Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ...
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-latitud...
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Data Integration and Analysis System (DIAS)
2012
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| Online Access: | https://dx.doi.org/10.20783/dias.39 https://search.diasjp.net/en/dataset/Global_map |
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ftdatacite:10.20783/dias.39 2023-05-15T18:40:18+02:00 Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ... Suzuki, Rikie 2012 https://dx.doi.org/10.20783/dias.39 https://search.diasjp.net/en/dataset/Global_map unknown Data Integration and Analysis System (DIAS) If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. [Disclaimer] If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/terms/) apply. [Acknowledgement] If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well. " In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. " If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply. [Policies by the Data Integration and Analysis sytem (DIAS) and other Projects] [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" The creators of this dataset are not responsible for any loss or damage caused by using this dataset. The source should be properly acknowledged in any work obtained with this dataset. The content of this dataset should not be redistributed without permission, and should not be used for commercial purposes. [Policies by the Data Provider] dataset Dataset 2012 ftdatacite https://doi.org/10.20783/dias.39 2023-04-03T17:38:24Z 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 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. ... Dataset Tundra DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
| language |
unknown |
| description |
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 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. ... |
| format |
Dataset |
| author |
Suzuki, Rikie |
| spellingShingle |
Suzuki, Rikie Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ... |
| author_facet |
Suzuki, Rikie |
| author_sort |
Suzuki, Rikie |
| title |
Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ... |
| title_short |
Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ... |
| title_full |
Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ... |
| title_fullStr |
Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ... |
| title_full_unstemmed |
Global map of interannual response of normalized difference vegetation index (NDVI) for air temperature, precipitation, and photosynthetically active radiation (PAR) ... |
| title_sort |
global map of interannual response of normalized difference vegetation index (ndvi) for air temperature, precipitation, and photosynthetically active radiation (par) ... |
| publisher |
Data Integration and Analysis System (DIAS) |
| publishDate |
2012 |
| url |
https://dx.doi.org/10.20783/dias.39 https://search.diasjp.net/en/dataset/Global_map |
| genre |
Tundra |
| genre_facet |
Tundra |
| op_rights |
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. [Disclaimer] If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/terms/) apply. [Acknowledgement] If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well. " In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. " If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail. If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply. [Policies by the Data Integration and Analysis sytem (DIAS) and other Projects] [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" The creators of this dataset are not responsible for any loss or damage caused by using this dataset. The source should be properly acknowledged in any work obtained with this dataset. The content of this dataset should not be redistributed without permission, and should not be used for commercial purposes. [Policies by the Data Provider] |
| op_doi |
https://doi.org/10.20783/dias.39 |
| _version_ |
1766229611440504832 |