DocumentCode :
3059715
Title :
The potential of MODIS derived Photochemical Reflectance Index for studying gross primary productivity of oil palm trees
Author :
Kian Pang Tan ; Kanniah, Kasturi Devi ; Cracknell, Arthur Philip
Author_Institution :
Dept. of Remote Sensing, Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2141
Lastpage :
2144
Abstract :
Many studies found that the Photochemical Reflectance Index (PRI) is sensitive to the light use efficiency (LUE) of biomes. LUE is one of the important variables for estimating gross primary productivity (GPP) which is concerned with the rate of carbon sequestration. Previous studies demonstrated that Moderate Resolution Imaging Spectroradiometer (MODIS) derived PRI can be used as a surrogate for LUE of vegetation at a regional scale. However, the relationship between MODIS PRI and LUE is not universal; it varies with biomes. This study investigated the potential of MODIS derived PRI for studying 1) oil palm GPP, and 2) the environmental factors namely temperature, vapour pressure deficit (VPD) and photosynthetically active radiation (PAR) in the tropics (Peninsular Malaysia). The relationship of PRI (surrogate for LUE) with the tropical environmental factors deserves studies because these regions have unique climate which is different from other latitudes and which plays an important role in the global climate system. In this study, MODIS daily PRI was derived from MODIS daily calibrated radiances products (MOD021km), oil palm GPP was derived from MODIS GPP products, and daily meteorological data (daily mean temperature, daily mean VPD and daily PAR) were collected from the Malaysian Meteorological Department. Our results showed that the MODIS PRI has relatively weak and negative asymptotic relationships with MODIS oil palm GPP (R2=0.21, p <; 0.001) and the environmental factors (R2 ranges between 0.14 and 0.25, p <; 0.001).
Keywords :
agricultural engineering; agriculture; vegetation; vegetation mapping; MODIS; Peninsular Malaysia; biomes light use efficiency; carbon sequestration; environmental factors; gross primary productivity; meteorological data; moderate resolution imaging spectroradiometer; oil palm trees; photochemical reflectance index; photosynthetically active radiation; temperature; vapour pressure deficit; vegetation; Environmental factors; Indexes; MODIS; Reflectivity; Remote sensing; Temperature; Vegetation mapping; GPP; MODIS; PRI; oil palm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723237
Filename :
6723237
Link To Document :
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