Daily 8km Normalized Difference Vegetation Index (NDVI) from 1982 to 2000 over the Japan Islands(beta-version)


The citation for this dataset is:
Rikie Suzuki. (2008). Daily 8km Normalized Difference Vegetation Index (NDVI) from 1982 to 2000 over the Japan Islands(beta-version) [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.40
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GCMD Science Keywords
[Biosphere ] [Vegetation ] [Vegetation Index ]

IDENTIFICATION INFORMATION

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_J20200401031627-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
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

DATASET CREATOR

Name Rikie Suzuki
Organization Japan Agency for Marine-Earth Science and Technology
Name Toshichika Iizumi
Organization Japan Agency for Marine-Earth Science and Technology

DATE OF THIS DOCUMENT

2020-04-01

DATE OF DATASET

  • publication : 2008-01-10

DATASET OVERVIEW

Abstract

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.

Topic Category(ISO19139)

  • biota

Temporal Extent

Begin Date 1982-01-01
End Date 2000-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 55
West bound longitude 110
Eastbound longitude 160
South bound latitude 15

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Ecosystems GEOSS
theme [Biosphere ] > [Vegetation ] > [Vegetation Index ] GCMD_science
place Asia > Eastern Asia > Japan Country

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
binary no information

DATA PROCESSING

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

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 Processing

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

Pathfinder AVHRR Land (PAL) dataset

DATA REMARKS

Data in October, November, and December 1994 are missing.

Cloud contamination still exists.

LICENSE

Data Policy by the 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. 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. "

Data Policy by the Project

Data Integration and Analysis System

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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]

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[*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

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

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)."

DISCLAIMER

Disclaimer of Project

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REFERENCES

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)


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