Paper
23 October 2012 Changes in satellite-derived vegetation growth trend in China from 2002 to 2010
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Abstract
Net primary production (NPP) is the production of organic compounds from atmospheric or aquatic carbon dioxide, principally through the process of photosynthesis. Climate changes of this magnitude are expected to affect the NPP of the world’s land ecosystems. In this study, we used a light-use efficiency model and linear regression model to describe and analyze the spatial and temporal patterns of terrestrial net primary productivity (NPP) in China during 2002-2010. First, we used the reconstructed 16-day 0.05°MODIS NDVI product (MOD13C1), 0.05°gridded GLDAS (Global Land Data Assimilation System) meteorological data and land use map to estimate the NPP in China. The spatial variability of NPP was analyzed during all periods, growing seasons and different seasons, respectively. Based on regression analysis method, we quantified the trend of NPP change in China during 2002-2010.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juan Gu, Xin Li, and Chunlin Huang "Changes in satellite-derived vegetation growth trend in China from 2002 to 2010", Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85310W (23 October 2012); https://doi.org/10.1117/12.974313
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Cited by 2 scholarly publications.
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KEYWORDS
Vegetation

Data modeling

MODIS

Solar radiation models

Atmospheric modeling

Climatology

Ecosystems

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