遥感信息
遙感信息
요감신식
2009年
6期
55-62
,共8页
二类水体%离水辐射率,叶绿素浓度%大气校正
二類水體%離水輻射率,葉綠素濃度%大氣校正
이류수체%리수복사솔,협록소농도%대기교정
case-Ⅱ water%water-leaving radiance%chlorophyll concentration%atmospheric correction
应用改进的大气校正方法对渤海海区的MODIS数据进行校正,并应用校正结果反演了自2000年至2006年各个年份12月份渤海表层水体的叶绿素浓度,同时选取4个近岸同期监测点的实测值对反演结果进行验证,通过对比反演值与实测值,发现除3号点位外,其余3个点位的相对误差值均较小于10%,证明了反演结果较为准确.将反演出的渤海表层海水叶绿素浓度按照0~1mg/m~3、1~2mg/m~3、2~3mg/m~3、大于3mg/m~3进行分类,并对分类后各个类别的面积转移矩阵进行统计分析得出以下结论;2000年~2001年、2002年~2003年、2003年~2004年以及2004年~2005年为研究区叶绿素浓度降低时段,但前两个时段的降低幅度要大于后两个时段.2001年~2002年以及2005年~2006年为研究区叶绿素浓度上升时段,这两个时段的上升幅度都很大.研究时段内低浓度(0~2mg/m~3)类别的面积波动中呈下降趋势,而高浓度(大于2mg/m~3)类别面积呈上升趋势.尽管叶绿素浓度下降时段数量要多于上升时段,但是由于其下降幅度小于上升幅度,因此全时段内研究区表层海水的叶绿素浓度趋于上升.
應用改進的大氣校正方法對渤海海區的MODIS數據進行校正,併應用校正結果反縯瞭自2000年至2006年各箇年份12月份渤海錶層水體的葉綠素濃度,同時選取4箇近岸同期鑑測點的實測值對反縯結果進行驗證,通過對比反縯值與實測值,髮現除3號點位外,其餘3箇點位的相對誤差值均較小于10%,證明瞭反縯結果較為準確.將反縯齣的渤海錶層海水葉綠素濃度按照0~1mg/m~3、1~2mg/m~3、2~3mg/m~3、大于3mg/m~3進行分類,併對分類後各箇類彆的麵積轉移矩陣進行統計分析得齣以下結論;2000年~2001年、2002年~2003年、2003年~2004年以及2004年~2005年為研究區葉綠素濃度降低時段,但前兩箇時段的降低幅度要大于後兩箇時段.2001年~2002年以及2005年~2006年為研究區葉綠素濃度上升時段,這兩箇時段的上升幅度都很大.研究時段內低濃度(0~2mg/m~3)類彆的麵積波動中呈下降趨勢,而高濃度(大于2mg/m~3)類彆麵積呈上升趨勢.儘管葉綠素濃度下降時段數量要多于上升時段,但是由于其下降幅度小于上升幅度,因此全時段內研究區錶層海水的葉綠素濃度趨于上升.
응용개진적대기교정방법대발해해구적MODIS수거진행교정,병응용교정결과반연료자2000년지2006년각개년빈12월빈발해표층수체적협록소농도,동시선취4개근안동기감측점적실측치대반연결과진행험증,통과대비반연치여실측치,발현제3호점위외,기여3개점위적상대오차치균교소우10%,증명료반연결과교위준학.장반연출적발해표층해수협록소농도안조0~1mg/m~3、1~2mg/m~3、2~3mg/m~3、대우3mg/m~3진행분류,병대분류후각개유별적면적전이구진진행통계분석득출이하결론;2000년~2001년、2002년~2003년、2003년~2004년이급2004년~2005년위연구구협록소농도강저시단,단전량개시단적강저폭도요대우후량개시단.2001년~2002년이급2005년~2006년위연구구협록소농도상승시단,저량개시단적상승폭도도흔대.연구시단내저농도(0~2mg/m~3)유별적면적파동중정하강추세,이고농도(대우2mg/m~3)유별면적정상승추세.진관협록소농도하강시단수량요다우상승시단,단시유우기하강폭도소우상승폭도,인차전시단내연구구표층해수적협록소농도추우상승.
Chlorophyll contained in seawater is not only material foundation to maintain the survival of marine organism,but also an important parameter to calculate oceanic primary production.Meanwhile it affects the carbon cycle between the system of ocean and atmosphere,furthermore,it reflects the influence of human activity and change of entironmenL However,traditional methods are unable to solve large-scale monitoring at the same time,so remote sensing as an effective tool is used to real-time monitoring chlorophyll broadly,because satellite images have many characters such as:short-period monitoring,high time-space resolution,large-scale monitoring at the same time,images can be compared with each other and specialized sensor,these characters decide remote sensing images are a quite important data source to monitoring ocean.So we use MODIS data which were corrected by our atmospheric algorithm,then we retrieve chlorophyll concentration of Bohai Sea for each middle December days from 2000 to 2006,and we choose 4 field observed teaults collected on the middle December day of 2005 to validate the retrieved results simultaneously.Comparing the retrieved results with measured results,we find that relative errors are Iowet than 10% except No.3 point,thus it proves that our results are exact. After retrieving,we classify chlorophyll concentration into 0-1mg/m~3,1-2mg/m~3,2-3mg/m~3,and over 3mg/m~3 then get the transfer matrix of area for each classifications by statistics.Accordins to statistic results,we draw these conclusions:(1)Chlorophyll concentration of research area decreases in the periods of 2000-2001,2002-2003,2003-2004 and 2004-2005,and the amplitude of first two periods are higher than the last two.However,chlorophyll concentration of research area increases in the periods of 2001-2002 and 2005-2006,and the amplitude of the two periods are both high.(2)Area of lower chlorophyll concentration(0-2mg/m~3)tend to decline during 2000 to 2006,but area of higher chlorophyll concentration(over 2mg/m~3)tend to increase.Although the declined periods are more than the inereased periods,the amplitude of decrease is lower than increase.As a resuh,chlorophyll concentration of research area tends to increase during 2000 to 2006.