D8NDVI_J20230727051311-DIAS20221121113753-en
English
Rikie Suzuki
Japan Agency for Marine-Earth Science and Technology
2023-07-27
DIAS Core Metadata Profile (based-on ISO 19115:2003/19139)
1.0(draft)
0
false
Daily 8km Normalized Difference Vegetation Index (NDVI) from 1982 to 2000 over the Japan Islands(beta-version)
D8NDVI-J
2008-01-10
Beta-Version
DIAS (Data Integration and Analysis System)
40:D8NDVI_J
IDF (International DOI Foundation)
doi:10.20783/DIAS.40
Data in October, November, and December 1994 are missing.
Cloud contamination still exists.
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.
Rikie Suzuki
Japan Agency for Marine-Earth Science and Technology
+81-45-778-5541
3173-25 Showamachi, Kanazawa-ku
Yokohama
Kanagawa
236-0001
Japan
rikie at jamstec dot go dot jp
Rikie Suzuki
Japan Agency for Marine-Earth Science and Technology
Toshichika Iizumi
Japan Agency for Marine-Earth Science and Technology
Ecosystems
GEOSS
Biosphere > Vegetation > Vegetation Index
GCMD_science
Asia > Eastern Asia > Japan
Country
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. "
English
biota
Daily
110
160
15
55
1982-01-01
2000-12-31
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)
Daily 8km Normalized Difference Vegetation Index (NDVI) from 1982 to 2000 over the Japan Islands(beta-version)
D8NDVI-J
2008-01-10
Beta-Version
D8NDVI_J20230727051311-DIAS20221121113753-en
In this MD_DataIdentification class, we describe an identification information related to the project belong to this dataset.
DIAS Office
Japan Agency for Marine-Earth Science and Technology
3173-25, Showa-Cho, Kanazawa-ku
Yokohama-shi
Kanagawa
236-0001
Japan
dias-office at diasjp dot net
DIAS > Data Integration and Analysis System
No_Dictionary
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English
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no information
http://www.godac.jamstec.go.jp/catalog/data_catalog/gd_metaview_e.php?data_name=çæ
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https://data.diasjp.net/dl/storages/filelist/dataset:40
file download
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.
Pathfinder AVHRR Land (PAL) dataset