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遥感技术与应用  2015, Vol. 30 Issue (1): 43-49    DOI: 10.11873/j.issn.1004-0323.2015.1.0043
遥感应用     
基于SAR与Landsat TM的小区域稻田的识别研究—以南京市江宁区为例
张细燕1,2,何隆华1
 (1.中国科学院南京地理与湖泊研究所,江苏 南京210008;
2.中国科学院大学,北京100049)
Study on Paddy Identification in Jiangning District based on SAR and Landsat TM Data
Zhang Xiyan1,2,He Longhua1
 全文: PDF(1726 KB)  
摘要:

以南京市江宁区为研究区域,根据区域特征、作物物候期和水稻的生长特点,采用分层分类的方法提取稻田分布信息。通过比较多时相SAR数据、TM和多时相SAR融合与TM和单时相SAR融合数据识别水稻的精度和提取的水稻种植面积,分析了不同数据对区域多云雨,不同种植方式、面积小且分布破碎的水稻稻田的识别程度,并根据野外实地走访调查分析了主要影响因素。结果表明:多时相SAR数据、TM和多时相SAR数据的水稻识别精度都高于72%,高于TM和单时相SAR融合数据的结果;前两者提取的水稻种植面积和稻田分布接近,主要影响因素是地物分布、不同种植方式水稻物候期和水稻稻田面积小且分布破碎。

关键词: 水稻识别分层分类SARTM融合    
Abstract:

The objective of this study was to estimate the area planted with paddy in Jiangning district of Nanjing City,Jiangsu Province.In order to study the paddy identification in rainy and cloudy region where cropping rice was cultivated with the machine or sowed and distributed brokenly,this paper extracted the rice\|planted fields by using the method of hierarchical classification based on different data.The data involved multi\|temporal SAR data,the fusion data with TM and multi\|temporal SAR,and the fusion data with TM and single temporal SAR.Then we compared the results,including the accuracy and the area,and analyzed the reasons according to field investigation.The result showed that the accuracy of paddy identification of multi\|temporal SAR or the fusion with TM and multi\|temporal SAR were not lower 72%,and higher than the fusion with TM and single temporal SAR;the both paddy\|planted area were close.The main factors were that feature distribution,paddy with the different planting patterns and broken distribution.

Key words: Paddy identification    Hierarchical classification    SAR    TM    Fusion
收稿日期: 2013-10-09 出版日期: 2015-03-11
:  TP 79  
基金资助:

国家自然科学基金项目(41271418)资助。

通讯作者: 何隆华(1966-),男,江苏南京人,博士,副研究员,主要从事遥感及其应用研究。Email:lhhe@niglas.ac.cn。    
作者简介: 张细燕(1987-),女,湖北鄂州人,硕士研究生,主要从事微波遥感及其应用研究。Email:xiyanzh@163.com。
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引用本文:

张细燕,何隆华. 基于SAR与Landsat TM的小区域稻田的识别研究—以南京市江宁区为例[J]. 遥感技术与应用, 2015, 30(1): 43-49.

Zhang Xiyan,He Longhua. Study on Paddy Identification in Jiangning District based on SAR and Landsat TM Data. Remote Sensing Technology and Application, 2015, 30(1): 43-49.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.1.0043        http://www.rsta.ac.cn/CN/Y2015/V30/I1/43

[1]Zhao Rui,Tang Junyou,He Longhua.A Discussion on Growing State Survey and Yield Estimation of Paddy in Jiangsu Province by Means of Remote Sensing[J].Remote Sensing for Land and Resources,2002,(3):9-11.[赵锐,汤君友,何隆华.江苏省水稻长势遥感监测与估产[J].国土资源遥感,2002,(3):9-11.]

[2]Xiao X,Boles S,Frolking S,et al.Mapping Paddy Rice Agriculture in South and Southeast Asia Using Multi-temporal MODIS Images[J].Remote Sensing of Environment,2006,100(1):95-113.

[3]Le T T,Ribbes F,Wang L F,et al.Rice Crop Mapping and Monitoring Using ERS-1 Data based on Experiment and Modeling Results[J].IEEE Transactions of Geoscience and Remote Sensing,1997,35(1):4l-56.

[4]Li Kun,Shao Yun,Zhang Fengli.Extraction of Rice based on Quad-polarization Radarsat-2 Data[J].Remote Sensing Technology and Application,2012,27(1):86-93.[李坤,邵芸,张风丽.基于 Radarsat-2全极化数据的水稻识别[J].遥感技术与应用,2012,27(1):86-93.]

[5]Dong Yanfang,Sun Guoqing,Pang Yong.Rice Monitoring based on Envisat ASAR Data[J].Science in China Ser.D:Earth Sciences,2005,35(7):682-689.[董彦芳,孙国清,庞勇.基于Envisat ASAR数据的水稻监测[J].中国科学D辑:地球科学,2005,35(7):682-689.]

