首页> 外文会议>International Society for Photogrammetry and Remote Sensing Bhopal Workshop Earth Observation for Terrestrial Ecosystem >FEATURES OF TERRA MOD11A2DAY IN OPERATIONAL FORECASTOF GRAIN CROPS YIELD IN KAZAKHSTAN WITH AN 8 DAY RENEWAL
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FEATURES OF TERRA MOD11A2DAY IN OPERATIONAL FORECASTOF GRAIN CROPS YIELD IN KAZAKHSTAN WITH AN 8 DAY RENEWAL

机译:Terra Mod11a2day在哈萨克斯坦的谷物作物饲养厂房运营预测中的特点及8天更新

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The Kazakhstan, with export capacity of 6-8 million tons, is one of the largest wheat exporter in the world. About 16 million hectares of unirrigated land is used for monocultural cultivation of cereals (wheat and barley). Most of the cropland is located in the ste ppe and forest steppe zone. The moisture deficit limits the crop productivity and creates a strong dependency of its state of the moisture con ditions during vegetation season. In Kazakhstan, the average grain yield variations are sufficiently large, from 0.9 (2010) to 1.4 tonha (2007). Given the high volatility of the gross grain harvest and export potential, respectively, methods of early satellite forecast of grain yield with high frequency of the renewal are of the great interest. In Kazakhstan, the variations in the weather growing season determine the yield of grain crops. By significant weather paramete rs include: the spring soil moisture, humidity and air temperature, rainfall, and several others. Plants respond to the sum of all parameters through the volume of green biomass. The regional cereal state can be estimated from satellite vegetation indices, which are pa rticularly informative in the period of its seasonal peak. Another satellite parameter closely related to humidity conditions may be the l and surface temperature (LST). Product USGS: TERRA MOD11A2DAY represents the 8-days LST composite was tested in the task of estimating of arable lands temperature in Northern Kazakhstan. The description of the temperature conditions of the growing season based on the temperatur e calibrated index (TCI), which was introduced by Kogan. TCI provides a weighted assessment of the current LST on a scale of 0-100, where 0 - the lowest, respectively, 100 as a high temperature, recorded during the observation period at a given location at a given time window. The monitoring period included 2004-2010 years. During the beginning of the growing season was taken on April 15, seaso n end on 20 August - ripeness stage of wheat. It was analyzed the two largest agriculture provinces - Akmola and Kostanay with a total cropland size is about 9 million hecta res. The size of cultivated areas in Akmola and Kostanay areas during 2004-2010 has undergone a substantial increase, from 6.7 million hectares in 2004 to 8.9 million hectares in 2010. The temperature regime characterized by a weather component, and not depend on the land use type. Therefore, for the diagnosis of arable land in the period 2004-2010 was used a fixed mask, covering most major crop areas. Description of the temperature regime of arable land during the growing season (April 15-August 20) has the form of TCI time se ries which consists of 15 values (8 day period of renewal). The time window of each of the 15 assessments began on April 15 and ended up floating-date with progressive increments in 8 days. Accordingly, the last value of TCI, reflecting a weighted temperature thro ughout the analyzed part of the growing season (April 15-August 20). last value of TCI has a good correlation with the official cereal yie ld, R2 = 0,98 for Akmola, R2 = 0,90 for Kostanay oblast. These values are higher than the correlation between seasonal maximum NDVI (TERRA MOD13Q1, 187-203 days) and yield of grain crops, which accounted for R2 = 0,85 Akmola, and R2 = 0,73 for Kostanay oblast. Scheme of the operative forecast grain yields was based on estimates of the temperature dynamics of arable land current year in comparison with the conditions of the past ones. The closest temperature regimes of previous years, in linear proportion to the degree of closeness to the current year, created a synthetic year-analogue. Yield, the year-analogue consisted of proportionate share of the yield components of its past. The magnitude of this yield, calculated as 15 times a season, forms the operational forecast with 8-day period of renewal. Thus, the TCI based on TERRA / MOD11A2DAY on informative in assessing the ceeral condition in Northern
机译:哈萨克斯坦,出口能力为6-800万吨,是世界上最大的小麦出口商之一。大约1600万公顷的未剪枪土地用于谷物(小麦和大麦)的单组织培养。大多数农田都位于STE PPE和森林草原区。水分缺陷限制了作物生产力,并在植被季节期间产生了水分凝固状态的强烈依赖。在哈萨克斯坦,平均谷物产量变化足够大,从0.9(2010)到1.4吨(2007)。鉴于总谷物收获和出口潜力的高波动性分别,早期卫星预测的早期卫星预测具有高频率的较高频率较大。在哈萨克斯坦,天气生长季节的变化决定了粮食作物的产量。通过重要的天气参数卢比包括:泉水水分,湿度和空气温度,降雨和其他几个。植物通过绿色生物质的体积响应所有参数的总和。区域谷物国家可以从卫星植被指数估计,这是季节性峰时期的帕特里克利信息。另一个与湿度条件密切相关的卫星参数可以是L和表面温度(LST)。产品USGS:Terra Mod11a2day代表8天的LST综合在哈萨克斯坦北部耕地温度的估算任务中进行了测试。基于温柔E校准指数(TCI)的生长季节的温度条件的描述,由Kogan引入。 TCI在0-100的等级提供当前LST的加权评估,其中0 - 在给定时间窗口的给定位置处的观察时间期间记录的最低温度为100。监测期包括2004 - 2010年。在日益增长的季节开始于4月15日,Seaso N结束于8月20日 - 小麦的成熟阶段。分析了两大农业省份 - Akmola和Kostanay,总耕地大约为900万张。 2004 - 2010年的Akmola和Kostanay地区的耕地面积的大小经历了大幅增加,从2004年的670万公顷到2010年的890万公顷。温度制度以天气成分为特征,而不是依赖于土地使用类型。因此,在2004 - 2010年期间均为耕地的诊断,使用固定面膜,覆盖大多数主要作物区域。在生长季节(4月15日至8月20日)中,耕地温度制度的描述具有TCI时间SE的形式,该条件由15个值(更新8天)组成。 15个评估中每一个的时间窗口于4月15日开始,并在8天内以逐步增量最终浮动日期。因此,TCI的最后一个值,反映了加权温度,通过分析的季节(4月15日至8月20日)。 TCI的最后一个值与Akmola的官方麦片yie ld,r2 = 0,98的r2 = 0,98来说,R2 = 0.90用于Kostanay Oblast。这些值高于季节性最大NDVI(Terra Mod13Q1,187-203天)和谷物作物产量之间的相关性,其占R2 = 0.85Akmola,R2 = 0.73用于Kostanay Oblast。可操作的预测粮食产量的计划是基于与过去的条件相比的耕地当前年度的温度动态的估计值。前几年的最近的温度制度,以当前年度的接近程度为线性比例,创造了一种合成的年份模拟。产量,年类似物组成,由其过去的产量组分的比例份额组成。这一收益率的幅度计算为每赛季15次,形成了8天更新的运营预测。因此,基于TERRA / MOD11A2DADY关于评估北部交通状况的TCI

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