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Estimating Rainfed Rice Yield of Thailand in 2003 Using RADARSAT Data

机译:利用RADARSAT数据估算2003年泰国雨养稻单产

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Radar satellite data has a great potential in various applications. To take advantage of thernradar data, multi-temporal RADARSAT C-HH imagery were applied to extract information onrnrainfed rice area. Rainfed rice area mapping normally has limitation in terms of imageryrnreceiving time especially during raining season. Radar imagery are effective because radarrnwavelengths can penetrate through cloud, haze, and rain. The purpose of this study is to applyrnRADARSAT imagery and geoinformatic data to monitor rainfed rice area, and to estimate ricernyield by GIS modelling. Field surveying on four test sites was performed to verify the results ofrnthe model. The four test sites were Chiang Rai, Surin, Nakhon Si Thamarat, and Nakhon Nayok;rnthey were chosen because they represented different rice management practices in the fourrnregions of Thailand. Supporting data, which are climate, geomorphology, soil, and socio-economic,rnwere collected and included in the model. The procedure of RADARSAT imageryrnpreprocessing include data input, image enhancement, image geometric correction, specklernnoise filtering and image mosaic. The rainfed rice areas were derived from multi-temporal datarnusing visual interpretation. For this analysis, optimal time for data acquisition during rainfed ricernarea period needed to be identified. Ground truth data were collected simultaneously with thernRADARSAT observations. Then, rice production simulation model was employed to estimaternrice yield in each site.rnThis paper deals with the results obtained from this research, we found that the total rainfedrnrice area of Chiang Rai using imagery acquired on 14, 21 September 2003, 4, 21 August 2003,rnand 4, 11 July 2003 was 304,393 hectares; Surin using imagery acquired on 8, 15 July 2003, 1, 8rnAugust 2003, and 6, 23 December 2003 was 302,968 hectares; Nakhon Si Thamarat usingrnimagery acquired on 4, 11 September 2003, 15, 22 November 2003, and 9, 26 January 2003 wasrn60,703 hectares; Nakhon Nayok using imagery acquired on 28 September 2003, 29 Octoberrn2003, and 16 December 2003 was 100,688 hectares. Then, the accuracy of image interpretationrnwas verified using a Simple Random Sampling. It was revealed that the accuracy of rice arearnestimation in Chiangrai, Surin, Nakhon Si thamarat and Nakhon Nayok province werernrespectively 84, 84, 83, 82 percent accurate. The results of rice yield estimation on each siternshowed that Chiangrai has rice yield of 467.45 yield/rai, Surin 343.8, Nakhon Si Thamaratrn326.46, Nakhon Nayok 354.91 yield/rai.
机译:雷达卫星数据在各种应用中具有巨大的潜力。为了利用雷达数据,多时相RADARSAT C-HH图像被用于提取水稻田信息。雨养稻米地区地图通常在图像接收时间方面有局限性,特别是在雨季。雷达图像之所以有效,是因为雷达波长可以穿透云层,阴霾和雨水。这项研究的目的是将RADARSAT图像和地理信息数据应用到雨养稻田的监测中,并通过GIS建模估算稻米的产量。在四个测试地点进行了现场调查,以验证模型的结果。四个测试地点分别是清莱,素林,那空西他玛拉府和那空那育;它们之所以被选中,是因为它们代表了泰国四个地区不同的水稻管理实践。收集了气候,地貌,土壤和社会经济方面的支持数据,并将其包含在模型中。 RADARSAT图像预处理的过程包括数据输入,图像增强,图像几何​​校正,斑点噪声滤波和图像镶嵌。雨养稻米地区是通过视觉解释从多时相数据得出的。对于此分析,需要确定雨养稻米时期的数据采集的最佳时间。地面真相数据与RADARSAT观测同时收集。然后,利用水稻生产模拟模型估算每个站点的水稻产量。本文针对这项研究的结果,我们利用2003年9月14日,21日,8月21日和8月21日获得的图像发现清莱的总降雨地区2003年7月11日至2003年7月4日为304,393公顷;素林使用2003年7月8日,15日,2003年8月1日,8日和2003年12月23日获得的图像为302,968公顷; Nakhon Si Thamarat使用2003年9月4日,11日,2003年11月15日,22日和2003年1月26日购得的图像,总面积为60703公顷;那空那育(Nakhon Nayok)使用2003年9月28日,2003年10月29日和2003年12月16日获得的图像,共100,688公顷。然后,使用简单随机抽样验证了图像解释的准确性。结果表明,清莱,素林,那空是塔玛拉府和那空那育府的大米准确率分别为84%,84%,83%和82%。每个站点的稻米产量估算结果表明,清莱的稻米产量为每rai 467.45,Surin 343.8,Nakhon Si Thamaratrn326.46,Nakhon Nayok稻田354.91。

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