Developing an online estimation and query system of net primary productivity of China based on RIA technology

doi:10.3969/j.issn.1000-2006.2015.03.030

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (03): 167-171.doi: 10.3969/j.issn.1000-2006.2015.03.030

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Developing an online estimation and query system of net primary productivity of China based on RIA technology

GENG Jun^1,2,TU Lili¹,LYU Chunguang¹, RUAN Honghua^2*, TIAN Qingjiu¹,QU Zijing³,LI Ping²,TIAN Deshan⁴,WU Guoxun²,WANG Lei¹

1. International Institute for Earth System Science, Nanjing University, Nanjing 210046, China;
2. Jiangsu Key Laboratory of Forestry Ecological Engineering, Nanjing Forestry University, Nanjing 210037, China;
3. School of Materials and Metallurgy, Northeastern University, Shenyang 110004, China;
4. School of Environment and Planing, Liaocheng University, Liaocheng 252000, China

Online:2015-05-30 Published:2015-05-30

Abstract

Abstract: As the driving force of the carbon cycle, net primary productivity(NPP)is not only one of basic quantitative characteristics in earth’s ecosystems, but also the main factor to determine the carbon source, sink and the regulation of ecological processes. Based on RIA technology, normalized differential vegetation index(NDVI)of MODIS, meteorological and vegetation data of China were collected as input parameters of CASA, an online estimation and query system of vegetation net primary productivity of China(EQSVNC)was developed for the first time to full in the blank of web-platform of NPP query and estimation in China. The EQSVNC took advantage of the C# language and IDL language, and achieved the following functions: online query, estimation, statistics, export of mapping and printing thematic map of Chinese vegetation net primary productivity, and management of users. The EQSVNC not only can conveniently and effectively meet many users’ demands for estimating and querying Chinese vegetation net primary productivity, but also provide a scientific data-sharing web-platform for scientific researchers and policy makers.

CLC Number:

GENG Jun,TU Lili,LYU Chunguang, RUAN Honghua, TIAN Qingjiu,QU Zijing,LI Ping,TIAN Deshan,WU Guoxun,WANG Lei. Developing an online estimation and query system of net primary productivity of China based on RIA technology[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2015, 39(03): 167-171.

References

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Developing an online estimation and query system of net primary productivity of China based on RIA technology

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