Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR)


The citation for this dataset is:
Rikie Suzuki. (2009). Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.39
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IDENTIFICATION INFORMATION

Name Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR)
Edition Ver. 1.1
DOI doi:10.20783/DIAS.39
Metadata Identifier Global_map20181214115447-DIAS20180903143952-en

CONTACT

CONTACT on DATASET

Name Rikie Suzuki
Organization Japan Agency for Marine-Earth Science and Technology
Address 3173-25 Showamachi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan
TEL +81-45-778-5541
FAX +81-45-778-5706
E-mail rikie at jamstec.go.jp

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Rikie Suzuki
Organization Japan Agency for Marine-Earth Science and Technology
E-mail rikie at jamstec.go.jp

DATASET CREATOR

Name Rikie Suzuki
Organization Japan Agency for Marine-Earth Science and Technology
E-mail rikie at jamstec.go.jp

DATE OF THIS DOCUMENT

2018-12-14

DATE OF DATASET

  • revision : 2009-09-01

DATASET OVERVIEW

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; (0.4 - 0.7 ƒÊm)) 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.

Topic Category(ISO19139)

  • biota

Temporal Extent

Begin Date 1986-01-01
End Date 1996-12-31

Geographic Bounding Box

North bound latitude 81
West bound longitude -180
Eastbound longitude 180
South bound latitude -55

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 180 2 (deg)
column 90 2 (deg)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Ecosystems GEOSS

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Distribution Information

name version specification
text no information

DATA PROCESSING

Data Processing (1)

General Explanation of the data producer's knowledge about the lineage of a dataset

We examined the 10-year (1986 – 1995) 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, 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.

Data Source

Data Source Citation Name Description of derived parameters and processing techniques used

Global vegetation index data: Twenty-year Global 4-minute AVHRR NDVI Dataset of Chiba University (in Japanese)

http://dbx.cr.chiba-u.jp/geobase/index.html

Global meteorological data: Air temperature, precipitation, photosynthetically active radiation (International Satellite Land Surface Climatology Project (ISLSCP) Initiative II)

http://islscp2.sesda.com/ISLSCP2_1/html_pages/islscp2_home.html

USE CONSTRAINTS

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"

Data Policy for Project

Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

3. Users shall not modify the content of DIAS data sets

4. Users shall not provide the content of DIAS data sets to third parties

5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below

[*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 the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

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.

ACKNOWLEDGEMENT

Project Acknowledgement

Data Integration and Analysis System

Whenever DIAS dataset is 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 dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

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), 293-296. (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)

CEReS, Chiba University (2001) Twenty-year global 4-minute AVHRR NDVI dataset. Chiba University, Chiba, Japan.


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