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RICE CROP MONITORING USING SENTINEL-1 C-BAND DATA

机译:使用Sentinel-1 C波段数据进行稻米作物监控

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摘要

Among the cereal grains, rice is staple food for ½ of the world population. In Asian countries as population increases, the demand for rice also increases. For this future demand rice, biophysical variables are monitored for agricultural management and yield prediction using space borne satellite platform. While in satellite remote sensing there are numerous trouble in mapping and monitoring rice field, particularly in multi season paddy in rainy season, incorporating the changes in crop phenology, the impact of climate and farmland variability. To determine these issues Sentinel-1 was launched and provide opportunity to monitor rice crop, in 10 m spatial resolution, C-band, dual polarization image with 12 days revisit. A rice field in Kulithalai, Tamilnadu is utilized as examination. In this study Sentinel-1 data, which can recognize little vegetation difference at firmly found ground truth (GT) point. While observing the different growing stages of rice, the volume scattering segment proportion was increased though the surface scattering segment proportion for the most part diminished. During rice growing stages, surface scattering component ratio decreased, while volume scattering ratio will be increased. This study describes how multi temporal observation by SAR has extent capacity for estimating rice growing land and monitoring growing stages and also interpret σ0VV and σ0VH back scattering co-efficient. These are examined by knowing crop parameters like leaf area index, plant height, no. of panicle/m2 and no. of grains/m2.
机译:在谷物中,米为世界人口的1/2粒子。在亚洲国家随着人口的增加而言,对大米的需求也增加了。对于这个未来的需求稻米,使用空间卫星平台监测农业管理和产量预测的生物物理变量。虽然在卫星遥感中,在雨季的多季稻田中,在雨季的多季稻田中有很多麻烦,纳入作物候选的变化,气候和农田的影响。为了确定这些问题,发布了Sentinel-1,并提供了监控稻田,在10米空间分辨率,C波段,双偏振图像中监测稻田的机会,12天重新审视。坦尔纳德岛的稻田,塔米尔纳德邦被用作考试。在本研究中,Sentinel-1数据,可以识别牢固地发现的基础真理(GT)点的小植被差异。在观察水稻的不同阶段的同时,虽然表面散射段比例大部分减少,但体积散射段比例增加。在水稻生长阶段期间,表面散射部件比降低,而体积散射比率将增加。本研究描述了SAR的多时间观察有多大的时间观察,估计水稻生长土地和监测生长阶段的能力,也可以解释Σ0VV和Σ0VH后散射散射共同效率。通过了解叶面积指数,植物高度,植物高度,没有,通过了解这些作物参数来检查这些。胰腺/ m2和no。谷物/ m2。

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