WANG Bo-wei,WANG Yong-qian,YANG Shi-qi.Drought Monitoring from FY-3A/VIRR Observations ——A Case Study of Chongqing in 2011[J].Journal of Chengdu University of Information Technology,2016,(06):637-644.
基于FY-3A/VIRR卫星数据的干旱监测研究 ——以2011年重庆地区为例
- Title:
- Drought Monitoring from FY-3A/VIRR Observations ——A Case Study of Chongqing in 2011
- 文章编号:
- 2096-1618(2016)06-0637-08
- Keywords:
- meteorology; atmospheric remote sensing; FY-3A; remote sensing data; drought monitoring; vegetation supply water Index; regionalization of study area
- 分类号:
- P412.27
- 文献标志码:
- A
- 摘要:
- 为探讨中国FY-3A数据对干旱旱情监测的差异性与可比性,结合植被供水指数VSWI(vegetation soil water index),利用Aqua/MODIS(moderate-resolution imaging spectroradiometer)数据作对比,实测站点数据作验证,对重庆地区2011年8月的旱情进行分析。2011年8月重庆市主要旱情级别为轻旱,干旱情况从西至东有减缓的趋势。从干旱级别来分,重庆西部主城区干旱情况最为严重,达重旱级别; 重庆西部地区仍然受到中旱和轻旱两种不同干旱程度的影响; 重庆中部大部分处于适宜植被生长的状态; 重庆东北、东南地区最为湿润,不受旱情的影响。FY-3A/VIRR植被供水指数数据与Aqua/MODIS植被供水指数数据的相关性达到0.7537。植被供水指数监测结果和实测数据呈正相关关系,与20 cm的实测土壤墒情数据相关性最高,FY-3A/VIRR、Aqua/MODIS与20 cm的实测土壤墒情数据的相关系数分别为:0.7768,0.8171,且均通过0.01的显著性检验,说明监测结果可信,即利用FY-3A数据进行旱情监测是可行的。另外,针对重庆地区的地表覆盖类型和地貌类型,将重庆地区细分4类:作物,小起伏地形的作物,混交林和中起伏地形的混交林,利用动态的旱情评定标准进行针对性旱情分析。发现植被供水指数法比较适宜大面积的旱情监测。
- Abstract:
- For the purpose of probing into the othemess and comparability of drought monitoring, by using FY-3A data, combining with VSWI(vegetation soil water index), comparing with the MODIS data and the confirmation data as the site data to analyze the drought condition of Chongqing in August 2011. The main drought condition of Chongqing in August 2011 was light and there was a tendency to slow down from the west to the east. As to the level of drought, the worst condition was in the urban area of western Chongqing, which reached heavy drought; moderate drought and light drought has effected western Chongqing, and the center of Chongqing was in a state of suitable for vegetation growth; the northeast and southeast of Chongqing were the most humid areas, not affected by the drought. The relativity of VSWI between FY-3A/VIRR and MODIS is 0.7537. And the relativity of VSWI and site data is a positive correlation, the correlation with the 20 cm depth soil water content is the most stable one, which is 0.7768 and 0.8171 respectively. They all passed the significance test of 0.01, which illustrate the result's credibility, that's to say, using FY-3A/VIRR to monitor the drought condition is feasible. Moreover, aiming at the different land cover types and landform types, Chongqing is divided into four categories:crops, crop in little undulate terrain, mixed forest, mixed forest in moderate undulate terrain.Vegetation Water Supply index method is more suitable for the large area drought monitoring.
参考文献/References:
[1] 朱琳,刘健,张晔萍,等.FY-3A/MERSI数据在中国北方干旱监测中的应用[J].遥感学报,2010,14(5):1004-1016.
[2] 倪波顺,高阳华,李月臣,等.基于FY-3A/VIRR数据的重庆市干旱监测研究[J].西南大学学报,2014,36(7):143-147.
[3] 高伟,林妍,潘新华.基于多源遥感卫星数据的桂西北旱情监测研究[J].广西水利水电,2014,(1):20-24.
[4] 鲍艳松,毛飞,闵锦忠,等.基于FY-3B/MWRI数据的裸土区土壤湿度反演[J].国土资源遥感,2004,26(4):131-137.
[5] 姜琳,冯文兰,刘志红,等.FY-3A/MERSI与MODIS的温度植被干旱指数反演及对比分析[J].水土保持研究,2014,21(3):231-241.
[6] 蒋友严,韩涛,徐燕,等.基于多源卫星数据的3中干旱遥感监测效果比较[J].干旱地区农业研究,2014,32(2):47-51.
[7] 王颖,李国春,高阳华,等.FY-3A/MERSI数据在重庆市伏旱监测中的应用[J].现代农业科技,2011,(10):271-273.
[8] Ehrlich D,Estes J E,Singh A.Application of NOAA-AVHRR 1000M data for environmental monitoring[J].Remote Sensing,1994,15(1):145-161.
[9] Ghulam A, Qin Q M,Zhan Z M. Designing of the perpendicular drought index[J]. Environmental Geology, 2007, 52(6): 1045-1052.
