基于多源数据融合模型的水稻面积提取
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摘要
中高空间分辨率影像数据缺失是高空间分辨率作物空间分布提取的主要限制因素,针对部分地区的中高空间分辨率遥感影像缺失使得作物提取的关键生育期无卫星覆盖的问题,提出了一种基于模糊C聚类算法的多源遥感植被指数数据融合方法,融合Landsat和MODIS数据生成高时空分辨率的植被指数数据,对融合生成的多时相植被指数数据进行聚类后获取各类的时序植被指数曲线。通过与水稻标准时序植被指数曲线进行光谱相似性分析来提取水稻的空间分布。经测试表明,该方法能够获得相对较高的精度,可应用于中高分辨率遥感数据缺失地区的高空间分辨率作物空间分布信息提取。
The absence of medium and high spatial resolution image data is the main limiting factor for extraction of spatial distribution of crops with high spatial resolution. A multi-source remote sensing vegetation index data fusion model based on fuzzy C-clustering algorithm was proposed to solve the problem of no satellite image data coverage in the critical growth period of crop extraction,and it was used to generate vegetation index data with high temporal and spatial resolution by combining Landsat with MODIS vegetation index data. Standard series EVI curve was obtained by ground sample,and the fuzzy C-clustering algorithm was used to classify the vegetation index data generated by the data fusion model into several classes,and series EVI curve of each classes was obtained by using the average value of each class as the class value. The spatial distribution of rice was extracted by spectral correlation similarity analysis of standard series EVI curve and class series curve. Accuracy of the method was tested by Google Earth image and ground sample,and the accuracy were 0. 92 and 0. 94,respectively,thus it was thought that the method can get relatively high accuracy. The method can be applied to extract the spatial distribution information of crops that had high spatial resolution in the areas of lacking high resolution remote sensing image data. And the multi-source remote sensing vegetation index data fusion models can be used to generate vegetation index data with high spatial and temporal resolution.
The absence of medium and high spatial resolution image data is the main limiting factor for extraction of spatial distribution of crops with high spatial resolution. A multi-source remote sensing vegetation index data fusion model based on fuzzy C-clustering algorithm was proposed to solve the problem of no satellite image data coverage in the critical growth period of crop extraction,and it was used to generate vegetation index data with high temporal and spatial resolution by combining Landsat with MODIS vegetation index data. Standard series EVI curve was obtained by ground sample,and the fuzzy C-clustering algorithm was used to classify the vegetation index data generated by the data fusion model into several classes,and series EVI curve of each classes was obtained by using the average value of each class as the class value. The spatial distribution of rice was extracted by spectral correlation similarity analysis of standard series EVI curve and class series curve. Accuracy of the method was tested by Google Earth image and ground sample,and the accuracy were 0. 92 and 0. 94,respectively,thus it was thought that the method can get relatively high accuracy. The method can be applied to extract the spatial distribution information of crops that had high spatial resolution in the areas of lacking high resolution remote sensing image data. And the multi-source remote sensing vegetation index data fusion models can be used to generate vegetation index data with high spatial and temporal resolution.
引文
1张友水,原立峰,姚永慧.多时相MODIS影像水田信息提取研究[J].遥感学报,2007,11(2):282-288.ZHANG Youshui,YUAN Lifeng,YAO Yonghui.Study on extraction of paddy rice fields from multitemporal MODIS images[J].Journal of Remote Sensing,2007,11(2):282-288.(in Chinese)
2尚松浩,蒋磊,杨雨亭.基于遥感的农业用水效率评价方法研究进展[J/OL].农业机械学报,2015,46(10):81-92.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20151013&journal id=jcsam.DOI:10.6041/j.issn.1000-1298.2015.10.013.SHANG Songhao,JIANG Lei,YANG Yuting.Review of remote sensing-based assessment method for irrigation and crop water use efficiency[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(10):81-92.(in Chinese)
3顾晓鹤,潘耀忠,朱秀芳,等.MODIS与TM冬小麦种植面积遥感测量一致性研究---小区域实验研究[J].遥感学报,2007,11(3):350-358.GU Xiaohe,PAN Yaozhong,ZHU Xiufang,et al.Consistency study between MODIS and TM on winter wheat plant area monitoring-a case in small area[J].Journal of Remote Sensing,2007,11(3):350-358.(in Chinese)
4 OGURO Y,SUGA Y,TAKEUCHI S,et al.Monitoring of a rice field using Landsat-5 TM and Landsat-7 ETM+data[J].Advances in Space Research,2003,32(11):2223-2228.
