Application and Comparison of Several Drought Monitoring Models in Northern Shaanxi

doi:10.3969/j.issn.1000-6362.2014.01.015

Chinese Journal of Agrometeorology ›› 2014, Vol. 35 ›› Issue (01): 97-102.doi: 10.3969/j.issn.1000-6362.2014.01.015

• 论文 • Previous Articles Next Articles

Application and Comparison of Several Drought Monitoring Models in Northern Shaanxi

LI Jing,WANG Lian xi,SHEN Cheng,LI Qi,LI Deng ke

1Jiangning Meteorological Bureau,Nanjing211100,China;2Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control/School of Environmental Science and Engineering,Nanjing University of Information Science and Technology,Nanjing210044;3Nanjing Meteorological Bureau,Nanjing210009;4Shaanxi Remote Sensing Information Center for Agriculture,Xi′an710014

Received:2013-06-09 Online:2014-02-20 Published:2015-02-10

Abstract

Abstract: Based on soil moisture and its MODIS data in different depth from 20 soil monitoring stations in north Shaanxi,three kinds of drought remote sensing indices,including the modify energy index(MEI),perpendicular drought index(PDI)and the surface water capacity index(SWCI),was calculated,and the spatial distribution of droughts with different grades was formed.The results showed that 20cm was the best depth for monitoring soil moisture by three drought remote sensing models,followed by 10cmA dynamic inverse of relative soil moisture during the growing season from April to September in 2008 showed that all of the three indices could monitor soil moisture and drought proper and timely in region.So they are suitable for this study area.

Key words: Drought remote sensing, Relative soil moisture, Surface water capacity index(SWCI), Modify energy index(MEI), Perpendicular drought index

LI Jing,WANG Lian xi,SHEN Cheng,LI Qi,LI Deng ke. Application and Comparison of Several Drought Monitoring Models in Northern Shaanxi[J]. Chinese Journal of Agrometeorology, 2014, 35(01): 97-102.

References

[1]刘惠敏，马小群，孙秀帮.安徽省MODIS干旱监测技术研究[J].气象，2010，36(4)：111-115.
[2]雷向杰，蔡新玲，王娜.气象灾害灾情评估指标研究与应用：以陕西为例[J].灾害学，2011，26(3)：22-27.
[3]杜继稳，王小宁，雷向杰，等.陕北气象灾害与生态环境治理[J].灾害学，2001，16(1)：71-77.
[4]贺俊杰，王英舜，李云鹏，等.利用EOS/MODIS植被供水指数监测锡林郭勒地区土壤湿度[J].中国农业气象，2013，34(2)：243-248.
[5]闫娜，杜继稳，李登科，等.干旱遥感监测方法研究应用进展[J].灾害学，2008，23(4)：119-121.
[6]Fensholt R，Sandholt I. Derivation of a shortwave infrared water stress index from MODIS near and shortwave infrared data in a semiarid environment[J].Remote Sensing of Environment，2003，87(1)：111-121.
[7]Khanna S.　Development of angle indexes for soil moisture estimation，dry matter detection and land-cover discrimination[J].Remote Sensing of Environment，2007，109(2)：154-165.
[8]匡昭敏，朱伟军，黄永磷，等.广西喀斯特干旱农业区干旱遥感监测模型研究[J].自然灾害学报，2009，18(1)：112-117.
[9]江东，付晶莹，庄大方，等.2008-2009年中国北方干旱遥感动态监测[J].自然灾害学报，2012，21(3)：92-101.
[10]Ghulam A，Li Z L，Qin Q，et al. Estimating crop water stress with ETM+ NIR and SWIR data[J].Agricultural and Forest Meteorology，2008，148(11)：1679-1695.
[11]Ceccato P，Flasse S，Tarantola S，et al. Detecting vegetation leaf water content using reflectance in the optical domain[J].Remote Sensing of Environment，2001，77(1)：22-33.
[12]杜晓，王世新，周艺，等.一种新的基于MODIS的地表含水量模型构造与验证[J].武汉大学学报(信息科学版)，2007，32(3)：205-208．
[13]李喆，谭德宝，崔远来，等.基于PDI的湖北漳河灌区土壤含水量遥感监测[J].人民长江，2010，41(1)：92-95.
[14]张文宗，姚树然，赵春雷，等．利用MODIS 资料监测和预警干旱新方法[J].气象科技，2006，34(4)：501-504．
[15]张芳.基于MODIS的陕西省干旱遥感监测研究[D].西安：陕西师范大学，2009：50.
[16]杨延征，赵鹏祥，郝红科，等.基于SPOT-VGT NDVI 的陕北植被覆盖时空变化[J].应用生态学报，2012，23(7)：1897-1903.
[17]宋富强，邢开雄，刘阳.基于MODIS／NDVI的陕北地区植被动态监测与评价[J].生态学报，2011，31(2)：354-363.
[18]张红卫，陈怀亮，申双和，等.基于表层水分含量指数（SWCI）的土壤干旱遥感监测[J].遥感技术与应用，2008，23(6)：625-628.
[19]张学艺，李剑萍，秦其明，等.几种干旱监测模型在宁夏的对比应用[J].农业工程学报，2009，25(8)：18-23.

Application and Comparison of Several Drought Monitoring Models in Northern Shaanxi

PDF (PC)

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 3

Recommended Articles

Metrics

Comments

[1]	LIU Dong-ming, WU Men-xin, HOU Ying-yu, CHEN Peng-shi, ZHANG Wei-wei, WANG He-ran. Evaluation and Verification of CLDAS Relative Soil Moisture Products during Growing Season in Liaoning Province [J]. Chinese Journal of Agrometeorology, 2022, 43(01): 17-27.
[2]	WANG Wei-dan, SUN Li, PEI Zhi-yuan, CHEN Yuan-yuan. Performances of Remote Sensing Monitoring Indices of Agricultural Drought in Growing Season of Typical Dry Year in Northeast China [J]. Chinese Journal of Agrometeorology, 2021, 42(04): 307-317.
[3]	CHEN Jin-hua,YANG Tai-ming,MA Xiao-qun,CHEN Xiao-yi (Institute of Meteorological Science of Anhui Province,Hefei 230031,China). A Dynamic Simulation on Soil Moisture in North of Yangtze River in Anhui Province [J]. Chinese Journal of Agrometeorology, 2007, 28(03): 289-291.