[10] Koike T, Fujii H, Ohta T,et al.Development and validation of TMI algorithms for soil moisture and snow[C].Remote Sensing &Hydrology 2000. New Mexico, USA: Proc.of a symposium held at Santa Fe,2000: 390-393.
[11] Palmer W C. Keeping track of crop moisture conditions, nationwide: The new crop moisture index[J]. Weatherwise, 1968,21(4): 156-161.
[12] Ramesh P S, Sudipa R,Kogan F N. Vegetation and temperature condition indices from NOAA/AVHRR data for drought monitoring over India[J]. International Journal of Remote Sensing, 2003, 24(22): 4393-4402.
[13] Kogan SRF,Corresponding RPS. Application of vegetation index and brightness temperature for drought detection[J]. Advances in Space Research, 1995, 15(1): 91-100.
[14] 陈怀亮,邹春辉,邓伟,等.植被温度条件指数在土壤墒情遥感监测中的应用[J].气象科技,2005,(S1):148-150.
[15] 陈修治,苏泳娴,李勇,等.基于被动微波遥感的中国干旱动态监测[J].农业工程学报,2013,29(16):151-158.
[16] 陈艳英.基于MODIS和FY-3A的重庆2010年夏季干旱监测及评价[C].创新驱动发展提高气象灾害防御能力——s7应对气候变化与农业气象防灾减灾.北京:中国气象学会,2013:1-8.
[17] 杜灵通,田庆久,王磊,等.基于多源遥感数据的综合干旱监测模型构建[J].农业工程学报,2014,30(9):126-132.
[18] 侯英雨,何延波,柳钦火,等.干旱监测指数研究[J].生态学杂志,2007,26(6):892-897.
[19] 李峰,赵玉金,赵红,等.FY-3A/MERSI数据在山东省农田干旱监测汇总的应用[J].干旱气象,2014,32(1):18-22.
[20] 李紫甜.基于风云三号热红外资料的地表温度反演方法研究[D].南京,南京信息工程大学,2014:15-20.
[21] 刘欢,刘荣高,刘世阳.干旱遥感监测方法及其应用发展[J].地球信息科学学报,2012,14(2):232-239.
[22] 路京选,曲伟,付俊娥.国内外干旱遥感监测技术发展动态综述[J].中国水利水电科学研究院学报,2009,7(2):265-271.
[23] 莫伟华,王振会,孙涵,等.基于植被供水指数的农田干旱遥感监测研究[J].南京气象学院学报,2006,29(3):396-401.
[24] 冷松,武建军,周磊.利用多波段遥感干旱监测方法研究[J].干旱区资源与环境,2013,27(2):102-107.
[25] 王鹏新,孙威.基于植被指数和地表温度的干旱监测方法的对比分析[J].北京师范大学学报,2007,43(3):319-322.
[26] Carlson T N, Gilles R R,Perry E M. A method to make use of thermal infrared temperature and NDVI measurement to infer surface soil water content and fractional vegetation cover[J]. Remote Sensing of Environment, 1994, 9(1):161-173.
[27] 向大亨,刘良明,韩涛.FY-3AMERSI数据干旱监测能力评价[J].武汉大学学报,2010.53(3):334-338.
[28] 闫娜,李登科,杜继稳,等.基于MODIS产品LST/NDVI/EVI的陕西旱情监测[J].自然灾害学报,2009,19(4):178-182.
[29] 杨丽萍,乌日娜,闫伟兄.利用植被供水指数法监测干旱的研究[J].干旱环境监测,2007,21(4):226-228.
[30] 易佳,高阳华,杨世琦,等.MODIS-EVI时间序列重庆夏季干旱研究[J].安徽农业科学,2010,38(35):20093-20095.
[31] 张红卫,陈怀亮,申双和,等.NDVI-LST特征空间及干湿边变化特征[J].气象科技,2010,38(1):87-95.
[32] 赵丽荣,武伟,刘洪斌,等.基于温度植被指数法的农业干旱研究[J].西南师范大学学报:自然科学版,2009,34(2):80-84.
[33] 李晓兵,史培军.基于NOAA/AVHRR数据的中国主要植被类型NDVI变化规律研究[J].植物学报,1999,41(3):314-324.
