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1 Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) 1. TITLE Edition Ver. 1.1 Metadata Identifier 2. CONTACT 2.1 CONTACT on DATASET Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) Global_map DIAS en Rikie Suzuki Organization Japan Agency for Marine-Earth Science and Technology Address Showamachi, Kanazawa-ku, Yokohama, Kanagawa, , Japan TEL FAX rikie at jamstec.go.jp 2.2 CONTACT on PROJECT Data Integration and Analysis System Organization Address DIAS Office The Earth Observation Data Integration and Fusion Research Initiative (EDITORIA), The University of Tokyo Komaba, Meguro-ku, Tokyo, , Japan 3. DOCUMENT AUTHOR Rikie Suzuki 1

2 Organization Japan Agency for Marine-Earth Science and Technology rikie at jamstec.go.jp 4. DATASET CREATOR Organization Rikie Suzuki Japan Agency for Marine-Earth Science and Technology rikie at jamstec.go.jp 5. DATE OF THIS DOCUMENT DATE OF DATASET revision : DATASET OVERVIEW 7.1 Abstract Precipitation, air temperature, and radiation are the most dominant meteorological factor for the vegetation distribution and its interannual change. For example, lack of precipitation precludes vegetation in desert in mid-latitude, while lack of temperature constrains the vegetation in high-latitude tundra zones. The cloud cover disturbs the potential photosynthetic activity of the vegetation by reducing the Photosynthetically Active Radiation (PAR; ( μm)) from the sun. This vegetation-atmosphere relationship was examined by using satellite-derived Normalized Difference Vegetation Index (NDVI) data and meteorological data. The interannual correlation coefficients between NDVI and temperature; NDVI and precipitation; and NDVI and PAR from 1986 to 1995 are globally mapped. 7.2 Topic Category(ISO19139) biota 7.3 Temporal Extent Begin Date End Date Geographic Bounding Box North latitude West longitude Eastbound longitude South latitude bound 81 bound bound -55 2

3 7.5 Grid Dimension Dimension Size Resolution Unit row 2 (degree) column 2 (degree) 7.6 Geographic Description 7.7 Keywords Keywords on Dataset Keyword Type Keyword Keyword thesaurus theme Ecosystems GEOSS Keywords on Project Data Integration and Analysis System Keyword Type Keyword Keyword thesaurus theme DIAS > Data Integration and Analysis System No_Dictionary 7.8 Online Resource : data_name=&lang=en file download : Data Environmental Information 7.10 Distribution Information name version specification text no information 8. DATA PROCESSING 8.1 General Explanation of the data producer's knowledge about the lineage of a dataset We examined the 10-year ( ) time series of yearly precipitation, temperature, PAR and NDVI in 1 x 1 degree grid cells over the global terrestrial area. As for precipitation, temperature, 3

4 and PAR, seasonal mean values over the growing season (April to August in the Northern Hemisphere; October to February in the Southern Hemisphere) of each year were calculated based on monthly values obtained from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II dataset. As for NDVI the seasonal mean value in the growing season of each year was calculated from the monthly NDVI of a global 20-year NOAA/AVHRR dataset with 4-minute resolution produced by Chiba University, Japan (CEReS, 2001). This 4-minutes NDVI value was resampled into 1 x 1 degree grid system to match other meteorological values from ISLSCP Initiative II dataset. The 10-year interannual correlations between NDVI and precipitation, NDVI and temperature, and NDVI and PAR was calculated. To improve the statistical significance level, those correlations were calculated base on 40 samples by aggregating 4 gird cells (i.e. 10 years x 4 grid cells). By this process the horizontal resolution was reduced to 2 x 2 degrees. 8.2 Data Processing Data Source Citation Global vegetation index data: Twenty-year Global 4-minute AVHRR NDVI Dataset of Chiba University (in Japanese) Description of derived parameters and processing techniques used Global meteorological data: Air temperature, precipitation, photosynthetically active islscp2_home.html radiation (International Satellite Land Surface Climatology Project (ISLSCP) Initiative II) 9. DATA REMARKS 10. USE CONSTRAINTS 10.1 Data Policy by Data Provider The content of this dataset should not be redistributed without permission, and should not be used for commercial purposes. The source should be properly acknowledged in any work obtained with this dataset. The creators of this dataset are not responsible for any loss or damage caused by using this dataset. [Reference Requirement]This dataset should be referenced as the following statement. "Suzuki, R. (2007): Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitatioin, and photosynthetically active radiation (PAR). Data Integration and Analysis System in Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan" 10.2 Data Policy for Project Data Integration and Analysis System 1. With regard to Data policy, if there is any data policy indicated by the data provider, that policy always has priority over this DIAS data policy. 2. DIAS data sets are to be used only for scientific research or educational purposes [*1]. 3. Any modification or change of the original DIAS data sets is prohibited. 4. Any Re-export or transfer of the original data sets to a third party is prohibited. 4

5 5. The origin of DIAS data being used for any publication of scientific results must be acknowledged and referenced in the publication, with the quotation given below as an acknowledgement. 6. Whenever DIAS data sets are used for publication of scientific results, the author(s) shall send a copy of the respective publication, preferably in an electronic form or in a separate printed version, to the DIAS CONTACTS as indicated below. dias-office@diasjp.net Earth Observation Data Integration & Fusion Research Initiative (EDITORIA), The University of Tokyo Komaba, Meguro-ku, Tokyo JAPAN [*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact [R-dias3@restec.or.jp] for more details Disclaimer for Project Data Integration and Analysis System 1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used. 2. DIAS data and related information are subject to change without any prior notice. 3. DIAS data sets provided are not supported for any additional processing or analysis. 11 Acknowledgement 11.1 Dataset Acknowledgement 11.2 Project Acknowledgement Data Integration and Analysis System Whenever DIAS data sets are used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements. "The DIAS data set is archived and provided under the framework of the Data Integration and Analysis System (DIAS,DIAS-P), through the National Key Technology, Marine Earth Observation Exploration System." 12. REFERENCES R. Suzuki (2007) Preliminary analysis on interannual response of global NDVI for precipitation, temperature, and radiation. Proceedings of the Seventh International Conference on Global Change: Connection to the Arctic (GCCA-7), (Fairbanks, USA, February 19-20, 2007) R. Suzuki (2007) Interannual response of global NDVI for precipitation, temperature, and radiation. 32th International Symposium on Remote Sensing of Environment "Sustainable Development thorough Global Earth Observations." (San Jose, Costa Rica, June 25 29, 2007) 5

6 CEReS, Chiba University (2001) Twenty-year global 4-minute AVHRR NDVI dataset. Chiba University, Chiba, Japan. Copyright(c) Data Integration & Analysis System (DIAS) All Rights Reserved. This project is supported by " Data Integration & Analysis System " funded by MEXT, Japan 6