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2019 , Vol. 42 >Issue 1: 172 - 179

DOI: https://doi.org/10.12118/j.issn.1000-6060.2019.01.20

地球信息科学

基于MODIS和TRMM数据的黄土高原

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  • 西北师范大学地理与环境科学学院，甘肃 兰州 730070
胡鹏飞（1993－）男，甘肃平凉人，在读硕士，主要从事定量遥感研究．E-mail：pfhu0213@163com

网络出版日期: 2019-01-16

基金资助

国家自然科学基金项目(41261016)；西北师范大学青年教师科研能力提升计划项目(NWNU-LKQN-14-4)资助

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Monitoring agricultural drought in the Loess Plateau using MODIS and TRMM data

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Online published: 2019-01-16

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摘要

农业干旱对农业生产影响最为严重，基于站点观测数据的干旱指数不能准确监测区域尺度的农业干旱特征。因此，本文利用2003—2010年MODIS地表温度（LST）、植被指数（NDVI）和TRMM降水（3B43）数据以及1960—2015年黄土高原地区及周边92个气象站点的月均温和月降水量数据，构建了综合遥感干旱监测模型规模干旱条件指数（Scale Drought Condition Index，SDCI），对黄土高原地区农用地生长季（4~10月）旱情的时空分布特征进行研究，结果表明：黄土高原地区农用地生长季多年平均干旱状态为中度干旱，干旱程度在空间上表现为西北部较严重，东南部较轻。2003—2010年黄土高原地区旱情年际变化呈缓慢加重趋势，2003—2007年旱情持续加重，2007—2009旱情缓慢减轻，2009—2010年旱情又加重。黄土高原地区旱情年内变化表现4-8月持续减轻，8-10月持续加重，干旱程度具体表现为4月呈严重干旱，5月、6月和10月呈中度干旱，7月、8月和9月呈轻度干旱。研究表明利用多源遥感数据构建的具有适当权重的SDCI可以有效监测黄土高原地区作物生长季的干旱状况。

关键词： 农业干旱; 黄土高原; MODIS; TRMM

本文引用格式

胡鹏飞，李净，王丹，黄康刚 . 基于MODIS和TRMM数据的黄土高原[J]. 干旱区地理, 2019 , 42(1) : 172 -179 . DOI: 10.12118/j.issn.1000-6060.2019.01.20

Abstract

Agricultural drought has the most significant impact on agricultural production. The drought index based on Meteorological Stations observation data cannot accurately monitor agricultural drought characteristics at regional scale. In this paper, the Scale Drought Condition Index（SDCI）is constructed by using multi-source remotely sensed data and is used to study the spatio-temporal characteristics during the agricultural land growth period (from April to October） in Loess Plateau region from 2003 to 2010. Firstly, using MODIS land cover product (MCD12Q1） to extract agricultural land in the Loess Plateau region, and then combining MODIS land surface temperature (LST） products （MOD11A2）, Normalized Vegetation Index （NDVI）products （MOD13A2）and TRMM（3B43）precipitation products to construct SDCI evaluation index to monitor agricultural drought. Secondly, the Standardized Precipitation Index (SPI） and the Standardized Precipitation Evapotranspiration Index (SPEI） during the same period are used to verify the reliability of SDCI. Finally, the drought condition during the agricultural land growing season from 2003 to 2010 is analyzed in the Loess Plateau region. The results show that: (1) The annual average drought condition during the agricultural land growing period is in moderate drought in the Loess Plateau agricultural land, and the drought level is more serious in the northwest, but lighter in the southeast． (2) From 2003 to 2010, the inter-annual variation of drought condition in Loess Plateau region showed a slow aggravating trend， the drought condition had been continuously increased during the time period from 2003 to 2007, it had been gradually relieved in the period from 2007 to 2009, but it got aggravated again from 2009 to 2010．(3) The monthly changes of drought situation in the Loess Plateau region showed a continuous relief from April to August and a slow exacerbation from August to October. The drought degree was serious in April, moderate in May, June and October, and mild in July, August and September．(4) When the weights of VCI, TCI and PCI are 0.1, 0.4 and 0.5 respectively. Compared with the single drought monitoring index based on meteorological station data, SDCI can monitor the distribution characteristics of agricultural drought in regional scale more accurately. However, due to the limitation of spatial resolution of remotely sensed data, there are still many deficiencies of SDCI in describing the Agriculture drought. Therefore, the improvement on the spatial resolution is expected in the future study on the agriculture drought．

Key words： Agricultural drought; The Loess Plateau; MODIS; TRMM

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