CCI遥感土壤水在东北粮食主产区表征干旱的准确性评估
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摘要
针对长时间序列土壤湿度数据集在国内缺乏验证和应用的问题,利用东北粮食主产区1992—2013年土壤10cm表层实测站点数据,采用2种评估方法,即皮尔逊相关绝对法和干旱判断吻合度相对法,对欧洲空间局气候变化倡议(climate change initiative,CCI)的土壤湿度数据集,融合遥感土壤水数据产品在东北粮食主产区表征干旱的准确性进行评估.2种分析结果表明,CCI遥感土壤水在判断东北粮食主产区干旱事件上具有较高的准确性,可以作为东北粮食主产区内表征干旱的有效指标开展农业干旱评价研究.
Due to lack of validation and application of long time series remote sensing soil moisture in China,this study used soil surface measured data for 10 cm in Northeast China in 1992-2013 to verify the European space agency soil moisture data set(ESA CCI SM).Two methods of authentication were used:Pearson correlation verification method and relative verification method about coincidence degree of drought.The verification study was located in the main grain producing areas of Northeast China,an area dominated by rain-fed agriculture.With both methods CCI remote sensing soil moisture was found to have higher accuracy on judging drought event.This remote sensing soil water can be used as an effective indicator of agricultural drought in the main grain-producing region of Northeast China,providing a strong data support for the realtime evaluation of agricultural drought.
Due to lack of validation and application of long time series remote sensing soil moisture in China,this study used soil surface measured data for 10 cm in Northeast China in 1992-2013 to verify the European space agency soil moisture data set(ESA CCI SM).Two methods of authentication were used:Pearson correlation verification method and relative verification method about coincidence degree of drought.The verification study was located in the main grain producing areas of Northeast China,an area dominated by rain-fed agriculture.With both methods CCI remote sensing soil moisture was found to have higher accuracy on judging drought event.This remote sensing soil water can be used as an effective indicator of agricultural drought in the main grain-producing region of Northeast China,providing a strong data support for the realtime evaluation of agricultural drought.
引文
[1]孙灏,陈云浩,孙洪泉.典型农业干旱遥感监测指数的比较及分类体系[J].农业工程学报,2012(14):147
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[15]JACKSON T J,BINDLISH R,COSH M H,et al.Validation of soil moisture and ocean salinity(SMOS)soil moisture over watershed networks in the U.S[J].Geoscience&Remote Sensing IEEE Transactions on,2012,50(5):1530
[16]吴凯,舒红.基于CCI资料与EnKF方法的单点土壤湿度同化[J].水资源与水工程学报,2017,28(1):236
[17]DORIGO W A,GRUBER A,JEU R A M D,et al.Evaluation of the ESA CCI soil moisture product using ground-based observations[J].Remote Sensing of Environment,2015,162(2):380
[18]ALBERGEL C,DORIGO W,BALSAMO G,et al.Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalysis[J].Remote Sensing of Environment,2013,138(6):77
[19]ZHANG A,JIA G.Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data[J].Remote Sensing of Environment,2013,134(7):12
[20]YUAN X,MA Z,PAN M,et al.Microwave remote sensing of short-term droughts during crop growing seasons[J].Geophysical Research Letters,2015,42:4394
[21]WILKS D S.Statistical methods in the atmospheric sciences,international geophysics series[M].San Diego,Calif:Academic Press,2011:676
[22]洪景山,蔡雅婷.海峡两岸气象科学技术研讨会论文集[C].台北:中国学术期刊电子出版社,2011
[23]王永明,高山红.黄海海雾数值模拟中多普勒雷达径向风数据同化试验[J].中国海洋大学学报(自然科学版),2016,46(8):1
[2]LIU Y Y,PARINUSSA R M,DORIGO W A,et al.Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals[J].Hydrology&Earth System Sciences Discussions,2010,15(2):425
[3]庄媛.中国区域多源主被动微波遥感土壤湿度产品融合研究[D].南京:南京信息工程大学,2014:77
[4]HOGG E H,BARR A G,BLACK T A.A simple soil moisture index for representing multi-year drought impacts on aspen productivity in the western Canadian interior[J].Agricultural&Forest Meteorology,2013,178/179(4):173
[5]刘苏峡,邢博,袁国富,等.中国根层与表层土壤水分关系分析[J].植物生态学报(英文版),2013,37(1):1
[6]管建慧,刘克礼,郭新宇.玉米根系构型的研究进展[J].玉米科学,2006,14(6):162
[7]傅金民,董钻.大豆根系生长及其与产量的关系[J].大豆科学,1987,6(4):261
[8]杨娜.基于云参数干旱遥感监测模型与集合卡尔曼滤波的土壤湿度同化研究[D].武汉:武汉大学,2010
[9]BISWAS B C,DASGUPTA S K.Estimate of soil moisture at deeper depth from surface layer data[J].Mausam,1979,30(4):40
[10]杨静敬,蔡焕杰,王松鹤,等.杨凌区浅层土壤水分与深层土壤水分的关系研究[J].干旱地区农业研究,2010,28(3):53
[11]MAHMOOD R,HUBBARD K G.Relationship between soil moisture of near surface and multiple depths of the root zone under heterogeneous land uses and varying hydroclimatic conditions[J].Hydrological Processes,2007,21(25):3449
[12]RAGAB R.Towards a continuous operational system to estimate the root-zone soil moisture from intermittent remotely sensed surface moisture[J].Journal of Hydrology,1995,173(1/2/3/4):1
[13]王绍武,罗勇,唐国利,等.近10年全球变暖停滞了吗?[J].气候变化研究进展,2010,6(2):95
[14]孙凤华,杨素英,陈鹏狮.东北地区近44年的气候暖干化趋势分析及可能影响[J].生态学杂志,2005,24:751
[15]JACKSON T J,BINDLISH R,COSH M H,et al.Validation of soil moisture and ocean salinity(SMOS)soil moisture over watershed networks in the U.S[J].Geoscience&Remote Sensing IEEE Transactions on,2012,50(5):1530
[16]吴凯,舒红.基于CCI资料与EnKF方法的单点土壤湿度同化[J].水资源与水工程学报,2017,28(1):236
[17]DORIGO W A,GRUBER A,JEU R A M D,et al.Evaluation of the ESA CCI soil moisture product using ground-based observations[J].Remote Sensing of Environment,2015,162(2):380
[18]ALBERGEL C,DORIGO W,BALSAMO G,et al.Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalysis[J].Remote Sensing of Environment,2013,138(6):77
[19]ZHANG A,JIA G.Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data[J].Remote Sensing of Environment,2013,134(7):12
[20]YUAN X,MA Z,PAN M,et al.Microwave remote sensing of short-term droughts during crop growing seasons[J].Geophysical Research Letters,2015,42:4394
[21]WILKS D S.Statistical methods in the atmospheric sciences,international geophysics series[M].San Diego,Calif:Academic Press,2011:676
[22]洪景山,蔡雅婷.海峡两岸气象科学技术研讨会论文集[C].台北:中国学术期刊电子出版社,2011
[23]王永明,高山红.黄海海雾数值模拟中多普勒雷达径向风数据同化试验[J].中国海洋大学学报(自然科学版),2016,46(8):1