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STUDY THE USE OF MUTLI-TEMPORAL SAR DATA IN RICE AREA MAPPING AND MONITORING FOR ASIA-RICE INITIATIVE

机译:研究亚稻倡议水稻地区测绘中多时间SAR数据的研究

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Asia-Rice Crop Estimation & Monitoring (Asia-RiCE) component of the GEO Global Agricultural Monitoring (GEOGLAM) initiative is started by an ad hoc team of stakeholders in Asia. The aim of the initiate is to develop rice-related information; paddy grown area maps, condition and outlook of the rice growth, monitoring of the growth and finally the rice yield and production, using remote sensing tools and disseminate the same at the local and global scales. This paper discusses the use of multi-temporal SAR data for the identification of rice-planted area, and the potential of growth monitoring carried out through Asia-RiCE group. An algorithm is proposed and emphasis was given to describe the custom-made software tool referred to as International Asian Harvest mOnitoring system for Rice (1NAHOR) in processing the proposed algorithm using multi-temporal data. Tests sites were selected and collaborated was done with national agriculture agencies in Cambodia and Myanmar in applying the algorithm and testing the outcome with ground based data for accuracy verification. In both of the cases, temporal ALOS-2 data were used and acceptable accuracy levels were observed. Moreover, results were shared with decision makers during stakeholders meeting and proposed schemes to integrate space based estimation in national agriculture statistical data collection system.
机译:Geo全球农业监测(Geoglam)倡议的亚洲作物估计和监测(亚洲米)组成部分由亚洲利益攸关方的特设团队启动。启动的目的是开发与稻米有关的信息;稻谷种植区地图,病情和展望水稻生长,监测增长,最后稻米产量和生产,利用遥感工具,在本地和全球范围内传播相同。本文讨论了使用多颞性SAR数据来鉴定水稻种植面积,以及通过亚洲稻组进行的生长监测的潜力。提出了一种算法,并强调描述了使用多时间数据处理所提出的算法的大米(1Nohor)作为国际亚洲收获监测系统的定制软件工具。选择并合作,在柬埔寨和缅甸在应用算法和基于地面数据的结果进行准确性验证的结果进行测试站点。在这两种情况下,使用时间AlOS-2数据,并且观察到可接受的精度水平。此外,在利益攸关方会议期间与决策者共享结果,并提出计划在国家农业统计数据收集系统中整合基于空间的估算。

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