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.
作者
姚晓磊
鱼京善
李占杰
宋皓
YAO Xiaolei;YU Jingshan;LI Zhanjie;SONG Hao(Digital Watershed Laboratory,College of Water Sciences,Beijing Normal University,100875,Beijing,China;College of Resource Environment and Tourism,Capital Normal University,100048,Beijing,China)
出处
《北京师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2019年第2期233-239,共7页
Journal of Beijing Normal University(Natural Science)
基金
国家重点研发计划重点专项基金资助项目(2016YFC0401308)
国家自然科学基金资助项目(51779007)
北京市博士后工作经费资助项目
关键词
ESA
CCI
遥感土壤水
农业干旱
准确性评估
中国东北
ESA CCI
remote sensing soil water
agricultural drought
accuracy evaluation
Northeast China
