CAJ | 학술논문

土壤中的水分是地球生态系统的重要组成部分,在全球水循环中发挥着重要的作用。基于被动微波数据提取的湿度指数因其具有全天候、高时间分辨率和数据处理简单等优点,大大推进了大范围地区土壤湿度的重复观测。基于AMSR-E(advanced microwave scanning radiometer-earth observing system)数据提取了8种微波湿度指数,利用密云和汉中气象台站的数据,分别对各个微波湿度指数进行时间序列分析,通过比较得到与降水量相关性较好的垂直极化多时相微波湿度指数PIV,6.9和比值指数DIV,10.7；在此基础上,分析该2种微波湿度指数在密云和汉中10像元×12像元矩形区域随降水量的变化；同时,与10.7 GHz的微波极化差异指数( microwave polarization difference index,MPDI)进行比较,评价3种指数对土壤湿度的监测优劣；在全国范围内,分别对3种微波湿度指数与降水量进行相关分析,得到全国土壤湿度监测的最优指数。结果表明： PIV,6.9作为一种新的微波湿度指数效果最优,可以用于全国范围的土壤湿度监测研究。
토양중적수분시지구생태계통적중요조성부분,재전구수순배중발휘착중요적작용。기우피동미파수거제취적습도지수인기구유전천후、고시간분변솔화수거처리간단등우점,대대추진료대범위지구토양습도적중복관측。기우AMSR-E(advanced microwave scanning radiometer-earth observing system)수거제취료8충미파습도지수,이용밀운화한중기상태참적수거,분별대각개미파습도지수진행시간서렬분석,통과비교득도여강수량상관성교호적수직겁화다시상미파습도지수PIV,6.9화비치지수DIV,10.7；재차기출상,분석해2충미파습도지수재밀운화한중10상원×12상원구형구역수강수량적변화；동시,여10.7 GHz적미파겁화차이지수( microwave polarization difference index,MPDI)진행비교,평개3충지수대토양습도적감측우렬；재전국범위내,분별대3충미파습도지수여강수량진행상관분석,득도전국토양습도감측적최우지수。결과표명： PIV,6.9작위일충신적미파습도지수효과최우,가이용우전국범위적토양습도감측연구。
Soil moisture is a very important part of earth ecosystem and plays an important role in global water cycle. Passive microwave has advantages of all-weather and high temporal resolution, and its data processing is simple; therefore soil moisture index extracted from passive microwave data greatly promote the repeated observations of soil moisture in large areas. 8 kinds of microwave remote sensing soil moisture indices were extracted from AMSR-E data, half of which were put forward in the past and half of which were newly raised. And then their variation trends were compared with each other at Miyun and Hanzhong, the two meteorological stations, and the data obtained showed that PIV,6. 9 and DIV,10. 7 were respectively related to the precipitation. Afterwards, the precipitation monitoring of PIV,6. 9 , DIV,10. 7 and MPDI10. 7 at two 10 pixels × 12 pixels rectangle areas, including Miyun and Hanzhong respectively, were comparatively studied. Finally, precipitation on August 21th was interpolated in the whole country, and distributions of precipitation and three soil moisture indices were comparatively analyzed, which were PIV,6. 9 , DIV,10. 7 and MPDI10. 7 . The result shows that PIV,6. 9 seems to be the best index for soil moisture monitoring, and also the best choice in soil moisture monitoring in China at present.