相似文献/References:
[1]廖洪涛,肖天贵,魏 微,等.东亚梅雨季低频波波包传播特征[J].成都信息工程大学学报,2019,(02):143.[doi:10.16836/j.cnki.jcuit.2019.02.008]
LIAO Hongtao,XIAO Tiangui,WEI Wei,et al.Low Frequency Wave Packet Propagation
Characteristics in East Asian Meiyu Season[J].Journal of Chengdu University of Information Technology,2019,(06):143.[doi:10.16836/j.cnki.jcuit.2019.02.008]
[2]王雨歌,郑佳锋,朱克云,等.一次西南涡过程的云-降水毫米波云雷达回波特征分析[J].成都信息工程大学学报,2019,(02):172.[doi:10.16836/j.cnki.jcuit.2019.02.011]
WANG Yuge,ZHENG Jiafeng,ZHU Keyun,et al.Analysis of Cloud-Precipitation Echo Characteristics of a Southwest Vortex[J].Journal of Chengdu University of Information Technology,2019,(06):172.[doi:10.16836/j.cnki.jcuit.2019.02.011]
[3]青 泉,罗 辉,陈刚毅.基于L波段秒级探空数据V-3θ图形的四川盆地暴雨预报模型研究[J].成都信息工程大学学报,2019,(02):186.[doi:10.16836/j.cnki.jcuit.2019.02.013]
QING Quan,LUO Hui,CHEN Gangyi.Forecasting Model of Torrential Rain in Sichuan Basin based on V-3θ
Structural Graphs of L-Band Second Level Sounding Data[J].Journal of Chengdu University of Information Technology,2019,(06):186.[doi:10.16836/j.cnki.jcuit.2019.02.013]
[4]吴秋月,华 维,申 辉,等.基于湿位涡与螺旋度的一次西南低涡强降水分析[J].成都信息工程大学学报,2019,(01):63.[doi:10.16836/j.cnki.jcuit.2019.01.013]
WU Qiuyue,HUA Wei,SHEN Hui,et al.Diagnostic Analysis of a Southwest Vortex Rainstormbased on Moist Potential Vorticity and Helicity[J].Journal of Chengdu University of Information Technology,2019,(06):63.[doi:10.16836/j.cnki.jcuit.2019.01.013]
[5]李潇濛,赵琳娜,肖天贵,等.2000-2015年青藏高原切变线统计特征分析[J].成都信息工程大学学报,2018,(01):91.[doi:10.16836/j.cnki.jcuit.2018.01.016]
LI Xiao-meng,ZHAO Lin-na,XIAO Tian-gui,et al.Statistical Characteristics Analysis of the Shear Linein the Qinghai-Tibet Plateau from 2000 to 2015[J].Journal of Chengdu University of Information Technology,2018,(06):91.[doi:10.16836/j.cnki.jcuit.2018.01.016]
[6]喻乙耽,马振峰,范广洲.华西秋雨气候特征分析[J].成都信息工程大学学报,2018,(02):164.[doi:10.16836/j.cnki.jcuit.2018.02.011]
YU Yi-dan,MA Zhen-feng,FAN Guang-zhou.The Analysis of Climatic Feature of Autumn Rainfall in West China[J].Journal of Chengdu University of Information Technology,2018,(06):164.[doi:10.16836/j.cnki.jcuit.2018.02.011]
[7]孙康慧,巩远发.20世纪70年代末云南省雨季降水的突变及原因分析[J].成都信息工程大学学报,2018,(02):177.[doi:10.16836/j.cnki.jcuit.2018.02.012]
SUN Kang-hui,GONG Yuan-fa.Abrupt Change of Precipitation in Rainy Season in YunnanProvince in Late 1970s and its Cause Analysis[J].Journal of Chengdu University of Information Technology,2018,(06):177.[doi:10.16836/j.cnki.jcuit.2018.02.012]
[8]吴树炎,顾建峰,刘海文,等.高原冬季雪深与重庆夏季降水的年际关系研究[J].成都信息工程大学学报,2018,(02):184.[doi:10.16836/j.cnki.jcuit.2018.02.013]
WU Shu-yan,GU Jian-feng,LIU Hai-wen,et al.Interannual Relationship between Winter Snow Depth over TibetanPlateau and Summer Precipitation over Chongqing[J].Journal of Chengdu University of Information Technology,2018,(06):184.[doi:10.16836/j.cnki.jcuit.2018.02.013]
[9]魏 凡,李 超.利用气象雷达信息划设雷暴飞行限制区的方法研究[J].成都信息工程大学学报,2018,(02):205.[doi:10.16836/j.cnki.jcuit.2018.02.016]
WEI Fan,LI Chao.Study on the Method of Setting Up Limited Flying area ofThunderstorm by Using Weather Radar Information[J].Journal of Chengdu University of Information Technology,2018,(06):205.[doi:10.16836/j.cnki.jcuit.2018.02.016]
[10]朱 莉,张腾飞,李华宏,等.云南一次短时强降水过程的中尺度特征及成因分析[J].成都信息工程大学学报,2018,(03):335.[doi:10.16836/j.cnki.jcuit.2018.03.017]
ZHU Li,ZHANG Teng-fei,LI Hua-hong,et al.Analysis on Meso-scale Features and Forming Reasons of a Short TimeIntensive Precipitation Case in Yunnan Province[J].Journal of Chengdu University of Information Technology,2018,(06):335.[doi:10.16836/j.cnki.jcuit.2018.03.017]
备注/Memo
收稿日期:2016-05-09 基金项目:国家自然科学基金资助项目(41471305); 四川省杰出青年基金培育资助项目(2015JQ0037); 重庆市气象局开放基金资助项目(kfjj-201402); 四川省教育厅创新团队资助项目(16TD0024); 重庆市科委资助项目(CSTC2016ShmSZX00006)