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首页> 外文会议>International Conference on Geoinformatics >Winter Wheat Area Extraction and Estimation Based on MODIS-VI Time Series and Multi-temporal HJ CCD Images in Jiangsu Province, China
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Winter Wheat Area Extraction and Estimation Based on MODIS-VI Time Series and Multi-temporal HJ CCD Images in Jiangsu Province, China

机译：基于Modis-VI时间序列的冬小麦区域提取与估计，江苏省江苏省多临时HJ CCD图像

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摘要

This paper proposed a winter wheat extraction and estimation model for Jiangsu province, China, using HJ multi temporal images and MODIS-VI time series. The illustrations of winter wheat's representative phenological calendar features presented on EVI series are taken as optimal indicators. Combined with field surveys, HJ EVI and NDVI features are depicted, and winter wheat area on typical research area are obtained and verified. Several EVI scenes which behaved critical phenological features are chosen, and then a quantitative function between the MODIS EVI and crop planted area percentage is constructed. Winter wheat extraction result from HJ images is used for the sample selection and coefficients calculation. The winter wheat for the whole province is extracted and calculated using the model. Estimation precision is evaluated by the official statistic data collected. The improved high precision shows the effectiveness of the model and confirms the advantage of the two image types' combination.
机译：本文提出了中国江苏省冬小麦提取和估算模型，采用HJ多时间图像和MODIS-VI时间序列。 EVI系列上呈现的冬小麦代表性纯粹历程特征的插图被视为最佳指标。结合现场调查，描述了HJ EVI和NDVI功能，获得典型研究区域的冬小麦区域并验证。选择特征关键候选特征的几个EVI场景，然后构建了Modis EVI和作物种植面积百分比之间的定量功能。 HJ图像的冬季小麦提取结果用于样品选择和系数计算。全省冬小麦采用该模型提取和计算。估计精度由收集的官方统计数据进行评估。改进的高精度显示了模型的有效性，并确认了两种图像类型组合的优势。

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