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基于GIS和RS的市域尺度下的植被NPP研究
引用本文:田建茹,蒋楠,左华,郝菁.基于GIS和RS的市域尺度下的植被NPP研究[J].环境科学与管理,2017,42(9).
作者姓名:田建茹  蒋楠  左华  郝菁
作者单位:青岛市环境保护科学研究院,山东 青岛,266003
基金项目:青岛市2015年环境保护专项资金项目资助
摘    要:在GIS和RS支持下,利用土地利用类型数据、地面气象数据和遥感影像数据,以青岛市为例,研究了市域尺度下的植被NPP空间分布特征.结果表明:青岛市NPP值为0~288 g·m-2·a-2,林地NPP值较高,耕地次之,建成区等区域最小.在小尺度区域内,NPP分布受土地利用类型影响较大,受气象因素影响较小.NPP模块在数据获取上比较容易,仅利用土地利用类型数据、地面气象数据和遥感数据就可以对陆地植被NPP进行计算,实际应用可操作性强.30 m分辨率植被NPP计算值更适宜于在市级小尺度区域内应用.

关 键 词:地理信息系统  遥感  净初级生产力

Study on Vegetation NPP based on GIS and RS in Qingdao City
Tian Jianru,Jiang Nan,Zuo Hua,Hao Jing.Study on Vegetation NPP based on GIS and RS in Qingdao City[J].Environmental Science and Management,2017,42(9).
Authors:Tian Jianru  Jiang Nan  Zuo Hua  Hao Jing
Abstract:Based on geographic information system(GIS)and remote sensing(RS)technology, NPPcan beestimated just using land use type data, ground meteorological data and remote sensing data. The results showed that the value of NPP in Qing-dao was 0~288 g·m-2 ·a-2 . The NPP value of is higher, the cultivated land is the second, and the built-up area is the smallest. The NPP value of woodland was higher, the NPP value of cultivated landwas the second, and the NPP value was the lowest in the built-up area. The distribution of NPP is greatly influenced by land use type, which is less affected by meteoro-logical factors. The NPP modular is easy to estimate the NPP of terrestrial vegetation only using land use data, ground meteoro-logical data and remote sensing data. The modular is practical and operable. The NPP resolution of 30 m is more suitable for the application in small scale area.
Keywords:geographic information system  remote sensing  net primary productivity( NPP)
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