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首页> 外文会议>Asian conference on remote sensing;ACRS >DELINEATING FLOOD EXTENT AND FLOOD-PRONE RICE AREAS IN THE PHILIPPINES USING SYNTHETIC APERTURE RADAR
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DELINEATING FLOOD EXTENT AND FLOOD-PRONE RICE AREAS IN THE PHILIPPINES USING SYNTHETIC APERTURE RADAR

机译：用合成孔径雷达描绘菲律宾的洪水泛滥和水稻价差地区

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Accurate, timely, and location-specific estimates of damages resulting from natural calamities such as typhoons and floods due to torrential rains are necessary for rapid decision making on emergency response, early assessment of potential shortfalls in food production, and planning and implementation of rehabilitation programs. To deliver timely and actionable information on the impact of typhoon or flood events on rice production in the Philippines, protocols for flood assessment using Synthetic Aperture Radar (SAR) and field surveys have been developed and implemented as part of the Philippine Rice Information System (PRISM, https://prism.philrice.gov.ph/), an operational rice monitoring system in the country. This paper presents the flood assessment protocol of PRISM and analysis to identify flood-prone rice areas. Initially, COSMO SkyMed and TerraSAR-X, both commercially available SAR imagery, were used for rice mapping and flood detection. Starting 2015, Sentinel-1 became the primary source of SAR images for rice mapping and flood assessment in PRISM. A rule-based method is used to classify rice areas every season and a simple change detection and thresholding algorithm is used to map flooded areas. From 2014 to 2018, 25 flood assessments were conducted and these were provided to the National and the Regional Field Offices of the Philippine Department of Agriculture. During the assessment period, the flood events with the most rice areas affected occurred in September and October which coincide with the ripening and peak of harvest for the wet season rice cropping. The most damaging flood event during the assessment period was Typhoon Haima (local name: Lawin) which affected the country in October 2016 and flooded 97 thousand ha, more than half of which were planted to rice. In 2018, Typhoon Mangkhut (local name: Ompong), which made landfall in September, caused flooding in more than 82 thousand ha, more than one-third of which were planted to rice. Results from the multi-year assessments show that nearly 0.3 million ha of rice were flooded in at least two out of five years; and 16 thousand ha were flooded in at least four out of five years. Central Luzon, the top rice-producing region in the country, is by far the most flood-prone region with I 16 thousand ha of its rice land flooded in at least two out of five years. Some implications and recommendations to improve the current flood assessment procedure as part of an operational system for monitoring are discussed.
机译：准确，及时和针对特定地点的自然灾害（如台风和暴雨造成的洪水）造成的损失估算，对于快速做出紧急响应决策，及早评估粮食生产中的潜在短缺以及规划和实施恢复计划是必要的。为了提供有关台风或洪水事件对菲律宾稻米生产的影响的及时和可操作的信息，作为菲律宾稻米信息系统（PRISM）的一部分，已经开发并实施了使用合成孔径雷达（SAR）进行洪水评估的协议和实地调查，https：//prism.philrice.gov.ph/），该国的水稻运行监测系统。本文介绍了PRISM洪水评估协议，并进行了分析以识别易发洪水的稻米地区。最初，将商用SAR图像COSMO SkyMed和TerraSAR-X用于水稻地图绘制和洪水检测。从2015年开始，Sentinel-1成为PRISM中用于水稻作图和洪水评估的SAR图像的主要来源。使用基于规则的方法对每个季节的稻米区域进行分类，并使用简单的变化检测和阈值算法来绘制淹水区域的地图。从2014年到2018年，进行了25次洪水评估，并将评估结果提供给了菲律宾农业部的国家和地区外地办事处。在评估期间，受稻灾影响最大的洪水事件发生在9月和10月，这与雨季水稻种植的成熟期和收获高峰相吻合。在评估期内，破坏性最大的洪水事件是台风海马（当地名称：Lawin），2016年10月对该国造成了影响，洪水淹没了9.7万公顷，其中一半以上被种植到水稻上。 2018年，9月登陆的台风山竹（本地名称：Ompong）造成洪水泛滥，面积超过8.2万公顷，其中三分之一以上种植在水稻上。多年评估的结果表明，至少有五分之二的五年内有近30万公顷的水稻被水淹没。五年中至少有四万六千公顷被淹没。吕宋岛中部是该国最大的稻米产区，是迄今为止洪灾最易发地区，在至少五年中的两年中，有1.6万公顷的稻田被洪水淹没。讨论了改进当前洪水评估程序作为监视运行系统一部分的一些含义和建议。

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