首页> 外文会议>Asian Conference on Remote Sensing(ACRS2006) vol.1; 20061009-13; Ulaanbaatar(MN) >APPLICATION OF SATELLITE DATA AND GEOGRAPHIC INFORMATION SYSTEM FOR DROUGHT RISK AREA ANALYSIS IN BANDANLANHOI DISTRICT, SUKHOTHAI PROVINCE
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APPLICATION OF SATELLITE DATA AND GEOGRAPHIC INFORMATION SYSTEM FOR DROUGHT RISK AREA ANALYSIS IN BANDANLANHOI DISTRICT, SUKHOTHAI PROVINCE

机译:卫星数据和地理信息系统在干旱地区班丹兰霍地区的干旱风险区域分析中的应用

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摘要

The objectives of this study are application of satellite data and geographic information system for drought risk area analysis in Bandanlanhoi district, Sukhothai province. The study area covered 100 Sq.km and some part of villages number 1, 2, 3, 4, 5, 6 and 7 which belonged to Bandan subdistrict, villages number 1, 2, 3, 4 and 8 which belonged to Lanhoi subdistrict, village number 1 which belonged to Wungtako subdistrict, villages number 2 and 4 which belonged to Wungluek subdistrict and villages number 1 and 2 which belonged to Nongyapong subdistrict. Satellite data was applied for creation spatial data and other data such as land use and distance from water body were used for determination the drought risk area. Geographic Information System was applied to simulation spatial data such as rainfall, rainy days, relative humidity, temperature, groundwater potential, distance from water body, slope, elevation and soil drainage data. The procedure of stepwise regression model, All physical spatial data cause of drought risk area had been analysed by the stepwise regression model and showed that the well soil drainage and rainfall are important parameters. Especially, The well soil drainage is the most important parameter for determination drought risk area. Drought model was calculated from all spatial parameters by running stepwise multiple regression. The result of map accuracy was showed 58% correction.
机译:这项研究的目的是将卫星数据和地理信息系统用于素可泰省班丹兰霍伊地区的干旱风险区域分析。研究区域占地100平方公里,属于班丹分区的1、2、3、4、5、6和7号村庄的一部分,属于兰霍伊分区的1、2、3、4和8号村庄的一部分,属于Wungtako街区的1号村,属于Wungluek街区的2号村和4个村,属于Nongyapong街区的1号村和2村。卫星数据用于创建空间数据,而其他数据(例如土地利用和距水体的距离)用于确定干旱风险区域。地理信息系统被用于模拟空间数据,例如降雨,雨天,相对湿度,温度,地下水位,距水体的距离,坡度,海拔和土壤排水数据。逐步回归模型的过程,通过逐步回归模型分析了干旱风险区的所有物理空间数据,表明井眼土壤排水和降雨是重要的参数。特别是井水排水是确定干旱风险区的最重要参数。通过运行逐步多元回归从所有空间参数计算干旱模型。地图精度的结果显示出58%的校正率。

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