ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Day)

  • DOI: 10.57746/EO.01gs73apakrpmcnzft2xtsg3fn
  • Last Updated: 2023-02-14
Data Progress: Complete
G-Portal

Product Summary

ADEOS OCTS L3BM GAC OCK 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.
The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking.
OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena.
This product is daily L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is "m-1".
The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.

Platform
ADEOS-I
Sensor
OCTS

Coverage

Temporal Coverage

1996-11-01 to 1997-07-06

Spatial Coverage

Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°)

Resolution

1/12 deg

Location

  • GEOGRAPHIC REGION > GLOBAL OCEAN
Dataset Short Name
ADEOS_OCTS_L3BM_GAC_OCK_1day
Platform / Sensor
ADEOS-I / OCTS
Coverage
Spatial Coverage
Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°)
Temporal Coverage
1996-11-01 to 1997-07-06
Product Level ID
L3
Version Description

Version 1, 1996-11-01, Available

File Format
HDF
Dataset Type
None / None
Resolution
Spatial Resolution
1/12 deg
Temporal Resolution
None
Dataset Progress
Complete
Projection
None
Collection Data Type
SCIENCE_QUALITY
Get Data
https://gportal.jaxa.jp/gpr/?lang=en
Dataset Title
ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Day)
Distribution Format
HDF
Fees
Free
Citation
Japan Aerospace Exploration Agency. 1996. ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Day). https://doi.org/10.57746/EO.01gs73apakrpmcnzft2xtsg3fn
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Use Constraints

The user is entitled to use G-Portal data free of charge without any restrictions (including commercial use) except for the condition about acknowledgement of data credit as stipulated in G-portal terms of use 7.(2).Click here for detailed G-Portal data usage constrains.

G-Portal Terms of service
https://gportal.jaxa.jp/gpr/index/eula?lang=en
ISO Topic Categories
  • CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
  • OCEANS
  • IMAGERY/BASE MAPS/EARTH COVER
Science Keywords
  • EARTH SCIENCE > OCEANS > OCEAN OPTICS > EXTINCTION COEFFICIENTS
Location Keywords
  • GEOGRAPHIC REGION > GLOBAL OCEAN

ISO Topic Categories is the keywords in the ISO 19115 - Geographic Information Metadata.

Science Keywords hosts Global Change Master Directory (GCMD) Keywords which are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables.