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基于时序数据分析的云参数法背景场构建

向大享 李喆 文雄飞

长江科学院院报2016,Vol.33Issue(11):5-11,16,8.
长江科学院院报2016,Vol.33Issue(11):5-11,16,8.DOI:10.11988/ckyyb.20160819

基于时序数据分析的云参数法背景场构建

Background Field Construction of Cloud Parameters Based on Time-series Data Analysis

向大享 1李喆 1文雄飞1

作者信息

  • 1. 长江科学院 空间信息技术应用研究所,武汉 430010
  • 折叠

摘要

Abstract

In order to reduce the effect of inter-annual variations on cloud parameter, we computed the cloud param-eter drought index with Inner Mongolia Autonomous Region as a case study. According to ground observation data, we selected appropriate characteristic value to calculate the background field data, and then modified the cloud pa-rameter drought index. Results revealed that modified through background field data, the risk level of desert in mid-dle and west Inner Mongolia and farmland in southeast Inner Mongolia reduced in 2006 and 2007, and the area of high risk level decreased apparently. In 2008, the high risk level in the north part of west Inner Mongolia and the southeast Inner Mongolia reduced as well, so did the high risk area. According to the monitoring results in every February from 2009-2011, we can conclude that the spatial distribution of monitoring results obtained by the present method are of good continuity, and the risk levels are closer to the real situation.

关键词

云参数法/遥感监测/时序数据/干旱指数/背景场/修正函数

Key words

cloud parameters method/remote sensing monitoring/time-series data/drought index/background field/modified function

分类

天文与地球科学

引用本文复制引用

向大享,李喆,文雄飞..基于时序数据分析的云参数法背景场构建[J].长江科学院院报,2016,33(11):5-11,16,8.

基金项目

国家自然科学基金青年基金项目(41401487) (41401487)

中央级公益性科研院所基本科研业务费项目(CKSF2016036/KJ,CKSF2015019/KJ) (CKSF2016036/KJ,CKSF2015019/KJ)

长江科学院院报

OA北大核心CSCDCSTPCD

1001-5485

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