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基于MODIS-NDVI的内蒙古植被变化遥感监测
引用本文:李慧静,包玉海,包刚,何振华.基于MODIS-NDVI的内蒙古植被变化遥感监测[J].测绘科学,2009,34(5).
作者姓名:李慧静  包玉海  包刚  何振华
作者单位:1. 内蒙古赤峰市环境保护局环境科学院,内蒙古赤峰,024000
2. 内蒙古自治区遥感与地理信息系统重点实验室,呼和浩特,010022;内蒙古师范大学地理科学学院,呼和浩特,010022
3. 内蒙古自治区遥感与地理信息系统重点实验室,呼和浩特,010022
4. 内蒙古师范大学地理科学学院,呼和浩特,010022
基金项目:国家自然科学基金,国家自然科学基金 
摘    要:本文利用2002-2006年5-8月的MODIS 1B数据,建立NDVI时间序列,并结合气象数据中的月均温、月降水量、滞后1月和滞后2月累计降水量对内蒙古地区植被生长季NDVI的月际、年际变化规律以及NDVI变化同气候因子的相关性进行了分析。结果表明:月际变化上,5-8月NDVI不断增加,NDVI变化率5-6月>6-7月>7-8月;年际变化上,2002-2006年间,草地的波动性最大;在与气候因子的相关性上:滞后2月降水>滞后1月降水>月均温>月降水量;对于林地和草地来说,各种相关系数高纬高于低纬,对于农耕地来说各种相关系数基本相当;对于沙地来说,各种相关系数均不高,这与其植被稀少且几乎无变化有关。

关 键 词:MODIS  植被变化  月际变化  年际变化  相关分析

RS monitoring of vegetation change in Inner Mongolia based on MODIS-NDVI
LI Hui-jing,BAO Yu-hai,BAO Gang,HE Zhen-hua.RS monitoring of vegetation change in Inner Mongolia based on MODIS-NDVI[J].Science of Surveying and Mapping,2009,34(5).
Authors:LI Hui-jing  BAO Yu-hai  BAO Gang  HE Zhen-hua
Abstract:Based on MODIS 1B data from May to August among 2002-2006,NDVI time series data in Inner Mongolia region was built.Combined with synchronous meteorological data like monthly averaged temperature,monthly precipitation,lag one month precipitation and lag two months precipitation,the change by month and inter-annual change of Inner Mongolia vegetation growing season,as well as the correlation with NDVI changes and climatic factors,were analyzed.The results shows that on the occasion of changes by month,in May to August NDVI is overall increase,the rate of change is May-June> June-July> July-August;To the inter-annual changes,the grassland have the largest fluctuation;For the relevance with climatic factors,the regulation is lag two months precipitation>lag one month precipitation>monthly averaged temperature>monthly precipitation in general;For the forest and grass region,the regulation of every correlation coefficients is that the value of high latitudes region is higher than the value of low latitudes region;For the agricultural area,the correlation coefficients are equal;For the sandy land,every correlation coefficients are not high,this is because of its scarce vegetation coverage.
Keywords:MODIS
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