测绘与空间地理信息
測繪與空間地理信息
측회여공간지리신식
GEOMATICS & SPATIAL INFORMATION TECHNOLOGY
2012年
5期
18-19,27
,共3页
CBERS%2B%黄河湿地%植被指数%生物量反演%多元线性回归
CBERS%2B%黃河濕地%植被指數%生物量反縯%多元線性迴歸
CBERS%2B%황하습지%식피지수%생물량반연%다원선성회귀
CBERS 2B%the Yellow River wetland%vegetation index%biomass inversion%multi-linear regression
本研究以黄河湿地郑州段为研究区,利用RS与GIS技术,基于2009年5月7日获得的CBERS 2B卫星CCD多光谱遥感影像和地面实测植被生物量信息,采用回归算法构建反演模型,经对比分析得到最优计算模型。结果表明,反演模型计算精度达到86.32%,利用CBERS 2B卫星CCD多光谱遥感影像可满足植被生物量的反演需要。
本研究以黃河濕地鄭州段為研究區,利用RS與GIS技術,基于2009年5月7日穫得的CBERS 2B衛星CCD多光譜遙感影像和地麵實測植被生物量信息,採用迴歸算法構建反縯模型,經對比分析得到最優計算模型。結果錶明,反縯模型計算精度達到86.32%,利用CBERS 2B衛星CCD多光譜遙感影像可滿足植被生物量的反縯需要。
본연구이황하습지정주단위연구구,이용RS여GIS기술,기우2009년5월7일획득적CBERS 2B위성CCD다광보요감영상화지면실측식피생물량신식,채용회귀산법구건반연모형,경대비분석득도최우계산모형。결과표명,반연모형계산정도체도86.32%,이용CBERS 2B위성CCD다광보요감영상가만족식피생물량적반연수요。
The paper studies the vegetation biomass of the Yellow River wetland in Zhengzhou by using RS and GIS technology based on the CCD spectrum remote sensing image of CBERS 2B satellite acquired on May 7,2009.The field measurement data of the vegetation biomass helps build the inversion model by multi-linear regression method and obtain the optimal calculation model by comparing and analysis.The results show that the inversion model calculation accuracy reaches 86.32%,and it is proved that use of the CCD spectrum remote sensing image of CBERS 2 B satellite can meet the need of the vegetation biomass inversion.
