运用中分辨率成像光谱数据对塔里木河流域植被覆盖度动态变化分析
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摘要
为加快塔里木河流域植被的保护、恢复进程,运用2007—2017年塔里木河流域遥感影像和基础数据,利用"3S"技术平台,系统分析了塔里木河流域11 a年间植被覆盖度年内、年际变化特征以及空间变化,并进行了实地调查和检验。结果表明:(1) 2007—2017年,塔里木河流域的植被覆盖度总体趋于好转,11 a间研究区年平均植被覆盖度增加3.29%; 2017年塔里木河流域植被覆盖度与2007年相比,上游增加了30.8%,中游增加了29.4%,下游增加了53.2%。(2)塔里木河流域植被覆盖度变化与植被的生长季相一致,年内植被覆盖度最大值出现在8月份,最小值出现在4月份,上游河段2017年两者相差21.39%。(3)塔里木河流域植被覆盖度空间差异明显,呈现从上游向下游递减的趋势,上游植被覆盖度是下游的4.51倍。
In order to accelerate the process of vegetation protection and restoration in the Tarim River Basin based on the remote sensing image and basic data of the Tarim River Basin from 2007 to 2018,the "3 S" technology platform was used to systematically analyze the Tarim River Basin for 12 years. During the year,the annual and interannual variation characteristics of vegetation coverage and the spatial changes in the Tarim River Basin were investigated and tested. The vegetation coverage of the Tarim River Basin tended to improve from 2007 to 2017. The annual average vegetation coverage growth rate in the study area was 3.29% in the past 11 years. In 2017,the vegetation coverage in the upper reaches of the Tarim River increased by 30.8% compared with 2007; the vegetation coverage in the middle reaches of the Tarim River increased by 29.4%; and the vegetation coverage in the lower reaches of the Tarim River increased by 53.2%. Vegetation coverage in the Tarim River Basin was consistent with the growing season of the vegetation. The maximum vegetation coverage during the year appeared in August,and the lowest value appeared in April. Take the upstream section as an example,the difference between the two was 21.39% in 2017. The spatial difference of vegetation coverage in Tarim River Basin is obvious,showing a decreasing trend from upstream to downstream,and the difference between upstream and downstream reaches 4.51 times.
In order to accelerate the process of vegetation protection and restoration in the Tarim River Basin based on the remote sensing image and basic data of the Tarim River Basin from 2007 to 2018,the "3 S" technology platform was used to systematically analyze the Tarim River Basin for 12 years. During the year,the annual and interannual variation characteristics of vegetation coverage and the spatial changes in the Tarim River Basin were investigated and tested. The vegetation coverage of the Tarim River Basin tended to improve from 2007 to 2017. The annual average vegetation coverage growth rate in the study area was 3.29% in the past 11 years. In 2017,the vegetation coverage in the upper reaches of the Tarim River increased by 30.8% compared with 2007; the vegetation coverage in the middle reaches of the Tarim River increased by 29.4%; and the vegetation coverage in the lower reaches of the Tarim River increased by 53.2%. Vegetation coverage in the Tarim River Basin was consistent with the growing season of the vegetation. The maximum vegetation coverage during the year appeared in August,and the lowest value appeared in April. Take the upstream section as an example,the difference between the two was 21.39% in 2017. The spatial difference of vegetation coverage in Tarim River Basin is obvious,showing a decreasing trend from upstream to downstream,and the difference between upstream and downstream reaches 4.51 times.
引文
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[21]杨光华,包安明,陈曦,等.气候和土地利用变化对塔里木河干流区植被覆盖变化的影响[J].中国沙漠,2010,30(6):1389-1397.
[2]张旭,刘新春,肖继东,等.EOS/MODIS影像处理在塔里木河下游植被监测中的应用[J].干旱区研究,2005,22(4):532-536.
[3]周伟,刚成诚,李建龙,等.1982-2010年中国草地覆盖度的时空动态及其对气候变化的响应[J].地理学报,2014,69(1):15-30.
[4]WEISS E S E.MARSH E S.Pfirman.Application of NOAA-AVHRR NDVI time-series data to assess changes in Saudi Arabia’s rangelands[J].International Journal of Remote Sensing,2001,22(6):1005-1027.
[5]HUO A D,LI J G,JIANG G Z,et al.Temporal and spatial variation of surface evapotranspiration based on remote sensing in golmud region,china[J].Applied Mathematics&Information Sciences,2013,7(2L):519-524.
[6]MARTNEZ B,GILABERT M A.Vegetation dynamics from NDVItime series analysis using the wavelet transform[J].Remote Sensing of Environment,2009,113(9):1823-1842.
[7]BROWN J C,KASTENS J H,COUTINHO A C,et al.Classifying multiyear agricultural land use data from Mato Grosso using timeseries MODIS vegetation index data[J].Remote Sensing of Environment,2013,130(4):39-50.
[8]郭辉,黄粤,李向义,等.基于多尺度遥感数据的塔里木河干流地区植被覆盖动态[J].中国沙漠,2016,36(5):1472-1480.
[9]邓铭江.塔里木河下游生态输水及植被恢复遥感监测评价[J].冰川冻土,2007,29(3):380-386.
[10]HUO A,ZHANG J,CHENG Y,et al.Assessing the effect of scaling methods on retrieval of soil moisture based on MODIS images in arid regions[J].Toxicological&Environmental Chemistry Reviews,2016,98(3/4):410-418.
[11]王非,毋兆鹏,汪洋,等.基于RS和GIS的塔里木盆地荒漠化动态监测[J].生态学杂志,2017,36(4):1029-1037.
[12]宋郁冬,樊自力,雷志栋,等.中国塔里木河水资源与生态问题研究[M].乌鲁木齐:新疆人民出版社,2000.
[13]叶朝霞,何秉宇,董秀梅.塔里木河下游生态环境整治与生态效应分析[J].新疆地质,2005,23(1):55-58.
[14]白元,徐海量,刘新华,等.塔里木河干流荒漠河岸林的空间分布与生态保护[J].自然资源学报,2013(5):776-785.
[15]叶朝霞,陈亚宁,李卫红.基于生态水文过程的塔里木河下游植被生态需水量研究[J].地理学报,2007,62(5):451-461.
[16]王正兴,刘闯,HUETE A,等.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J].生态学报,2003,23(5):979-987.
[17]王静,郭铌.Terra MODIS和Aqua MODIS波段反射率及植被指数比较[J].生态学杂志,2008,27(10):1711-1717.
[18]戴俣俣,丁贤荣,王文种.基于MODIS影像的植被覆盖度提取研究[J].遥感信息,2009(2):67-70.
[19]吕志强.遥感与GIS应用实习教程[M].成都:西南财经大学出版社,2016.
[20]霍艾迪,张广军,赵君,等.基于MODIS数据的沙漠化地区地下水位遥感监测模型的建立:以毛乌素沙地为例[J].干旱地区农业研究,2010,28(6):196-200.
[21]杨光华,包安明,陈曦,等.气候和土地利用变化对塔里木河干流区植被覆盖变化的影响[J].中国沙漠,2010,30(6):1389-1397.