中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 农业监测应用数据评价 农业工程学报 2003,19 (3) 149-152
Position: Home > Articles > Data assessment for agricultural monitoring applications Transactions of the Chinese Society of Agricultural Engineering 2003,19 (3) 149-152

农业监测应用数据评价

作  者：
张前进;范锦龙;卢艳霞;张振世;尤飞
单  位：
中国科学院遥感应用研究所;中国土地勘测规划院;中国科学院地理科学与资源研究所;北京师范大学
关键词：
ASTER;遥感;农业监测;地物识别;面积量测
摘  要：
1999年成功发射的地球观测系统的第 1个卫星 Terra上搭载着先进星载热辐射与反射测量仪 A STER,其数据在可见光、近红外区的 3个波段的空间分辨率为 15 m ,具有与 L andsat7ETM数据相似的波段特征。由于 ASTER数据价格低廉 ,将可能广泛应用于农业监测。该文以 ETM融合图像为基准 ,从几何纠正精度、典型地物识别、地物面积量测、影像分类解译 4个关键环节对 ASTER数据进行了校验。结果表明 ,A STER数据可以实现高精度的几何纠正 ,图像质量优于 ETM融合图像 ,A STER数据能够表达细小地物的纹理细节 ,更适合于地物的目视识别 ,ASTER图像内部几何畸变较小或较一致 ,量算地物面积准确 ,ASTER数据分类解译具有与 ETM一样的效果 ,精度较高 ,是农业监测的又一个重要数据源。
译  名：
Data assessment for agricultural monitoring applications
作  者：
Zhang Qianjin 1,2 , Fan Jinglong 1, Lu Yanxia 3, Zhang Zhengshi 4, You Fei 5 (1. Institute of Remote Sensing Applications, Chinese Academy Sciences, Beijing 100101, China; 2. Shanxi Agricultural University, Shanxi Taigu 030801, China; 3. China Land Surveying and Planning Institute, Beijing 100029, China; 4. Beijing Normal University, Beijing 100085, China; 5. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy Sciences, Beijing 100101, China)
关键词：
ASTER; remote sensing; agricultural monitoring; surface feature identification; area measurement
摘  要：
The first Earth Observing System(EOS) satellite called Terra was launched in 1999. ASTER is one of the five state of the art instrument sensor systems on board Terra with 3 bands of 15m spatial resolution in the visible near infrared wavelength regions. These three bands have the same spectral zones as Landsat7 ETM. ASTER data will be more and more used to monitoring agriculture for low price in the future. This paper tests the performance of ASTER data in the aspects of geometric correction, typical surface features identification, land target area measurement, image classification and interpretation, taking ETM merged image with pan band and multispectral bands as reference. The results show that ASTER image can be geometrically corrected with high accuracy, and it is better than ETM merged image. ASTER image records the small land targets in detail, which can be more suitable for recognition by eyes, and can be used for measuring land targets area with high accuracy. It has the same good performance as ETM image for image classification and interpretation. In a word, ASTER will be a newer and more important data source for agricultural monitoring applications.

相似文章

导出引用
计量
文章访问数: 13
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46