5于文颖,冯锐,纪瑞鹏,等.基于MODIS数据的水稻种植面积提取研究进展[J].气象与环境学报,2011,27(2):56-61.YU Wenying,FENG Rui,JI Ruipeng,et al.Advances in rice planting area extraction technology based on MODIS data[J].Journal of Meteorology&Environment,2011,27(2):56-61.(in Chinese)
6 CHEN Y,SONG X,WANG S,et al.Impacts of spatial heterogeneity on crop area mapping in Canada using MODIS data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2016,119:451-461.
7邬明权,王洁,牛铮,等.融合MODIS与Landsat数据生成高时间分辨率Landsat数据[J].红外与毫米波学报,2012,31(1):80-84.WU Mingquan,WANG Jie,NIU Zheng,et al.A model for spatial and temporal data fusion[J].Journal of Infrared&Millimeter Waves,2012,31(1):80-84.(in Chinese)
8石月婵,杨贵军,李鑫川,等.融合多源遥感数据生成高时空分辨率数据的方法对比[J].红外与毫米波学报,2015,34(1):92-99.SHI Yuechan,YANG Guijun,LI Xinchuan,et al.Intercomparison of the different fusion methods for generating high spatialtemporal resolution data[J].Journal of Infrared and Millimeter Waves,2015,34(1):92-99.(in Chinese)
9 GAO F,MASEK J,SCHWALLER M,et al.On the blending of the Landsat and MODIS surface reflectance:predicting daily Landsat surface reflectance[J].IEEE Transaction on Geoscience and Remote Sensing,2006,44(8):2207-2218.
10 HILKER T,WULDER M A,COOPS N C,et al.A new data fusion model for high spatial-and temporal-resolution mapping of forest disturbance based on Landsat and MODIS[J].Remote Sensing of Environment,2009,113(8):1613-1627.
11 ZHU X,CHEN J,GAO F,et al.An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions[J].Remote Sensing of Environment,2010,114(11):2610-2623.
12李颖,刘荣花,郑东东.基于多源数据和决策树估算夏玉米种植面积[J].中国农业气象,2014,35(3):344-348.LI Ying,LIU Ronghua,ZHENG Dongdong.Summer maize planting area estimation based on multi-source data and decision tree[J].Chinese Journal of Agrometeorology,2014,35(3):344-348.(in Chinese)
13邬明权,王长耀,牛铮.利用多源时序遥感数据提取大范围水稻种植面积[J].农业工程学报,2010,26(7):240-244.WU Mingquan,Wang Changyao,NIU Zheng.Mapping paddy fields in large areas,based on time series multi-sensors data[J].Transactions of the CSAE,2010,26(7):240-244.(in Chinese)
14蔡学良,崔远来.基于异源多时相遥感数据提取灌区作物种植结构[J].农业工程学报,2009,25(8):124-130.CAI Xueliang,CUI Yuanlai.Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data[J].Transactions of the CSAE,2009,25(8):124-130.(in Chinese)
15 GUSSO A,DUCATI J R.Algorithm for soybean classification using medium resolution satellite images[J].Remote Sensing,2012,4(10):3127-3142.
