Please wait a minute...
 
Remote Sensing for Land & Resources    2018, Vol. 30 Issue (1) : 180-186     DOI: 10.6046/gtzyyg.2018.01.25
Orginal Article |
Research on agriculture drought monitoring method of Henan Province with multi-sources data
Junxia WANG1(), Xiufang ZHU2,3,4(), Xianfeng LIU5, Yaozhong PAN1,3,4
1. State Key Laboratory of Remote Sensing Science, Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China
2. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
3. Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China
4. Beijing Engineering Research Center for Global Land Remote Sensing Products, Beijing Normal University, Beijing 100875, China
5. College of Tourism and Environment, Shaanxi Normal University, Xi’an 710062, China;
Download: PDF(925 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

Henan Province was therefore chosen as the study area in this paper. The temperature condition index (TCI),vegetation condition index (VCI) and rainfall condition index (TRCI) were calculated by using the EOS-MODIS surface temperature product MOD11A2,vegetation index products MOD13A3 and tropical rainfall measuring mission’s monthly rainfall rate data TRMM3B43 from 2005 to 2014. Then an agricultural drought index (ADI) monitoring model was built up by weighing these three indices and the weights were determined by using analytic hierarchy process (AHP) analysis method. Grading indices of ADI were derived in terms of the classification scales of drought for standardized precipitation index (SPI) which were authorized by national standard. Finally,the ADI monitoring model was constructed to analyze the drought situation in Henan Province in 2014. The results indicate that the ADI proposed in this paper can well capture the temporal and spatial characteristics of the drought situation in Henan Province.
Keywords multi-source RS data      agricultural drought index      drought assessment      Henan Province     
:  TP79  
Issue Date: 08 February 2018
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Junxia WANG
Xiufang ZHU
Xianfeng LIU
Yaozhong PAN
Cite this article:   
Junxia WANG,Xiufang ZHU,Xianfeng LIU, et al. Research on agriculture drought monitoring method of Henan Province with multi-sources data[J]. Remote Sensing for Land & Resources, 2018, 30(1): 180-186.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.01.25     OR     https://www.gtzyyg.com/EN/Y2018/V30/I1/180
标度 定义(比较因素Ni与Nj)
1 因素Ni与Nj同样重要,Nij取值为1
3 因素Ni比Nj明显重要,Nij取值为3
5 因素Ni比Nj绝对重要,Nij取值为5
2,4 上述相邻判断的中间值
Tab.1  Meaning of five scales method
参量 SPI-1 SPI-3
VCI 0.168*① 0.252**②
TCI 0.521** 0.275**
TRCI 0.848** 0.412**
Tab.2  Correlation coefficients between remote sensing and meteorological parameters
参量 B1 B2 B3
B1 1 1/3 1/5
B2 3 1 1/2
B3 5 2 1
Tab.3  discriminant matrix(A1)
参量 B1 B2 B3
B1 1 1/3 1/4
B2 3 1 1/2
B3 4 2 1
Tab.4  discriminant matrix(A2)
参量 B1 B2 B3
B1 1 1/2 1/3
B2 2 1 1
B3 3 1 1
Tab.5  discriminant matrix(A3)
参量 SPI-1 SPI-3
ADI-1 0.839** 0.430**
ADI-2 0.835** 0.429**
ADI-3 0.803** 0.426**
Tab.6  Correlation coefficients between ADI-i and meteorological parameters
序号 等级名称 SPI ADI
1 无旱 (-0.5,+∞) (0.33,1]
2 轻旱 (-1.0,-0.5] (0.23,0.33]
3 中旱 (-1.5,-1.0] (0.13,0.23]
4 重旱 (-2.0,-1.5] (0.02,0.13]
5 特旱 (-∞,-2.0] (0,0.02]
Tab.7  Classification scales of drought for SPI and ADI index
月份 干旱等级 干旱比例
特旱 重旱 中旱 轻旱 无旱
1 6.94 62.24 25.58 3.23 2.01 97.99
2 0.00 0.10 0.03 0.62 99.23 0.75
3 2.99 46.87 37.10 11.33 1.70 98.29
4 0.00 0.02 0.08 0.20 99.71 0.30
5 0.02 0.72 7.46 19.14 72.66 27.34
6 0.09 2.60 11.07 20.71 65.52 34.47
7 8.90 31.98 26.09 20.89 12.13 87.86
8 1.14 7.62 11.85 16.89 62.50 37.50
9 0.00 0.00 0.03 0.16 99.81 0.19
10 0.00 0.10 1.86 8.13 89.91 10.09
11 0.00 0.11 3.75 12.54 83.61 16.40
12 0.55 34.66 44.50 18.65 1.64 98.36
Tab.8  Statistics of drought conditions(%)
Fig.1  Drought map of Henan Province in 2014 monitored by ADI index
地区 城市 6月 7月 8月 地区 城市 6月 7月 8月
豫中 郑州 轻度 +++① +++ 济源 轻度 +++ ***
许昌 轻度 +++ +++ 豫南 信阳 中度 ===③ ***
漯河 无旱 +++ ***② 驻马店 轻度 +++ ***
平顶山 中度 +++ *** 南阳 无旱 +++ ***
豫北 安阳 无旱 +++ *** 豫西 三门峡 无旱 +++ ===
鹤壁 无旱 +++ *** 洛阳 中度 +++ ***
新乡 无旱 +++ *** 豫东 开封 轻度 +++ ***
焦作 无旱 +++ *** 商丘 重度 === ***
濮阳 中度 *** +++ 周口 中度 +++ ***
Tab.9  Development trend of summer drought of Henan Province in 2014
[1] 张强,姚玉璧,李耀辉,等.中国西北地区干旱气象灾害监测预警与减灾技术研究进展及其展望[J].地球科学进展,2015,30(2):196-213.
