Some Research Advances and Methods on Drought Monitoring By Remote Sensing

Abstract

Abstract:

In this paper.some research advances on drought monitoring method by remote sensing are introduced. meanwhile.some　ｖiews are pointed out and indicated that the drought monitoring should carry out a new way which combine many subjects in the　future．

Key words: advance, drought monitoring, method

摘要：

文中回顾了干旱监测研究的国内外进展‘总结了目前干旱监测的方法.并对未来进行干旱监测的发展方向谈了自己的认识同时指出了在干旱监测方而应该走多学科综合的道路。

关键词: 干旱监测;, 进展, 研究方法

CLC Number:

TP79

WANG Xiao-Beng, GUO Ni. Some Research Advances and Methods on Drought Monitoring By Remote Sensing[J]. J4, 2003, 21(4): 76-81.

王小平, 郭铌. 遥感监测干旱的方法及研究进展[J]. J4, 2003, 21(4): 76-81.

References

中国农科院资源区划所.减轻旱灾危害的设想和对策「z}.中
国灌溉排水发展中心，2002.
马蔼乃，薛勇.土壤含水量遥感信息模型的研究[Al.田国良.
黄河流域典型地区遥感动态研究[c}.北京:科学出版社，
1990.133一140.
Watson K, Rowen L C，Offield T W. Application of Thermal
Modeling in the Geologic Interpretation of IR Images[J].Remote
Sens Environ，1971 ,(3):2017一2041.
Watson K, Pohn H A. Thermal Inertia Mapping from Satellites
Discrimination of Geologic Unins in Oman [J].J Res Geol Surv-
ing，1974，2 (2):147一158.
Rose ma A. Result of the group agromet monitoring project[J].
ESA Journal，1986,(10):17一41.
Price J C. The potential of remotely sensed thermal infrared data
to infer surface soil moisture and evaporation[J].Water Resources
Research ,1980，16(4) :787一795.
Price J C. On the use of satellite data to infer surface fluxes at me-
teorological scales[J ].Journal of Applocation Meteorology，1982，
(21) :1111一1122.
Price) C. On the analysis of thermal infrared imagery:The limit-
ed utility of apparent thermal inertia[J].Remote Sensing of Envi-
ronment ,1985 , (18) :59一73.
隋洪智，田国良，李建军，等.热惯量法监测土壤水分「A].田国
良.黄河流域典型地}x.遥感动态研究[M].北京:科学出版社，
1990.122一131.
余涛，田国良.热惯量法在监测土壤表层水分中的研究[[J ] .遥
感学报，1997，1(1) :24一31.
宇都宫阳_郎，赵化昌，华润葵，等.利用NOAA卫星遥感编
制中国东北土壤水分分布图[J ] .遥感技术动态，1990,(4) :27
一30.
中广荣，田国良.作物缺水指数监测旱情方法研究[[J ].十旱地
}x_农业研究，1998 ,16(1) :123一128.
Jackson R D，Idso S B. Canopy temperature as a crop water
stress indicator [J].Water Resources Research，1981，(17):
1133一1138.
武晓波，阎守岂，田国良，等。在GIS支持下用NOAH/
AV HRR数据进行旱情监测[J].遥感学报，1998 ,2 (4): 280
一283.
Tim R ,Cicada ,David L B ,et al. The Current and Potential Oper-
ational Uses of Remote Sensing to Arid Decisions on Drought
Exceptional Circumstance in Australia:a Review [J],Agricultur-
al Systems,1998，57(3) :399一4G8.
Salinas一7avalaa C A，Doughlasb A V ,Diazc H F. Interannual
variability of NDVI in northwest Mexio. Associated climatic me-