16张荣群,王盛安,高万林,等.基于时序植被指数的县域作物遥感分类方法研究[J/OL].农业机械学报,2015,46(增刊):246-252.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=2015S040&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2015.S0.040.ZHANG Rongqun,WANG Sheng'an,GAO Wanlin,et al.Remote-sensing classification method of county-level agricultural crops using time-series NDVI[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(Supp.):246-252.(in Chinese)
17刘新圣,孙睿,武芳,等.利用MODIS-EVI时序数据对河南省土地覆盖进行分类[J].农业工程学报,2010,26(增刊):213-219.LIU Xinsheng,SUN Rui,WU Fang,et al.Land-cover classification for Henan Province with time-series MODIS EVI data[J].Transactions of the CSAE,2010,26(Supp.):213-219.(in Chinese)
18郝卫平,梅旭荣,蔡学良,等.基于多时相遥感影像的东北三省作物分布信息提取[J].农业工程学报,2011,27(1):201-207.HAO Weiping,MEI Xurong,CAI Xueliang,et al.Crop planting extraction based on multi-temporal remote sensing data in Northeast China[J].Transactions of the CSAE,2011,27(1):201-207.(in Chinese)
19陈思宁,赵艳霞,申双和.基于波谱分析技术的遥感作物分类方法[J].农业工程学报,2012,28(5):154-160.CHEN Sining,ZHAO Yanxia,SHEN Shuanghe.Crop classification by remote sensing based on spectral analysis[J].Transactions of the CSAE,2012,28(5):154-160.(in Chinese)
20张良培,沈焕锋.遥感数据融合的进展与前瞻[J].遥感学报,2016,20(5):1050-1061.ZHANG Liangpei,SHEN Huanfeng.Progress and future of remote sensing data fusion[J].Journal of Remote Sensing,2016,20(5):1050-1061.(in Chinese)
21 WU M Q,WU C Y,HUANG W J,et al.An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery[J].Information Fusion,2016,31:14-25.
22郭铌.植被指数及其研究进展[J].干旱气象,2003(4):71-75.GUO Ni.Vegetation index and its advances[J].Journal of Arid Meteorology,2003(4):71-75.(in Chinese)
23 LIU H Q,HUETE A.A feedback based modification of the NDVI to minimize canopy background and atmospheric noise[J].IEEE Transactions on Geoscience&Remote Sensing,1995,33(2):457-465.
24虞连玉,蔡焕杰,姚付启,等.植被指数反演冬小麦植被覆盖度的适用性研究[J/OL].农业机械学报,2015,46(1):231-239.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file no=20150133&flag=1.DOI:10.6041/j.issn.1000-1298.2015.01.033.YU Lianyu,CAI Huanjie,YAO Fuqi,et al.Applicability of vegetation indices to estimate fractional vegetation coverage[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):231-239.(in Chinese)
25 XIAO X M,BOLES S,FROIKING 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.
26 DONG J,XIAO X,MENARGUEZ M A,et al.Mapping paddy rice planting area in northeastern Asia with Landsat 8 images,phenology-based algorithm and Google Earth Engine[J].Remote Sensing of Environment,2016,185(SI):142-154.
27景元书,李根,黄文江.基于相似性分析及线性光谱混合模型的双季稻面积估算[J].农业工程学报,2013,29(2):177-183.JING Yuanshu,LI Gen,HUANG Wenjiang.Estimation of double cropping rice planting area using similar index and linear spectral mixture model[J].Transactions of the CSAE,2013,29(2):177-183.(in Chinese)
28吴炳方,许文波,孙明,等.高精度作物分布图制作[J].遥感学报,2004,8(6):688-695.WU Bingfang,XU Wenbo,SUN Ming,et al.Quick Bird imagery for crop pattern mapping[J].Journal of Remote Sensing,2004,8(6):688-695.(in Chinese)
2尚松浩,蒋磊,杨雨亭.基于遥感的农业用水效率评价方法研究进展[J/OL].农业机械学报,2015,46(10):81-92.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=20151013&journal id=jcsam.DOI:10.6041/j.issn.1000-1298.2015.10.013.SHANG Songhao,JIANG Lei,YANG Yuting.Review of remote sensing-based assessment method for irrigation and crop water use efficiency[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(10):81-92.(in Chinese)
3顾晓鹤,潘耀忠,朱秀芳,等.MODIS与TM冬小麦种植面积遥感测量一致性研究---小区域实验研究[J].遥感学报,2007,11(3):350-358.GU Xiaohe,PAN Yaozhong,ZHU Xiufang,et al.Consistency study between MODIS and TM on winter wheat plant area monitoring-a case in small area[J].Journal of Remote Sensing,2007,11(3):350-358.(in Chinese)
4 OGURO Y,SUGA Y,TAKEUCHI S,et al.Monitoring of a rice field using Landsat-5 TM and Landsat-7 ETM+data[J].Advances in Space Research,2003,32(11):2223-2228.
