ADEOS/OCTS L1A RTC Visible and near infrared
- DOI: 10.57746/EO.01gs73bkpmkyd5w5734yxc0geb
- Last Updated: 2023-02-14
Product Summary
ADEOS OCTS L1A RTC VNR dataset is obtained from OCTS (Ocean Color and Temperature Scanner) 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 RTC (Real Time Coverage) visible and near Infrared band (VNR) data cut out into scenes from Level 0 data. RTC data have a coverage at EOC, but if tilt angle is changed, the data is divided into two scenes (products). This product also contains radiometric correction coefficients required for data correction (each band, each pixel) and geometric correction information. Furthermore, supplemental information, such as the telemetry of OCTS, 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_L1A_RTC_VNR
- 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
- L1A
- 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 L1A RTC Visible and near infrared
- Distribution Format
- HDF
- Fees
- Free
- Citation
- Japan Aerospace Exploration Agency. 1996. ADEOS/OCTS L1A RTC Visible and near infrared. https://doi.org/10.57746/EO.01gs73bkpmkyd5w5734yxc0geb
- Access Constraints
No constraints but users need to be registered with the G-portal User Registration system to download files.
- 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
-
- GEOSCIENTIFIC INFORMATION
- IMAGERY/BASE MAPS/EARTH COVER
- Science Keywords
-
- EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY
- EARTH SCIENCE > SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS > INFRARED IMAGERY
- 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.