摘要
利用2006年7～8月的NOAA/AVHRR数据,依据温度植被干旱指数（TVDI）对2006年四川伏旱进行监测与评估.采用了干旱监测合成滤云新技术,分析了Ts-NDVI特征空间属性和TVDI指数干旱监测能力,提出了四川伏旱TVDI计算模型、分级标准、和影响评估方法,结果表明：1）按最大地表温度原则得到的旬合成数据比按最大植被指数原则得到的旬合成数据具有更强的旱情监测能力;2）在Ts-NDVI特征空间中当NDVI较小时干湿边几乎同为水平直线,两者相差约45℃;3）TVDI指数因其大小不同而对旱情的监测能力也不一样,较小时说明没有干旱发生,较大时则一定有干旱发生,中间段对干旱的监测具有不确定性;4）2006年四川伏旱遥感监测与气候监测结果基本一致,农作物受旱面积与饮水困难人口数估算误差在10%以内.
Utilizing the NOAA/AVHRR data of July and Auguest of 2006, according to the temperature vegetation dryness index （TVDI）, the Sichuan hot-drought in 2006 has been monitored and estimated. The article adopted a new filtering-cloud composing technology used to monitoring drought, analyzed the property of Ts--NDVI characteristic space and the TVDI＇s indicating drought ability, put forward the TVDI compute model, grade standard, and the impact estimation method. The result indicated： 1） the decade-composed data obtained by the maximum surface temperature principle has better ability than the composed data obtained by the maximum NDVI on monitoring drought; 2） in the Ts--NDVI characteristic space,the dry side and the wet side almost are horizontal lines when the NDVI is on the small side, the temperature difference is about 45℃ ; 3） the TVDI has inequable level on monitoring drought as its value, the less TVDI indicates without drought occurrence, the bigger TVDI shows the drought certainly happened, the unsure drought conclusion mainly comes from the middle TVDI; 4） the monitored results of Sichuan hot-drought in 2006, obtained by the remote sensing and by the climate index, are basically consistent, the estimating error on the bearing drought crop area and on the drinking trouble population is within 10%.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2007年第9期141-146,F0004,共7页
Transactions of the Chinese Society of Agricultural Engineering
基金
中国气象局项目"干旱监测评估业务平台建设"
"省级生态与农业气象业务服务系统建设"
四川省气象局项目"四川盆地干旱灾害损失评估方法与应用研究"
关键词
干旱
TVDI指数
遥感监测
影响评估
四川
drought
TVDI Index
remote sensing monitoring
impact estimation
Sichuan province
