• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Agro-geoinformatics >Agricultural Farming Can Play a Role in Assessing the Syrian Crisis Based on the Two River Basins in Syria
【24h】

Agricultural Farming Can Play a Role in Assessing the Syrian Crisis Based on the Two River Basins in Syria

机译：农业农业可以在评估基于叙利亚两条河流盆地的叙利亚危机方面发挥作用

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Since from 2011 when the Syrian Civil War broke out, at least 470,000 people have died (with 1.9 million wounded). In March 2015, Al Jazeera estimated 10.9 million Syrians or almost half the population who have been displaced which has been one of the most severe humanitarian disasters since World War II. Therefore, it is difficult to monitor humanitarian conditions in Syria during the war. Remotely sensed imagery which can record Earth’ s surface information from outer space has been proved to be an efficient and objective data source for evaluating armed conflicts. This paper uses Syria two river basins as research areas. Based on the spatial and temporal scales of the study and the complex characteristics of the crop planting structure in Syria, the region has a total of 12 remote sensing images for 19 months between 2010 and 2017 with 456 remote sensing images. The selected TM/OLI image is selected as a suitable data source for the study. Here, 50 km of two river basins and 5 remote sensing images of each month are intercepted, and a total of 120 remote sensing images are taken to process. Combining crop phenology information, using time series NDVI curves, and comparing the similarity of the NDVI time series curve with the reference time series curve of the to-be-segmented pixels, we established the rules and object-oriented classification method to extract the crop planting structure information of Syria and the two river basins between 2010 and 2017. These include mainly crops of sugar beet, cotton, wheat, and orchards, and analyze the impact of the war on changes in the crop planting structure. The main findings and characteristics are as following:(1)When the ground survey sample cannot be obtained, establishing a rule through the existing crop growth process to select crops whose growth process values are in full compliance with the sample, and establishing reference NDVI time series curves of various crops for object-oriented classification.(2)The experimental results show that during the civil war between the two river basins in Syria during the period from 2010 to 2017, large areas of farmland were abandoned, beet, cotton, wheat, and fruit trees were caused by reduced, and crop yields were reduced by 1/2. The are a of abandoned farmland duringthe Civil War is an important indicator of immigration, death, and trauma. This also explains the great damage caused by the war.(3)The range and total area of crops in Syria and the total area extracted from remote sensing imagery in 2010 are similar to those of survey data. This shows that it is feasible to extract Syria's 2017 crop distribution in accordance with the above-mentioned method and ensure the reliability of the results with authe nticity.
机译：自从2011年从叙利亚内战爆发后，至少有47万人死亡（带有190万人受伤）。 2015年3月，Al Jazeera估计1090万叙利亚人或几乎一半的人口被流离失所，这是自第二次世界大战以来最严重的人道主义灾害之一。因此，在战争期间难以监测叙利亚的人道主义条件。遥感图像可以被证明是从外层空间录制地球表面信息，是评估武装冲突的有效和客观的数据源。本文使用叙利亚两河盆地作为研究领域。基于研究的空间和时间尺度和叙利亚作物种植结构的复杂特征，该地区共有12个遥感图像，2010年和2017年之间有456个遥感图像。选择所选择的TM / OLI图像作为研究的合适数据源。在这里，距离50公里的河流和5个遥感图像的每个月被截获，总共采取了120个遥感图像。结合作物候选信息，使用时间序列NDVI曲线，并将NDVI时间曲线的相似性与待分段像素的参考时间序列曲线进行比较，我们建立了规则和面向对象的分类方法来提取裁剪2010年至2017年叙利亚的种植结构信息和两条河流盆地。这些主要包括甜菜，棉花，小麦和果园的作物，并分析了战争对作物种植结构变化的影响。主要发现和特点如下：（1）当无法获得地面调查样本时，通过现有的作物生长过程建立规则，选择生长过程值完全符合样本的作物，并建立参考NDVI时间面向对象分类的各种作物的系列曲线。（2）实验结果表明，在2010年至2017年的两次叙利亚河流域内的内战期间，大面积的农田被遗弃，甜菜，棉花，小麦并且通过减少引起的果树，并且作物产量减少了1/2。在内战期间，废弃的农田是一个重要的移民，死亡和创伤的重要指标。这也解释了战争造成的巨大损害。（3）叙利亚作物的范围和总面积和2010年从遥感图像中提取的总面积类似于调查数据。这表明根据上述方法提取叙利亚2017年作物分布是可行的，并确保结果与Authe NTICITY的可靠性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号