[6]Shao Yun,Liao Jinjuan,Fan Xiangtao,et al.Analysis on Rice Backscatter Signatures in Time Domain:Comparison between Radarsat-SAR Observation and Simulated Model Results[J].Journal of Remote Sensing,2002,(6):440-450.[邵芸,廖静娟,范湘涛,等.水稻时域后向散射特性分析:雷达卫星观测与模型模拟结果对比[J].遥感学报,2002,(6):440-450.]

[7]Tan Bingxiang,Li Zengyuan,Li Bingbai,et al.Rice Field Mapping and Monitoring Using Single-temporal and Dual polarized Envisat ASAR Data[J].Transactions of the Chinese Society of Agriculture Engineering,2006,22(12):121-127.[谭炳香,李增元,李秉柏,等.单时相双极化Envisat ASAR数据水稻识别[J].农业工程学报,2006,22(12):121-127.]

[8]Tian Xin,Chen Erxue,Li Zengyuan,et al.Rice/Dry-land Crop Discrimination Using Multi-polarization Satellite SAR Data—A Case Study in Hai’an County of Jiangsu Province[J].Remote Sensing Technology and Application,2012,27(3):406-412.[田昕,陈尔学,李增元,等.基于多极化星载SAR数据的水稻/旱田识别——以江苏省海安县为例[J].遥感技术与应用,2012,27(3):406-412.]

[9]Yang Shenbin.Study on Rice Mapping and Rice Yield Estimation based on ASAR Data[D].Nanjing:Nanjing University of Information Science& Technology,2008.[杨沈斌.基于ASAR数据的水稻制图与水稻估产研究[D].南京:南京信息工程大学,2008.]〖JP〗

[10]Shao Y,Fan X T,Liu H,et al.Rice Monitoring and Production Estimation Using Multitemporal Radarsat[J].Remote Sensing of Environment,2001,76:3l0-325.

[11]Zhang Yuan.Acreage Extraction and Biomass Estimation of Paddy Rice based on Microwave Remote Sensing and Methane Emissions Simulation from Paddy Fields[D].Hangzhou:Zhejiang University,2009.[张远.微波水稻种植面积提取—生物量反演与稻田甲烷排放模拟[D].杭州:浙江大学,2009.]

[12]Daily M I,Farr T,Elachi C,et al.Geologic Interpretation from Composited Radar and Landsat Imagery[J].Photogrammetric Engineering and Remote Sensing,1979,45 (8):1109-1116.

[13]Champatiray P K,Roy A K,Prabhakaran B.Evaluation and Integration of ERS-1-SAR and Optical Sensor Data (TM and IRS) for Geological Investigations[J].Journal of the Indian Society of Remote Sensing,1995,23(2):77-86.

[14]Guo Guangmeng,Cao Yungang,Ma Long.Introduction to ENVISAT-ASAR Data Processing[J].Remote Sensing Information,2006,(4):61-63.[郭广猛,曹云刚,马龙.ENVISAT-ASAR数据处理介绍[J].遥感信息,2006,(4):61-63.]

[15]Wu W,Bu L,Ji Y.Application of TM and SAR Images Fusion for Land Monitoring in Coal Mining Areas[C]//The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2008.

[16]Zhang Hailong,Jiang Jianjun,Wu Hongan.The BP Neural Network Classification based on the Fusion of SAR and TM Images[J].Acta Geodaetica et Cartographica Sinica,2006,3(35):229-239.[张海龙,蒋建军,吴宏安,等.SAR与TM 影像融合及在BP神经网络分类中的应用[J].测绘学报,2006,3(35):229-239.]

[17]Nanjing Statistical Bureau.Statistical Yearbook of Nanjing[Z].Nanjing:Nanjing Publishing House,2008.[南京市统计局.南京统计年鉴[Z].南京:南京出版社,2008.]

[18]Laben C A,Brower B V.Process for Enhancing the Spatial Resolution of Multispectral Imagery Using Pan-sharpening:United States Patent 6,011,875[P].2000-1-4.

 [19]Aiazzi B,Baronti S,Selva M,et al.Enhanced Gram-Schmidt Spectral Sharpening based on Multivariate Regression of MS and Pan Data[C]//IEEE International Geoscience and Remote Sensing Symposium,2006:3806-3809.

[20]Zhang Yunbo.Methods for Rice Plant Identification and Sown Area Measure Using ASAR Data——A Case Study on Baoying County[D].Nanjing:Nanjing Agricultural University,2004.[张云柏.ASAR影像应用于水稻识别和面积测算研究—以江苏宝应县为例[D].南京:南京农业大学,2004.]

[21]Yang Shenbin,Shen Shuanghe,Zhang Pingping,et al.Mapping Rice Paddy with Multi-temporal ENVISAT ASAR Wide-Swath Images[J].Journal of Nanjing Institute of Meteorology,2007,30(3):365-370.[杨沈斌,申双和,张萍萍,等.ENVISAT ASAR数据用于大区域稻田识别研究[J].南京气象学院学报,2007,30(3):365-370.]


 

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