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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/13509 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/13509 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/13509 archive 351 disk0/00/00/98/03 2016-01-15 08:46:08 2021-08-27 17:22:15 2016-01-15 08:46:08 monograph show 2 Vakolyuk M. pub iis_env iis_met prog_asa The objective of these studies is to analyze the possibility of determining CO2 concentration in the atmosphere by using spectral indexes - Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) and GPP, PsnNet. In the studies, spatially explicit NDVI and EVI values at a resolution of 1km were calculated for two years, 2009 and 2010, and used for the analysis of dependencies between plant biomass growth and environmental conditions . CO2 concentration in the atmosphere, temperature, precipitation, and time of the year. For every spatial point, the value of photosynthesis activity was calculated and the relationships among the CO2 exchanges, the remotely sensed Normalized Difference Vegetation Index (NDVI), and other environmental factors were examined using the Pearson correlation coefficient. These studies explore the relationship between MODIS products, i.e., Normalized Difference Vegetation Index, Enhanced Vegetation Index, gross primary productivity, net Photosynthesis, and CO2 concentration derived from GOSAT satellite. These measurements could maximize the utility of expensive flux towers for evaluating various carbon management strategies, carbon certification, quotas verification, validation and calibration of carbon flux models and can supplement data base. Also understanding how increasing concentration to improve plant growth can help to calculate biomass potential in CO2 accumulation. 2011-12 published IR-11-034 IR-11-034 public interim_report IIASA, Laxenburg, Austria 33 FALSE info:eu-repo/semantics/book