PDF Download

[1]WU Li.Classification of Drought Grades Based on Temperature Vegetation Drought Index Using the MODIS Data[J].Research of Soil and Water Conservation,2017,24(03):130-135.

Copy

Classification of Drought Grades Based on Temperature Vegetation Drought Index Using the MODIS Data

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 03 Page number: 130-135 Column: Public date: 2017-06-28

Title:: Classification of Drought Grades Based on Temperature Vegetation Drought Index Using the MODIS Data

Author(s):: WU Li; Remote Sensing Technique Center, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China

Keywords:: temperature vegetation drought index; MODIS; drought; classification of grades; Heilongjiang Province

CLC:: S423

DOI:: -

Abstract:: MODIS data from June to September were used to calculate temperature vegetation drought index (TVDI). We selected TVDI data of 40 dry farming sites as the research objects which is in ten days as a unit of TVDI over the past 15 years. According to the agricultural drought grade division standard of soil relative humidity, TVDI drought monitoring level was set. The results show that the TVDI can be divided into 5 levels. TVDI < 0.46 for no drought，TVDI between 0.46 to 0.57 for the light drought，TVDI between 0.57~0.76 for the middle drought, 0.76~0.86 in the TVDI for the heavy drought, TVDI≥0.86 for the special drought. Meanwhile, the agricultural drought grade division standard was verified by the soil relative humidity data of field survey in 2011. Results showed that the accuracy of the verified results reached to 83%, which demonstrates that the classification of TVDI is suitable and practical.

References:: [1] 毛学森,张永强,沈彦俊.水分胁迫对冬小麦植被指数NDVI影响及其动态变化特征[J].干旱地区农业研究,2002,20(1):69-71.
[2] 韩丽娟,王鹏新,王锦地,等.植被指数-地表温度构成的特征空间研究[J].中国科学D辑:地球科学,2005,35(4):371-377.
[3] 刘良云,张兵,郑兰芬.利用温度和植被指数进行地物分类和土壤水分反演[J].红外与毫米波学报,2002,21(4):269-273.
[4] 姚春生,张增祥,汪潇.使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J].遥感技术与应用,2004,19(6):473-478.
[5] 王鹏新,龚健雅,李小文.条件植被温度指数及其在干旱监测中的应用[J].武汉大学学报信息科学版,2001,26(5):412-418.
[6] 齐述华,王长耀,牛铮.利用温度植被旱情指数(TVDI)进行全国旱情监测研究[J].遥感学报,2003,7(5):420-427.
[7] 莫伟华,王阵会,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.
[8] 范辽生,姜纪红,盛晖,等.利用温度植被干旱指数(TVDI)方法反演杭州伏旱期土壤水分[J].中国农业气象,2009,30(2):230-234.
[9] 中华人民共和国国家质量监督检验检疫总局. GB/T20481-2006中华人民共和国国家标准:气象干旱,等级[S].北京:中国标准出版社,2006.
[10] Price J C. Using spatial context in satellite data to infer regional scale evapotranspiration[J]. Transactions on Geoscience and Remote Sensing, 1990,28:940-948.
[11] Nemani R R, Pierce L, Running S W. Developing satellite-derived estimates of surface moisture status[J]. Journal of Applied Meteorology, 1993,32(3):548-557.
[12] Moron M S, Clarke T R, Inoue Y, et al. Estimating crop water deficit using the relation between surface air temperature and spectral vegetation index[J]. Remote Sensing of Environment, 1994,49:246-263.
[13] Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature-vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment, 2002,79:213-224.
[14] Moran M S, Clarke T R, Inoue Y, et al. Estimating crop water deficit using the relation between surface air temperature and spectral vegetation index[J]. Remote Sensing of Environment, 1994,49:246-263.
[15] 赵选民,徐伟,师义民,等.数理统计[M].北京:科学出版社,1997.
[16] 范金城,梅长林.数据分析[M].北京:科学出版社,2002.

Similar References:

Memo

Last Update: 1900-01-01