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

页码：1149 / 1152

页数：4

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