TERRASAR-X AND RADARSAT-2 FOR CROP CLASSIFICATION AND ACREAGE ESTIMATION

被引：16
|
作者：
McNairn, H. [1 ]
Shang, J. [1 ]
Champagne, C. [1 ]
Jiao, X. [1 ]
机构：
[1] Agr & Agri Food Canada, Ottawa, ON K1A 0C6, Canada
来源：
2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年
关键词：
TerraSAR-X; RADARSAT-2; crop classification;
D O I：
10.1109/IGARSS.2009.5418243
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
This research outlines a preliminary assessment of the use of TerraSAR-X data for classifying agricultural crop land in Canada. X-Band data were able to identify crops (pasture-forage, soybeans, corn and wheat) to accuracies of 95% once a post-classification filter was applied. These accuracies were achieved using six TerraSAR-X images from 2008 and a decision-tree classification algorithm. Acquisitions began only mid-season and consequently a second full season TerraSAR-X data set is being collected in 2009. C-Band classification accuracies were about 10% lower in comparison These results clearly demonstrate the potential of X-Band data for crop identification.
引用
收藏
页码：1149 / 1152
页数：4
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