Rice identification using TerraSAR-X data

被引：0

作者：

Guo, Lin ^{[1
]}

Pei, Zhiyuan ^{[1
]}

Zhang, Songling ^{[1
]}

Wang, Qingfa ^{[1
]}

McNairn, Heather ^{[2
]}

Shang, Jiali ^{[2
]}

Jiao, Xianfeng ^{[2
]}

机构：

[1] Chinese Acad Agr Engn, Minist Agr China, Beijing, Peoples R China

[2] Agr & AgriFood Canada, Res Branch, Ottawa, ON, Canada

来源：

REMOTE SENSING OF THE ENVIRONMENT: THE 17TH CHINA CONFERENCE ON REMOTE SENSING | 2011年 / 8203卷

关键词：

Multi-temporal; TerraSAR-X; Rice; Identification;

D O I：

10.1117/12.910396

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Most of China's rice production is located in the southern provinces of the country where frequent cloudy conditions hinder the successful acquisition of optical imagery. Small field sizes and complex planting patterns pose additional challenges to crop mapping using remote sensing approaches. High resolution radar data are most suitable for operational monitoring of crops in this region of China. In this study, the suitability of high-resolution TerraSAR-X StripMap data (6 m resolution) for identification of rice was investigated for a site in Xuwen, Guangdong Province, China. An integrated decision tree and object-oriented classification approach was used. The results showed that higher rice identification accuracies can be obtained using multi-temporal TerraSAR-X data at the tillering, jointing and flowering periods. Both the VV and VH polarizations provided accurate rice identification.

引用

页数：7

共 50 条

[1] Rice identification and change detection using TerraSAR-X data
Pei, Zhiyuan
Zhang, Songling
Guo, Lin
McNairn, Heather
Shang, Jiali
Jiao, Xianfeng
[J]. CANADIAN JOURNAL OF REMOTE SENSING, 2011, 37 (01) : 151 - 156
[2] Monitoring Rice Growth in Southern China Using TerraSAR-X Dual Polarization Data
Chen Jinsong
Han Yu
Deng Xinping
[J]. 2017 6TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS, 2017, : 421 - 423
[3] Sea state measurements using TerraSAR-X data
Bruck, M.
Lehner, S.
[J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII, 2012, 8536
[4] SEA STATE MEASUREMENTS USING TERRASAR-X DATA
Bruck, Miguel
Lehner, Susanne
[J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 7609 - 7612
[5] The detection of snow avalanches using TerraSAR-X data
Wendleder, Anna
Lanzenberger, Toni
Schmitt, Andreas
[J]. 13TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR, EUSAR 2021, 2021, : 492 - 495
[6] CHANGE ANALYSIS WITH TERRASAR-X DATA
Weihing, D.
von Poncet, F.
Schlund, M.
Lang, O.
[J]. 100 YEARS ISPRS ADVANCING REMOTE SENSING SCIENCE, PT 2, 2010, 38 : 644 - 647
[7] TerraSAR-X
Bernardini, Fabrizio
[J]. GEOMEDIA, 2007, 11 (03) : 60 - 61
[8] Interpretability of TerraSAR-X fused data
Rosso, Pablo H.
Ehlers, Manfred
Klonus, Sascha
[J]. REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY IX, 2009, 7478
[9] Coastal wave field extraction using TerraSAR-X data
Bruck, Miguel
Lehner, Susanne
[J]. JOURNAL OF APPLIED REMOTE SENSING, 2013, 7
[10] ESTIMATING TSUNAMI INUNDATION DEPTH USING TERRASAR-X DATA
Gokon, Hideomi
Koshimura, Shunichi
Meguro, Kimiro
[J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 4845 - 4848

← 1 2 3 4 5 →