北方农业学报 ›› 2016, Vol. 44 ›› Issue (2): 73-73.

• 研究报告 • 上一篇    下一篇

基于遥感参数HI(NDVI-SUM)及专家知识反演的春小麦遥感估产研究——以呼伦贝尔市大兴安岭西麓为例

乌兰吐雅[1];姚晓燕[2];乌兰[1];包珺玮[1];姜英俊[3]   

  1. [1]内蒙古农牧业科学院,内蒙古呼和浩特010031 [2]内蒙古拉布达林农场,内蒙古拉布达林022250 [3]海拉尔农牧场管理局,内蒙古海拉尔021008
  • 出版日期:2016-04-20 发布日期:2016-04-20
  • 通讯作者: 乌兰吐雅
  • 作者简介:乌兰吐雅(1970-),女(蒙古族),副研究员,硕士,主要从事遥感与GIS应用工作。
  • 基金资助:
    内蒙古自治区农牧业科学院创新基金项目“内蒙古农情遥感监测方法与应用研究”(2015CXJJN05)资助

The preliminary study on Remote sensing-based yield estimation of spring wheat by using HI(NDVI-SUM) and Expert knowledge——Taking Great Khingan Western Slope of Hulunbuir as an example

Wulantuya, YAO Xiaoyan,Wulan, BAO Junwei ,JIANG Yingjun (1.Inner Mongolia Academy of Agricultural Animal Husbandry Sciences, Hohhot 010031, China; 2.Labudalin Farm of Inner Mongolia,Labudalin 022250, China; 3.Hailar Agricultural and Livestock Management Bureau,Hailar 021008,China)   

  • Online:2016-04-20 Published:2016-04-20

摘要: 研究初步探索用遥感参数及专家知识对大兴安岭西麓春小麦产量进行大面积反演。用时间序列NDVI数据计算遥感参数HINDVI-SUM,与地块尺度产量进行回归分析,模拟出呼伦贝尔市大兴安岭西麓春小麦产量。模拟结果为参数HINDVI-SUM与春小麦单产负线性相关,y=-5769.493x+6957.497,R2=0.386,以花木兰队的春小麦种植区域进行产量精度检验,相对误差为13.7%。以参数HINDVI-SUM及专家知识反演的春小麦产量在区域尺度是可行的,研究结果在其他区域的精度有待于进一步验证。

Abstract: The study was to explore the large area of spring wheat yield by using remote sensing parameter and expert knowledge in Great Khingan western slope. Remote sensing parameter HINDVISUMwas calculated by MODIS NDVI time-series data and regression analysis with plot scale production was done and spring wheat yield was simulated in Great Khingan western slope of Hulun Buir.There was negative linear correlation between HINDVISUMindex and the average yield of spring wheat( y=-5769.493 x +6957.497,R2=0.386). The spring wheat planting area of Huamulan team was made accuracy test and the relative error was 13.7%.The results showed that the retrieval of HINDVISUMand expert knowledge was feasible in regional scale, but the further confirm of accuracy was needed to evaluate in other regions.

中图分类号: 

  • S127 TP79