A LiDAR-based flood modelling approach for mapping rice cultivation areas in Apalit, Pampanga

被引:22
作者
Toda, Luigi L. [1 ,3 ]
Yokingco, John Colin E. [1 ]
Paringit, Enrico C. [2 ]
Lasco, Rodel D. [1 ,4 ]
机构
[1] Oscar M Lopez Ctr Climate Change Adaptat & Disast, Pasig, Philippines
[2] Univ Philippines, Natl Engn Ctr, Phil LiDAR Hazard Mapping Philippines Using LiDAR, Quezon City, Philippines
[3] Australian Natl Univ, Crawford Sch Publ Policy, Canberra, ACT, Australia
[4] Int Rice Res Inst, World Agroforestry Ctr, Los Banos, Laguna, Philippines
关键词
Flood modelling; LiDAR; GIS; Rice cultivation areas;
D O I
10.1016/j.apgeog.2016.12.020
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Majority of rice cultivation areas in the Philippines are susceptible to excessive flooding owing to intense rainfall events. The study introduces the use of fine scale flood inundation modelling to map cultivation areas in Apalit, a rice-producing municipality located in the province of Pampanga in the Philippines. The study used a LiDAR-based digital elevation model (DEM), river discharge and rainfall data to generate flood inundation maps using LISFLOOD-FP. By applying spatial analysis, rice cultivation zone maps were derived and four cultivation zones are proposed. In areas where both depth and duration exceed threshold values set in this study, varieties tolerant to stagnant flooding and submergence are highly recommended in Zone 1, where flood conditions are least favorable for any existing traditional lowland irrigation varieties. The study emphasizes that a decline in yield is likely as increasing flood extents and longer submergence periods may cause cultivation areas for traditional irrigated lowland varieties to decrease over time. This decrease in yield may be prevented by using varieties most suitable to the flooding conditions as prescribed in the rice zone classification. The method introduced in this study could facilitate appropriate rice cultivation in flood-prone areas. (c) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:34 / 47
页数:14
相关论文
共 50 条
[41]   Estimating Low-power Radio Signal Attenuation in Forests: A LiDAR-based Approach [J].
Demetri, Silvia ;
Picco, Gian Pietro ;
Bruzzone, Lorenzo .
2015 INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), 2015, :71-80
[42]   Detecting short-term evolution of Etnean scoria cones: a LIDAR-based approach [J].
Alessandro Fornaciai ;
Boris Behncke ;
Massimiliano Favalli ;
Marco Neri ;
Simone Tarquini ;
Enzo Boschi .
Bulletin of Volcanology, 2010, 72 :1209-1222
[43]   Environmental damage associated with severe hydrologic events: a LiDAR-based geospatial modeling approach [J].
Amin Kiaghadi ;
Adithya Govindarajan ;
Rose S. Sobel ;
Hanadi S. Rifai .
Natural Hazards, 2020, 103 :2711-2729
[44]   LiDAR-Based Solar Mapping for Distributed Solar Plant Design and Grid Integration in San Antonio, Texas [J].
Le, Tuan B. ;
Kholdi, Danial ;
Xie, Hongjie ;
Dong, Bing ;
Vega, Rolando E. .
REMOTE SENSING, 2016, 8 (03)
[45]   Revolutionizing RIS Networks: LiDAR-Based Data-Driven Approach to Enhance RIS Beamforming [J].
Nazar, Ahmad M. ;
Selim, Mohamed Y. ;
Qiao, Daji .
SENSORS, 2025, 25 (01)
[46]   BoostedDim attention: A novel data-driven approach to improving LiDAR-based lane detection [J].
Patil, Omkar ;
Nair, Binoy B. ;
Soni, Rajat ;
Thayyilravi, Arunkrishna ;
Manoj, C. R. .
AIN SHAMS ENGINEERING JOURNAL, 2024, 15 (09)
[47]   A LiDAR-based approach for a multi-purpose characterization of Alpine forests: an Italian case study [J].
Alberti, Giorgio ;
Boscutti, Francesco ;
Pirotti, Francesco ;
Bertacco, Cristina ;
De Simon, Giuseppe ;
Sigura, Maurizia ;
Cazorzi, Federico ;
Bonfanti, Pierluigi .
IFOREST-BIOGEOSCIENCES AND FORESTRY, 2013, 6 :156-168
[48]   Enhancing Multi-Robot SLAM: Centralized LiDAR-Based Loop Closure Detection Approach [J].
Jalil, Basma Ahmed ;
Ibraheem, Ibraheem Kasim .
Iraqi Journal for Computer Science and Mathematics, 2024, 5 (04)
[49]   Extraction of geo-spatial information from LiDAR-based mobile mapping system for crowd control planning [J].
Leslar, Michael .
IEEE TIC-STH 09: 2009 IEEE TORONTO INTERNATIONAL CONFERENCE: SCIENCE AND TECHNOLOGY FOR HUMANITY, 2009, :468-472
[50]   A LiDAR and camera fusion-based approach to mapping and navigation [J].
Zhang, Min ;
Tang, Di ;
Liu, Cong ;
Xu, Xiaobin ;
Tan, Zhiying .
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, :4163-4168