chanicsms and eclolgical implications[J],Remote Sensing of En-
viromment_2002_(R21:417一430.
刘志明，张柏，晏明，等.土壤水分与干旱遥感研究的进展与
趋势[J].地球科学进展,2003 ,18(4) :576一583.
陈乾.用植被指数监测干旱并估算冬麦产量[J ].遥感技术与
应用，1994 ,9 (3):12一18.
晏明，刘志明.用植被指数对1997年吉林省旱灾的监测[A].
吉林省科学技术协会编.吉林省青年学术年会论文集「C].长
春:吉林大学出版社，1998.
陈维英，肖乾广，盛永伟.距平植被指数在1992年特大干旱
监测中的应用[[J ].环境遥感,1994,9(2) :106一112.
居为民，孙涵，汤志成.气象卫星遥感在干旱监测中的应用
[J].灾害学，1996,(4) :25一29.
普布次仁.归一化植被指数与降水量、土壤湿度的关系[[J ].气
象，1995 ,21 (12) :8一12.
张军涛，李哲，郑度.东北农牧交错区水分条件及其对植被分
布的影响[J].地理科学，2001 ,21 (4) :297一300.
Kogan F N. Remote sensing of weather impacts on vegetation in
no n一homogenous areas [J].International of Remote Sensing，
1990,(11):1045一1419.
蔡斌，陆文杰，郑新江.气象卫星条件植被指数监测土壤状况
[J].国土资源遥感,1995 , (4) :45一50.
Uganda L S ,Cogan F N. Drought monitoring and corn yield es-
timation in southern Africa from AV HRR data[J].Remote Sens-
ing of Environment ,1998 ,63(3):219一232.
董超华.气象卫星业务产品释用手册[M].北京:气象出版社，
1999.155一159.
Jackson R D，Discrimination of growth and water stress in wheat
by various vegetation indices through clear and turbid atmo-
spheres[J].Remote Sensing of Environment，1983,(13):187-
208.
陈维英，肖乾广，盛永伟.距平植被指数在1992年特大干旱监
测中的应用[J].环境遥感,1994,9(2) :106一112.
L EI Ji*，Albert J，Peters. Assessing vegetation response to
drought in the northernk C}eat Plains using vegetation and
dtought indices[J]，Remote sensing of Environment，2003，
(87) :85一98.
王鹏新，龚健雅，李小文.条件温度植被指数及其在干旱监测
中的应用[[J ].武汉大学学报唁息科学版，2001 ,26(5) :412 -
418.
王鹏新,WAN Zheng一mung，龚健雅，等.基于植被指数和地
表面温度的干旱监测模型[[J ].地球科学进展，2003 ,18 (4):
527一533.
蔡斌，陆文杰，郑新江.气象卫星条件植被指数监测土壤状况
[J].国土资源遥感,1995 ,7(4) :20一25.
Shutko A. Microwave radiomietry of lands under natural and ar-
tificial moistening[J].IEEE Transactions on Geoscience and Re-
mote Sensing，1982,(20) :18一26.
Ulaby F，Sarabandi K, Whitt M，et al .Michigan microwave
canopy scattering mode [J].International Journal of Remote
Sensing ,1990 ,11(7):1223一1253.
Ulaby F，Adam A，Dobson C. Effect of vegetation cover on the
radar sensitivity to soil moisture[J].IEEE Transactiona on Geo-
science and Remote Sensing，1982,20(4) :476一481.
田国良，李长乐，杨习荣，等.机载合成孔径雷达l冬l像监测土
壤水分的初步研究「A].田国良.黄河流域典型地卜_遥感动态
研究[C].北京:科学出版社，1990.102一110.
李杏朝.微波遥感监测土壤水分的研究初探[[J ] .遥感技术与
应用，1995 ,10(4) :1一 8.
Kustas W P,Zhan X,Schmugge TJ.Combining Optical and Mi-
crowave Remote Sensing for mapping energy fluxes in a semiarid
watershed[J]，REMOTE SENS ENVIRON,1998 ,(64) :116-
131.
Engm an E T. Progress in microwave remote sensing of soil
moisture，Canadian [J]. Journal of Remote sensing，1990，16
(3):6一14.

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