陆基散射计的水稻空间聚集特性分析
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摘要
地物的空间分布状态会影响微波后向散射特性,针对因生长特性而无明显行列向的水稻,该文利用L、C双频段全极化后向散射计对水稻整个生长季进行后向散射系数测量,提出了聚集度指数表征这类植被不同时相的空间特性。通过分析不同空间聚集度的水稻散射特性,研究了水稻后向散射系数在高低频的时空响应。实验结果表明,拔苗期至分蘖前期,下垫面土壤散射为主要散射分量时,C波段后向散射响应随着水稻聚集度变化而规律变化,从分蘖后期开始,随着生物量变大植被体散射增加,L波段后向散射相较C波段对空间聚集度响应更为明显。
The spatial distribution characteristics of land cover have influence on the backscattering properties.According to the implicit row characteristics of rice,we have measured the backscattering coefficients of rice in the entire growth season which obtained from full polarizations using scatter meter at L and C bands.This paper proposes kinds of cluster index to represent the spatial distribution characteristics of such type of vegetation at different times.Through comparing four paddies with diverse space cluster.The spatial and temporal responses of rice backscattering coefficients at high and low frequencies are studied with scattering characteristics of different spatial cluster.The experimental result shows when the soil surface scattering as the main scattering component from seedling to early tillering stage,C band backscatter responses regularly with the change of cluster.Meanwhile,when the volume scattering varies with the biomass increase from the beginning of the late tillering stage,L band backscatter is becoming more sensitive than C band to the response of spatial cluster.
The spatial distribution characteristics of land cover have influence on the backscattering properties.According to the implicit row characteristics of rice,we have measured the backscattering coefficients of rice in the entire growth season which obtained from full polarizations using scatter meter at L and C bands.This paper proposes kinds of cluster index to represent the spatial distribution characteristics of such type of vegetation at different times.Through comparing four paddies with diverse space cluster.The spatial and temporal responses of rice backscattering coefficients at high and low frequencies are studied with scattering characteristics of different spatial cluster.The experimental result shows when the soil surface scattering as the main scattering component from seedling to early tillering stage,C band backscatter responses regularly with the change of cluster.Meanwhile,when the volume scattering varies with the biomass increase from the beginning of the late tillering stage,L band backscatter is becoming more sensitive than C band to the response of spatial cluster.
引文
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[14]MOEUR M.Characterizing spatial patterns of trees using stem-mapped data[J].Forest Science,1993,39(4):756-775.
[15]PATEL P,SRIVASTAVA H S.Ground truth planning for synthetic aperture radar(SAR):addressing various challenges using statistical approach[J].International Journal of Advancement in Remote Sensing,GIS and Geography,2013,1(2):1-17.
[2]刘海,邓文胜.基于证据理论的水稻遥感信息提取方法研究[J].测绘科学,2008,33(5):21-24.(LIU Hai,DENG Wensheng.A extraction method of rice remote sensing information based on evidence theory[J].Science of Surveying and Mapping,2008,33(5):21-24.)
[3]温礼,程博,柴渊,等.SAR遥感数据监测土地利用变化的研究[J].测绘科学,2014,39(6):65-69.(WEM Li,CHENG Bo,CHAI Yuan,et al.Application of SARremote sensing data on land use change monitoring[J].Science of Surveying and Mapping,2014,39(6):65-69.)
[4]JAMES M S,KAMAL S,ULABY F T.Electromagnetic scattering from Grassland-Part II:measurement and modeling results[J].IEEE transactions on geoscience and remote sensing,2000,38(1):349-356.
[5]HE L,TONG L,SHI J,et al.Influence of row wheat on radar backscatter for azimuthal look angles at L-,S-,C-,and X-Bands[J].IEEE Geoscience&Remote Sensing Letters,2016,13(6):811-815.
[6]WANG J R,ENGMEN E T,SHIUE J C,et al.The SIR-B observations of microwave backscatter dependence on soil moisture,surface roughness,and vegetation covers[J].Geoscience&Remote Sensing IEEE Transactions on,1986,GE-24(4):510-516.
[7]INOUE Y,KUROSU T,MAENO H,et al.Seasonlong daily measurements of multifrequency(Ka,Ku,X,C,and L)and full-polarization backscatter signatures over paddy rice field and their relationship with biological variables[J].Remote Sensing of Environment,2002,81(2/3):194-204.
[8]ULABY F T,SARABANDI K,MCDONALD K.Michigan microwave canopy scattering model[J].International Journal of Remote Sensing,1990,11(7):1223-1253.
[9]BRUNFELDT D R,ULABY F T.Microwave emission from row crops[J].Geoscience and Remote Sensing,IEEE Transactions on,1986(3):353-359.
[10]JIA M Q,TONG L,CHEN Y,et al.Rice biomass retrieval from multitemporal ground-based scatterometer data and RADARSAT-2images using neural networks[J].Journal of Applied Remote Sensing,2013,7(1):073509.
[11]RIPLEY B D.Modelling spatial patterns[J].Journal of the Royal Statistical Society:Series B(Methodological),1977:172-212.
[12]汤孟平,唐守正,雷相东,等.Ripley’s K(d)函数分析种群空间分布格局的边缘校正[J].生态学报,2003,23(8):1533-1538.(TANG Mengping,TANG Shouzheng,LEI Xiangdong,et al.Edge correction of Ripley’s K(d)function on population spatial pattern analysis[J].Acta Eco Logica Sinica,2003,23(8):1533-1538.)
[13]刘新,李成名,刘文宝.具有空间关系约束的时空数据聚集查询语义理论[J].测绘科学,2009,34(3):76-77.(LIU Xin,LI Chengming,LIU Wenbao.Aggregate queries semantic with spatial relation constraints in spatio-temporal data base[J].Science of Surveying and Mapping,2009,34(3):76-77.)
[14]MOEUR M.Characterizing spatial patterns of trees using stem-mapped data[J].Forest Science,1993,39(4):756-775.
[15]PATEL P,SRIVASTAVA H S.Ground truth planning for synthetic aperture radar(SAR):addressing various challenges using statistical approach[J].International Journal of Advancement in Remote Sensing,GIS and Geography,2013,1(2):1-17.