5于文颖,冯锐,纪瑞鹏,等.基于MODIS数据的水稻种植面积提取研究进展[J].气象与环境学报,2011,27(2):56-61.YU Wenying,FENG Rui,JI Ruipeng,et al.Advances in rice planting area extraction technology based on MODIS data[J].Journal of Meteorology&Environment,2011,27(2):56-61.(in Chinese)
6 CHEN Y,SONG X,WANG S,et al.Impacts of spatial heterogeneity on crop area mapping in Canada using MODIS data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2016,119:451-461.
7邬明权,王洁,牛铮,等.融合MODIS与Landsat数据生成高时间分辨率Landsat数据[J].红外与毫米波学报,2012,31(1):80-84.WU Mingquan,WANG Jie,NIU Zheng,et al.A model for spatial and temporal data fusion[J].Journal of Infrared&Millimeter Waves,2012,31(1):80-84.(in Chinese)
8石月婵,杨贵军,李鑫川,等.融合多源遥感数据生成高时空分辨率数据的方法对比[J].红外与毫米波学报,2015,34(1):92-99.SHI Yuechan,YANG Guijun,LI Xinchuan,et al.Intercomparison of the different fusion methods for generating high spatialtemporal resolution data[J].Journal of Infrared and Millimeter Waves,2015,34(1):92-99.(in Chinese)
9 GAO F,MASEK J,SCHWALLER M,et al.On the blending of the Landsat and MODIS surface reflectance:predicting daily Landsat surface reflectance[J].IEEE Transaction on Geoscience and Remote Sensing,2006,44(8):2207-2218.
10 HILKER T,WULDER M A,COOPS N C,et al.A new data fusion model for high spatial-and temporal-resolution mapping of forest disturbance based on Landsat and MODIS[J].Remote Sensing of Environment,2009,113(8):1613-1627.
11 ZHU X,CHEN J,GAO F,et al.An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions[J].Remote Sensing of Environment,2010,114(11):2610-2623.
12李颖,刘荣花,郑东东.基于多源数据和决策树估算夏玉米种植面积[J].中国农业气象,2014,35(3):344-348.LI Ying,LIU Ronghua,ZHENG Dongdong.Summer maize planting area estimation based on multi-source data and decision tree[J].Chinese Journal of Agrometeorology,2014,35(3):344-348.(in Chinese)
13邬明权,王长耀,牛铮.利用多源时序遥感数据提取大范围水稻种植面积[J].农业工程学报,2010,26(7):240-244.WU Mingquan,Wang Changyao,NIU Zheng.Mapping paddy fields in large areas,based on time series multi-sensors data[J].Transactions of the CSAE,2010,26(7):240-244.(in Chinese)
14蔡学良,崔远来.基于异源多时相遥感数据提取灌区作物种植结构[J].农业工程学报,2009,25(8):124-130.CAI Xueliang,CUI Yuanlai.Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data[J].Transactions of the CSAE,2009,25(8):124-130.(in Chinese)
15 GUSSO A,DUCATI J R.Algorithm for soybean classification using medium resolution satellite images[J].Remote Sensing,2012,4(10):3127-3142.