[1] Zhang Q,Yao Y B,Li Y H,et al.Research progress and prospect on the monitoring and early warning and mitigation technology of meteorological drought disaster in Northwest China[J].Advances in Earth Science,2015,30(2):196-213.
[2] 刘宪锋,朱秀芳,潘耀忠,等.农业干旱监测研究进展与展望[J].地理学报,2015,70(11):1835-1848.
[2] Liu X F,Zhu X F,Pan Y Z,et al.Agricultural drought monitor:Progress,challenges and prospect[J].Acta Geographica Sinica,2015,70(11):1835-1848.
[3] 邱海军,曹明明,郝俊卿,等.1950—2012年中国干旱灾情频率-规模关系分析[J].地理科学,2013,33(5):576-580.
[3] Qiu H J,Cao M M,Hao J Q,et al.Relationship between frequency and magnitude of drought damage in China in 1950—2010[J].Scientia Geographica Sinica,2013,33(5):576-580.
[4] Rhee J,Im J,Carbone G J.Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data[J].Remote Sensing of Environment,2010,114(12):2875-2887.
[5] Hao Z,Aghakouchak A.A nonparametric multivariate multi-index drought monitoring framework[J].Journal of Hydrometeorology,2014,15(1):89-101.
[6] Zhang A Z,Jia G S.Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data[J].Remote Sensing of Environment,2013,134:12-23.
[7] Tadesse T,Wilhite D A,Harms S K,et al.Drought monitoring using data mining techniques:A case study for Nebraska,USA[J].Natural Hazards,2004,33(1):137-159.
[8] 李天祺. 基于MODIS陆地产品的河南省旱灾监测方法研究[D].北京:北京师范大学,2015.
[8] Li T Q.Study on Agricultural Drought Monitoring in Henan Province Based on MODIS Products[D].Beijing:Beijing Normal University,2015.
[9] 杜灵通. 基于多源空间信息的干旱监测模型构建及其应用研究[D].南京:南京大学,2013.
[9] Du L T.Drought Monitoring Model Based on Multi-Source Spatial Information and Its Application[D].Nanjing:Nanjing University,2013.
[10] 田庆久,闵祥军.植被指数研究进展[J].地球科学进展,1998,13(4):327-333.
[10] Tian Q J,Min X J.Advances in study on vegetation indices[J].Advance in Earth Sciences,1998,13(4):327-333.
[11] Kogan F N.Remote sensing of weather impacts on vegetation in non-homogeneous areas[J].International Journal of Remote Sensing,1990,11(8):1405-1419.
[12] 李嘉力,卢远,金健,等.基于TVDI的广西干旱遥感监测研究[J].大众科技,2014,16(6):21-23.
[12] Li J L,Lu Y,Jin J,et al.Drought monitoring in Guangxi based on TVDI[J].Popular Science and Technology,2014,16(6):21-23.
[13] Kogan F N.Application of vegetation index and brightness temperature for drought detection[J].Advances in Space Research,1995,15(11):91-100.
[14] McKee T B,Doesken N J,Kleist J.The relationship of drought frequency and duration to time scales[C]//Proceedings of the 8th Conference of Applied Climatology.Anaheim,California:American Meteorological Society,1993.
[15] 马苏. 洞庭湖流域农业干旱遥感监测研究[D].长沙:湖南师范大学,2012.
[15] Ma S.Research on the Remote Sensed Monitoring of Agricultral Drought in the Lake Dongting Basin[D].Changsha:Hunan Normal University,2012.
[16] Theon J S.The tropical rainfall measuring mission(TRMM)[J].Advances in Space Research,1994,14(3):159-165.
[17] 胡明甫. AHP层次分析法及MATLAB的应用研究[J]. 钢铁技术, 2004(2):43-46.
[17] Hu M F.AHP analytic hierarchy process and the application of MATLAB[J]. Iron and Steel Technology, 2004(2):43-46.
[18] 李华朋,张树清,高自强,等.MODIS植被指数监测农业干旱的适宜性评价[J].光谱学与光谱分析,2013,33(3):756-761.
[18] Li H P,Zhang S Q,Gao Z Q,et al.Evaluating the utility of MODIS vegetation index for monitoring agricultural drought[J].Spectroscopy and Spectral Analysis,2013,33(3):756-761.
[19] 孙丽,王飞,李保国,等.基于多源数据的武陵山区干旱监测研究[J].农业机械学报,2014,45(1):246-252.
[19] Sun L,Wang F,Li B G,et al.Study on drought monitoring of Wuling Mountain area based on multi-source data[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(1):246-252.
[20] Lloyd-Hughes B,Saunders M A.A drought climatology for Europe[J].International Journal of Climatology,2002,22(13):1571-1592.
[21] 中华人民共和国水利部.SL 424—2008旱情等级标准[S].北京:中国水利水电出版社,2009.
[21] Ministry of Water Resources of the People’s Republic of China.SL 424—2008 Standard of Classification for Drought Severity[S].Beijing:China Water Power Press,2009.
[1] YANG Rui-xia, GUO Yang-shan, ZHAN Zhi-ming, WANG Chao. APPLICATION OF REMOTE SENSING TECHNIQUES IN ARCHAEOLOGICAL PROCESS, HENAN PROVINCE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2001, 13(2): 19-24，64.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech