KB Size Report
Integrate models in Python to create zone maps. Clip zone map to rice cultivation extent ... fb.com/OMLCenter. REFERENCES: [1] Sole, A., Giosa, L., Nolè, L., ...
Flood Inundation Mapping Using LiDAR and GIS: Mapping Appropriate Rice Cultivation Areas in Apalit, Pampanga, Philippines Luigi L. Toda1, John Colin E. Yokingco1, Enrico C. Paringit 2, Rodel D. Lasco 1 1 The Oscar M. Lopez Center for Climate Change Adaptation and Disaster Risk Management Foundation, Inc., Pasig City, the Philippines 2 Disaster Risk and Exposure Assessment for Mitigation Program (DREAM) Program, National Engineering Center, University of the Philippines, Quezon City, the Philippines

Background and Objectives

Rice Cultivation Zone Maps

This study explores the use of LiDAR for agriculture by introducing a rice cultivation zoning classification based on flood depth and duration. Rice agriculture in the municipality of Apalit has been experiencing the effects of flooding leading to reduced cropping cycles and land conversion. The study’s main objective is to make use of LiDAR data to assess appropriate cultivation areas in Apalit based on flood conditions, specifically it aims to: 



Develop high-resolution rice cultivation maps for agricultural areas in Apalit, Pampanga employing LiDAR elevation data for various rainfall scenarios and; Recommend measures to help rice farmers enhance their cropping activities and rice yield and aid in the development of varieties that can withstand future flooding conditions

Framework Obtain flood model input data: rainfall, discharge, LiDAR DEM, roughness coefficients, river Cross-section

Results and Discussion Rice cultivation zone maps were created for 5-, 25-, and 100-year rain return scenarios. The Zones show where certain rice varieties can survive based on depth1 and duration2 thresholds (Figure 1). The area of Zone 1 decreases for each rainreturn scenario and the area of Zone 3 increases for each succeeding rain-return scenario, while Zones 2 and 4 remain relatively constant for all rain-return scenarios (Figure 2). Figure 1 Recommended varietal type and characteristics per cultivation zone

Figure 2 Percentage of cultivation zones covering the municipality

Increasing Duration

Run LISFLOOD using inputs to produce flood models

Flood Depth Model

Total Inundation Time Model

Increasing Depth

Validate model results using historical flood maps and focus group discussion

Zone 3

Zone 2

All types (

Suggest Documents