DOI: 10.1016/j.jag.2014.02.007
Scopus记录号: 2-s2.0-84897477108
论文题名: Remote sensing net primary productivity (NPP) estimation with the aid of GIS modelled shortwave radiation (SWR) in a Southern African Savanna
作者: Pachavo G ; , Murwira A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 30, 期: 1 起始页码: 217
结束页码: 226
语种: 英语
英文关键词: DMP
; GIS
; MODIS
; NPP
; Remote sensing
; SWR
Scopus关键词: dry matter
; GIS
; landscape
; MODIS
; net primary production
; remote sensing
; savanna
; shortwave radiation
; topography
; Southern Africa
英文摘要: We tested whether and to what extent a remote sensing net primary productivity (NPP) estimation model based on the moderate resolution imaging spectroradiometer (MODIS) data and GIS modelled shortwave radiation can be used to estimate NPP in a Southern African Savanna landscape. To accomplish this, we compared the results of our model with results obtained using an established rainfall-NPP regression model developed by Lieth and Whittaker (1975) for the savanna landscape, as well as the dry matter productivity (DMP) remotely sensed model. Results show that our model estimates do not significantly (p > 0.05) differ with results from the Lieth regression model with an R2 of 0.67. In addition, results showed that our remotely sensed NPP correlated significantly (p < 0.05) with the DMP results (Pearson Correlation R = 0.91). These results suggest that we can successfully model African Savanna NPP using MODIS remotely sensed data in combination with GIS modelled clear sky and topographically based shortwave radiation (SWR) flux. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79653
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography and Environmental Science, University of Zimbabwe, P.O. Box MP 167, Mt Pleasant, Harare, Zimbabwe
Recommended Citation:
Pachavo G,, Murwira A. Remote sensing net primary productivity (NPP) estimation with the aid of GIS modelled shortwave radiation (SWR) in a Southern African Savanna[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,30(1)