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

机译:研究多时间SAR数据在稻米区域制图和监测中的应用

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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)计划中的“亚洲水稻收成估算和监测”(Asia-RiCE)组件由亚洲利益相关方特别小组启动。发起人的目的是开发与水稻有关的信息;稻田面积图,稻米生长状况和前景,对稻米生长的监测以及最后对稻米产量和产量的监测,均使用遥感工具,并在地方和全球范围内进行传播。本文讨论了使用多时SAR数据来识别水稻种植区,以及通过Asia-RiCE小组进行的生长监测潜力。提出了一种算法,并着重描述了使用多时相数据处理称为国际水稻丰收监测系统(1NAHOR)的定制软件工具。选择了测试地点,并与柬埔寨和缅甸的国家农业机构进行了合作,以应用算法并使用基于地面的数据测试结果以进行准确性验证。在这两种情况下,都使用了时间ALOS-2数据,并且观察到了可接受的准确度水平。此外,在利益相关者会议期间与决策者分享了结果,并提出了将基于空间的估计纳入国家农业统计数据收集系统的计划。

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