ADEOS/OCTS L2 GAC Ocean Color (OC2)

Name: ADEOS/OCTS L2 GAC Ocean Color (OC2)
Creator: Japan Aerospace Exploration Agency (JAXA)
Published: 1996-11-01
License: http://earth.jaxa.jp/policy/en.html

DOI: 10.57746/EO.01gs73ap0xa35tt1640q2kaqj2
Last Updated: 2023-02-14

Data Progress: Complete

Product Summary

ADEOS OCTS L2 GAC OC2 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 GAC (Global Area Coverage) ocean color2 (OC2) product, transformed to geophysical parameters from level 1B data, includes CZCS-like pigment concentration Chlorophyll a concentration Diffusion attenuation coefficient at 490 nm ,and Level 2 Quality flags. Furthermore, supplemental data, such as geometric correction information, the OCTS telemetry, quality information, the sun vector, scene information and others are included.
The provided format is HDF4 format The Spatial resolution is 700 m.

Platform: ADEOS-I
Sensor: OCTS

Coverage

Temporal Coverage

1996-11-01 to 1997-06-30

Spatial Coverage

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

Resolution

700 m

Location

GEOGRAPHIC REGION > GLOBAL OCEAN

Dataset Short Name

ADEOS_OCTS_L2_GAC_OC2

Platform / Sensor

ADEOS-I / OCTS

Coverage

Spatial Coverage: Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°)
Temporal Coverage: 1996-11-01 to 1997-06-30

Product Level ID

Version Description

Version 1, 1996-11-01, Available

File Format

HDF

Dataset Type

None / None

Resolution

Spatial Resolution: 700 m
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 L2 GAC Ocean Color (OC2)
Distribution Format: HDF
Fees: Free
Citation: Japan Aerospace Exploration Agency. 1996. ADEOS/OCTS L2 GAC Ocean Color (OC2). https://doi.org/10.57746/EO.01gs73ap0xa35tt1640q2kaqj2
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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 CHEMISTRY > CHLOROPHYLL
EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PIGMENTS
EARTH SCIENCE > ATMOSPHERE > AEROSOLS > AEROSOL EXTINCTION
EARTH SCIENCE > OCEANS > OCEAN OPTICS > EXTINCTION COEFFICIENTS
EARTH SCIENCE > ATMOSPHERE > AEROSOLS > AEROSOL BACKSCATTER

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.