Gross primary production (GPP) is the total amount of atmospheric carbon (CO2) assimilated by vegetation. In this
article, a regional terrestrial ecosystem GPP estimation model REG-PEM(REGion Production Efficiency Model) is
developed based on light use efficiency theory, and 8-day composite and annual GPP are calculated using REG-PEM
model in Jiangxi province. The REG-PEM model was designed on the basis of the production efficiency concept in
which gross primary production is calculated from the products of the photosynthetically active radiation (PAR)
absorbed by the vegetation(APAR) and light use efficiency, and all the input data get from remote sensing method. GPP
are calculated using MODIS 8-day composite products and total ozone mapping spectrometer (TOMS) reflectance data
in Jiangxi province in 2003 and 2004. GPP increases in spring, reaches maximum in summer and decreases in autumn,
and fluctuates in the year. The results indicate that the REG-PEM model is capable of tracking seasonal dynamics and
interannual variations in GPP at a 8-day temporal resolution.
Incident photosynthetically active radiation (PAR) is a key variable needed by almost all terrestrial ecosystem models.
Unfortunately, the current incident PAR products estimated from remotely sensed data at spatial and temporal
resolutions are not sufficient for carbon cycle modeling and various applications. In this study, the author improved Eck
and Dye model which is a PAR simulating model using ultraviolet reflectance. The advantage of the ultraviolet over
existing visible band approaches to estimating insolation is the improved ability to discriminate clouds from high-albedo
background surfaces. Ultraviolet spectral reflectance data from the Total Ozone Mapping Spectrometer(TOMS) was
used to test the approach for Qianyanzhou station, southeast of China. Estimates of 8-day composition total incident
PAR from the satellite technique differed from measurement values by higher than 3.47%. The incident PAR over
Jiangxi Province was mapped in 2003 and 2004. The results indicate that this approach can produce reasonable PAR
product and is suitable for regional and global applications, although more quantitative validation activities are still
needed.
Resourcesat-1(IRS-P6) was built by Indian Space Research Organisation and launched in October, 2003. Resourcesat-1 carries three imaging sensors--a moderate resolution camera Advanced Wide Field Sensor (AWFS), a moderate resolution Linear Imaging Self Scanning-III device (LISS-III) and a high resolution Linear Imaging Self Scanning-IV device (LISS-IV) to get different spatial resolution image. Apparent reflectance of LISS-III image is calculated in Poyang Lake, south of China. The mean Digital Number (DN) in Red Band image of part of this district is 108.9, and Stdev is 62.72. The mean apparent reflectance of this image is 0.17, and Stdev is 0.093. Apparent reflectance can be used in the normalized difference vegetation index (NDVI) calculation, atmospheric correction, and others. NDVI value which is calculated by apparent reflectance can represent surface status accurately.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.