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基于NDVI的2017 年阿根廷大豆分布及长势数据分析
投稿时间:2017-08-23    点此下载全文
引用本文:孙 伟 张 峭 齐亚楠 窦红涛.基于NDVI的2017 年阿根廷大豆分布及长势数据分析[J].中国科技资源导刊,2017,(6):66~75
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作者单位
孙 伟 张 峭 齐亚楠 窦红涛 1. 中国农业科学院农业信息研究所\ 农业部农业大数据重点实验室北京 100081 2. 中国人民大学环境学院北京 100872 
基金项目:中国农业科学院科技创新工程“全球典型农作物生产遥感监测与风险评估”(CAAS-ASTIP-2016-AII);科技基础性 工作专项重点项目“科技基础性工作数据资料集成与规范化整编”(2013FY110900)。
中文摘要:采用遥感手段提取作物分布并监测其长势对动态感知粮食安全具有重要意义。基于MODIS-NDVI产品,结 合阿根廷大豆物候特征,快速提取阿根廷大豆分布及长势情况,并使用农用地连片系数FCI校正由尺度效应造成的面积 失真。在此基础上,使用距平分析监测大豆长势,计算DSI指数监测干旱过程。结果表明:提取的近3年阿根廷大豆种 植面积与美国农业部公布数据变化趋势一致,主产区种植比例高度吻合。2017年阿根廷大豆整体长势较差,副产区长 势优于主产区,各主产省种植空间分布呈现离散或聚集变化。大豆种植面积及分布、长势的变化与干旱过程在时间和 空间上具有高度耦合关系。提出的“物候匹配-LUCC降尺度作物提取法”具有准确快速的特点,通过改良和修正可用 于其他作物的有效提取与监测。
中文关键词:植被指数  大豆种植面积  长势监测  阿根廷  距平分析  干旱严重指数
 
Condition Analysis on NDVI-Based Soybean Spatial Distribution and Growth in Argentina 2017
Abstract:Timely grasp crop distribution and monitor its growth condition is of great significance to dynamic perception of food security. Based on the MODIS-NDVI product and the phonology characteristics of soybean in Argentina, we extract the distribution of soybean and monitor its growth condition, then use farmland contiguous index(FCI) to rectify the area distortion causing by scale effect. The result shows that the change trend of soybean planting area in Argentina for past three years is in line with the trend of data released by the USDA. The planting ratio in the main producing areas is also highly consistent with official data. The overall growth of soybean is poor than normal in 2017, and the soybean harvest area decrease than the past two years. The sub-region is better than the main producing area, and the spatial distribution of the main producing provinces presents a discrete or aggregated change. The soybean distribution and growth condition are highly coupled with the drought degree in time and space. In this study, the method named “phonological matching-LUCC downscaling crop extraction” is comparatively accurate and rapid, it is could be used for effective extraction of soybeans in other areas or other staple crop crops.
keywords:NDVI, crop growth monitoring, growth monitoring, Argentina, distance average analysis, DSI
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