16张荣群,王盛安,高万林,等.基于时序植被指数的县域作物遥感分类方法研究[J/OL].农业机械学报,2015,46(增刊):246-252.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?flag=1&file_no=2015S040&journal_id=jcsam.DOI:10.6041/j.issn.1000-1298.2015.S0.040.ZHANG Rongqun,WANG Sheng'an,GAO Wanlin,et al.Remote-sensing classification method of county-level agricultural crops using time-series NDVI[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(Supp.):246-252.(in Chinese)
17刘新圣,孙睿,武芳,等.利用MODIS-EVI时序数据对河南省土地覆盖进行分类[J].农业工程学报,2010,26(增刊):213-219.LIU Xinsheng,SUN Rui,WU Fang,et al.Land-cover classification for Henan Province with time-series MODIS EVI data[J].Transactions of the CSAE,2010,26(Supp.):213-219.(in Chinese)
18郝卫平,梅旭荣,蔡学良,等.基于多时相遥感影像的东北三省作物分布信息提取[J].农业工程学报,2011,27(1):201-207.HAO Weiping,MEI Xurong,CAI Xueliang,et al.Crop planting extraction based on multi-temporal remote sensing data in Northeast China[J].Transactions of the CSAE,2011,27(1):201-207.(in Chinese)
19陈思宁,赵艳霞,申双和.基于波谱分析技术的遥感作物分类方法[J].农业工程学报,2012,28(5):154-160.CHEN Sining,ZHAO Yanxia,SHEN Shuanghe.Crop classification by remote sensing based on spectral analysis[J].Transactions of the CSAE,2012,28(5):154-160.(in Chinese)
20张良培,沈焕锋.遥感数据融合的进展与前瞻[J].遥感学报,2016,20(5):1050-1061.ZHANG Liangpei,SHEN Huanfeng.Progress and future of remote sensing data fusion[J].Journal of Remote Sensing,2016,20(5):1050-1061.(in Chinese)
21 WU M Q,WU C Y,HUANG W J,et al.An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery[J].Information Fusion,2016,31:14-25.
22郭铌.植被指数及其研究进展[J].干旱气象,2003(4):71-75.GUO Ni.Vegetation index and its advances[J].Journal of Arid Meteorology,2003(4):71-75.(in Chinese)
23 LIU H Q,HUETE A.A feedback based modification of the NDVI to minimize canopy background and atmospheric noise[J].IEEE Transactions on Geoscience&Remote Sensing,1995,33(2):457-465.
24虞连玉,蔡焕杰,姚付启,等.植被指数反演冬小麦植被覆盖度的适用性研究[J/OL].农业机械学报,2015,46(1):231-239.http:∥www.j-csam.org/jcsam/ch/reader/view_abstract.aspx?file no=20150133&flag=1.DOI:10.6041/j.issn.1000-1298.2015.01.033.YU Lianyu,CAI Huanjie,YAO Fuqi,et al.Applicability of vegetation indices to estimate fractional vegetation coverage[J/OL].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):231-239.(in Chinese)
25 XIAO X M,BOLES S,FROIKING 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.
26 DONG J,XIAO X,MENARGUEZ M A,et al.Mapping paddy rice planting area in northeastern Asia with Landsat 8 images,phenology-based algorithm and Google Earth Engine[J].Remote Sensing of Environment,2016,185(SI):142-154.
27景元书,李根,黄文江.基于相似性分析及线性光谱混合模型的双季稻面积估算[J].农业工程学报,2013,29(2):177-183.JING Yuanshu,LI Gen,HUANG Wenjiang.Estimation of double cropping rice planting area using similar index and linear spectral mixture model[J].Transactions of the CSAE,2013,29(2):177-183.(in Chinese)
28吴炳方,许文波,孙明,等.高精度作物分布图制作[J].遥感学报,2004,8(6):688-695.WU Bingfang,XU Wenbo,SUN Ming,et al.Quick Bird imagery for crop pattern mapping[J].Journal of Remote Sensing,2004,8(6):688-695.(in Chinese)