首页> 外文会议>2011 19th 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
【24h】

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时间序列和多时相HJ CCD图像的江苏省冬小麦面积提取与估算

获取原文
获取外文期刊封面目录资料

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:利用HJ多时相影像和MODIS-VI时间序列,提出了江苏省冬小麦的提取与估算模型。 EVI系列中呈现的冬小麦代表性物候日历特征的说明被用作最佳指标。结合野外调查,描述了HJ EVI和NDVI特征,并获得并验证了典型研究区域的冬小麦面积。选择表现出关键物候特征的几种EVI场景,然后在MODIS EVI和作物种植面积百分比之间建立定量函数。 HJ图像中的冬小麦提取结果用于样本选择和系数计算。使用该模型提取并计算了全省的冬小麦。估计精度由收集的官方统计数据评估。改进后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。

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