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Name | Daily 8km Normalized Difference Vegetation Index (NDVI) from 1982 to 2000 over the Japan Islands(beta-version) |
Edition | Beta-Version |
Abbreviation | D8NDVI-J |
DOI | doi:10.20783/DIAS.40 |
Metadata Identifier | D8NDVI_J20230727051311-DIAS20221121113753-en |
Name | Rikie Suzuki |
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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 |
rikie at jamstec.go.jp |
Name | DIAS Office |
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Organization | Japan Agency for Marine-Earth Science and Technology |
Address | 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan |
dias-office@diasjp.net |
Name | Rikie Suzuki |
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Organization | Japan Agency for Marine-Earth Science and Technology |
Name | Rikie Suzuki |
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Organization | Japan Agency for Marine-Earth Science and Technology |
Name | Toshichika Iizumi |
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Organization | Japan Agency for Marine-Earth Science and Technology |
publication : 2008-01-10
This dataset contains the daily value of the Normalize Difference Vegetation Index (NDVI) from 1982 to 2000 over the terrestrial areas of the Japan Islands that was derived from Pathfinder AVHRR Land (PAL) dataset. The horizontal resolution is 8 x 8 km. To reduce the cloud contamination, the original daily NDVI was temporally smoothed by Temporal Window Operation (TWO) method.
biota
Begin Date | 1982-01-01 |
End Date | 2000-12-31 |
Temporal Characteristics | Daily |
North bound latitude | 55 |
West bound longitude | 110 |
Eastbound longitude | 160 |
South bound latitude | 15 |
Keyword Type | Keyword | Keyword thesaurus Name |
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theme | Ecosystems | GEOSS |
theme | Biosphere > Vegetation > Vegetation Index | GCMD_science |
place | Asia > Eastern Asia > Japan | Country |
Keyword Type | Keyword | Keyword thesaurus Name |
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theme | DIAS > Data Integration and Analysis System | No_Dictionary |
name | version | specification |
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binary | no information |
Refer the original “readme” file (pal_tile_readme.pdf) about the detail of the Pathfinder AVHRR Land (PAL) data that was the source dataset for the present data product.
The original NDVI values of PAL data were smoothed by two processes: horizontal smoothing and temporal smoothing (Temporal Window Operation: TWO). Suzuki and Kondoh (2005) (PDF file is in this folder) described about the process of daily NDVI data by TWO over Eurasia. In Suzuki and Kondoh (2005), the window size was set at 15 days, while that of the present dataset for the Japan Islands was set at 20 days.
- Smoothing for Horizontal Domain
Original PAL NDVI data involve noises which are apparent on a NDVI distribution. To reduce those noises, Neighbor 8-pixel Comparison Method (NECM) was applied. If the difference between a NDVI in a pixel (pixel A) and the mean NDVI of the 8 pixels (pixels E) around the pixel A exceeds a threshold, the NDVI at the pixel A is substituted by the mean NDVI of the pixels E. Threshold was set at 0.3.
- Temporal Window Operation (TWO)
To reduce the cloud contamination from the daily NDVI value, we employed the TWO method developed by Park et al. (1999) which is a method to find optimized upper envelop line of the NDVI seasonal change. The temporal resolution of the original time series is conserved after the process.
The algorithm of TWO starts at the beginning of the NDVI (start point) time series, and checks whether the NDVI for the current NDVI is equal to or greater than the previous NDVI value within the window, which includes some NDVI values (the number of values is constant, that is, the window size is fixed) of the time series. If it is higher or equal, current value is assigned as the start point of next window (new window shifted forward). If there is no higher value within the window, select the second biggest value as a next start point of next window and replacing these by linearly interpolated value from current start point to next start point.
We tried TWO with 15 days, 20 days, and 30 days temporal windows, and compared the results over Japan. When the window size was set at 15 days, short term fluctuations of NDVI due to cloud contamination were apparently remained. When the size was set at 30 days, such short term fluctuations were almost completely removed, while the resultant NDVI time series was too insensitive to NDVI seasonal change. Eventually, 20 days were selected for the TWO window size for the phenological analysis in the Japan Island.
Data Source Citation Name | Description of derived parameters and processing techniques used |
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Pathfinder AVHRR Land (PAL) dataset |
Data in October, November, and December 1994 are missing.
Cloud contamination still exists.
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. and Iizumi, T. (2007): Daily 8km Normalized Difference Vegetation Index (NDVI) from 1982 to 2000 over the Japan Islands (beta-version). Data Integration and Analysis System in Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan. "
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Park, J.-G., Tateishi, R., and Matsuoka, M. (1999): A proposal of the Temporal Window Operation(TWO) method to remove high-frequency noises in AVHRR NDVI time series data. Journal of the Japan Society of Photogrammetry and Remote Sensing, 38, 36 – 47. (in Japanese)
Suzuki, R. and Kondoh, A. (2005): Constructing daily 8km NDVI dataset from 1982 to 2000 over Eurasia. Proceedings of International Symposium on Remote Sensing 2005 (ISRS2005), 18 – 21. (JejuInternational Convention Center, Jeju, Korea)