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[1]SHI Xiaoliang,YANG Zhiyong,WANG Xinshuang,et al.Maize Yield Estimation Based on Light Efficiency Model in Songnen Plain, Northeast China[J].Research of Soil and Water Conservation,2017,24(05):385-390.

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Maize Yield Estimation Based on Light Efficiency Model in Songnen Plain, Northeast China

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 05 Page number: 385-390 Column: Public date: 2017-10-28

Title:: Maize Yield Estimation Based on Light Efficiency Model in Songnen Plain, Northeast China

Author(s):: SHI Xiaoliang¹, YANG Zhiyong², WANG Xinshuang³, XUE Yumei¹, LIU Feng¹; 1. College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China;
2. Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
3. Shannxi Geomatics Center of National Administration of Surveying, Mapping and Geoinformation, Xi’an 710054, China

Keywords:: Songnen Plain; maize yield; remote sensing; light use efficiency

CLC:: S127

DOI:: -

Abstract:: Regional estimation of crop yield is critical for many applications such as agricultural land management, food security and macro-control. In the paper, the accumulated aboveground dry biomass in maize growing season from May to September every year were estimated using the long time sequenced remote sensing and meteorological data from 2001 to 2013 based on light use efficiency. Finally, we built the estimation model of maize yield through converting the calculated ground dry biomass to yield by harvest index. The results showed that the estimated yields can meet the precision requirements for estimating crop yield on a great scale, and it was feasible to predict maize yield by crop biomass based on remote sensing. Average annual maize yield from 2001 to 2013 was 12 397.44 kg/hm² in Songnen Plain, and the maize yield had increased over recent decades. There was significant spatial difference of maize yield, and the yield of the eastern part of the study area was higher than that of the western part. The spatial distribution of change trend of maize yield in study area from 2001 to 2013 was analyzed, which showed that about 91.7% of the study area presented an increasing yield trend, especially in the west of study area including Baicheng, Qiqihar, etc., where significant increase in maize yield had been seen. The maize yield had a significant positive correlation with the precipitation, and it had an obvious negative with temperature in the southern part of Songnen Plain.However, the maize yield had no obvious relationship with precipitation and temperature in the other area of the plain.

References:: [1] 任建强,陈仲新,唐华俊,等.基于植物净初级生产力模型的区域冬小麦估产研究[J].农业工程学报,2006,22(5):111-117.
[2] 赵文亮,贺振,贺俊平,等.基于MODIS-NDVI的河南省冬小麦产量遥感估测[J].地理研究,2012,31(12):2310-2320.
[3] 冯美臣,肖璐洁,杨武德,等.基于遥感数据和气象数据的水旱地冬小麦产量估测[J].农业工程学报,2010,26(11):183-188.
[4] 任建强,刘杏认,陈仲新,等.基于作物生物量估计的区域冬小麦单产预测[J].应用生态学报,2009,20(4):872-878.
[5] 吴炳方.全国农情监测与估产的运行化遥感方法[J].地理学报,2000,55(1):25-35.
[6] 钱永兰,侯英雨,延昊,等.基于遥感的国外作物长势监测与产量趋势估计[J].农业工程学报,2012,28(13):166-171.
[7] 徐新刚,吴炳方,蒙继华,等.农作物单产遥感估算模型研究进展[J].农业工程学报,2008,24(2):290-298.
[8] Balaghi R, Tychon B, Eerens H, et al. Empirical regression model using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco[J]. International Journal of Applied Earth Observation and Geoinformation, 2008,10(4):438-452.
[9] 邓坤枚,孙九林,陈鹏飞,等.利用国产环境减灾卫星遥感信息估测春小麦产量:以内蒙古陈巴尔虎旗地区为例[J].自然资源学报,2011,26(11):1942-1952.
[10] Ren J Q, Chen Z X, Zhou Q B, et al. Regional yield estimation for winter wheat with MODIS-NDVI data in Shan-dong, China[J]. International of Applied Earth Observation and Geoinformation, 2008,10(4):403-413.
[11] 曾丽红,宋开山,张柏,等.基于SEBAL模型与MODIS产品的松嫩平原蒸散量研究[J].干旱区资源与环境,2011,25(1):140-147.
[12] 黄志刚,王小立,肖烨,等.气候变化对松嫩平原水稻灌溉需水量的影响[J].应用生态学报,2015,26(1):260-268.
[13] 童成立,张文菊,汤阳,等.逐日太阳辐射的模拟计算[J].中国农业气象,2005,26(3):165-169.
[14] Bastiaanssen W G M, Ali S. A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan[J]. Agriculture Ecosystems and Environment, 2003,94(3):321-340.
[15] Moriondo M, Maselli F, Bindi M. A simple model of regional wheat yield based on NDVI data[J]. European Journal of Agronomy.2007,26(3):266-274.
[16] 朱文泉,潘耀忠,龙中华,等.基于GIS和RS的区域陆地植被NPP估算：以中国内蒙古为例[J].遥感学报,2005,9(3):300-307.
[17] 朱文泉,潘耀忠,张锦水.中国陆地植被净初级生产力遥感估算[J].植物生态学报,2007,31(3):413-424.
[18] 罗玲.基于遥感—机理模型的松嫩西部草地净初级生产力(NPP)模拟[D].长春:中国科学院东北地理与农业生态研究所,2010.
[19] 穆少杰,李建龙,周伟,等.2001—2010年内蒙古植被净初级生产力的时空格局及其与气候的关系[J].生态学报,2013,33(12):3752-3764.
[20] 史晓亮,李颖,赵凯,等.诺敏河流域植被覆盖时空演变及其与径流的关系研究[J].干旱区资源与环境,2013,27(6):54-60.

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