Abstract

Abstract. The “Advanced Land Observing Satellite-3” (ALOS-3, nicknamed “DAICHI-3”) is the next high-resolution optical mission as a successor of the optical mission by the Advanced Land Observing Satellite (ALOS, “DAICHI”) in Japan Aerospace Exploration Agency (JAXA), and will be launched in Japanese Fiscal Year 2020. ALOS-3 is now under developing the flight model. The major missions of ALOS-3 are (1) to contribute safe and secure social including provision for natural disasters, and (2) to create and update geospatial information in land and coastal areas. To achieve the missions, the “WIde-Swath and High-resolution optical imager” (WISH, as a tentative name) is mounted on ALOS-3, which consists of the high-resolution panchromatic- and multispectral-bands.This paper introduces the overview of ALOS-3’s mission and the calibration and validation plan at JAXA. The standard product is the system corrected data using the sensor models, which will be provided from the sensor development team. Therefore, the sensor calibration is directly affected to the accuracies of the standard product. In addition, the sensor model based the Rational Polynomial Coefficient will be contained with level 1B2 standard product that can be used to process an ortho rectification and three-dimensional measurement from ALOS-3 images. As the target accuracy of WISH’s standard products, the geometric accuracies are less than 5 m in horizontal without ground control point (GCP), and 1.25 m in horizontal and 2.5 m in vertical with GCPs (1 sigma), and the radiometric accuracy is ± 10 % as absolutely and ± 5 % as relatively for multispectral band.

Highlights

  • The “Advanced Land Observing Satellite-3” (ALOS-3, nicknamed “DAICHI-3”) is the high-resolution optical mission as a successor of the optical mission by the Advanced Land Observing Satellite (ALOS, “DAICHI”) in Japan Aerospace Exploration Agency (JAXA) (Shimada et al, 2010)

  • - Ortho-rectified image of Panchromatic band (Pan) (ORI-Pan) - Ortho-rectified image of Multi (ORI-Multispectral band (Mul)) - Ortho-rectified pan-sharpened image (ORI-PSI) - Precise Digital Surface Model (DSM) - Atmospheric corrected image (ATC) - Automatic change detected image (ACDI) - High resolution land cover classification (HRLCC) - Coastal zone environment monitoring (CZM) Other research products as well as applications will be investigated by individual cooperation research activities and the Research Announcement (RA) activity

  • This paper introduced the overview of ALOS-3’s mission and products, the calibration and validation plan that will be conducted from the initial calibration phase between three and six months after launch

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Summary

INTRODUCTION

The “Advanced Land Observing Satellite-3” (ALOS-3, nicknamed “DAICHI-3”) is the high-resolution optical mission as a successor of the optical mission by the Advanced Land Observing Satellite (ALOS, “DAICHI”) in Japan Aerospace Exploration Agency (JAXA) (Shimada et al, 2010). ALOS-3 is under developing the flight model after the Critical Design Review (CDR) phase (Katayama et al, 2016). The major mission objectives are (1) to contribute safe and secure social including provisions for natural disasters, and (2) to create and update geospatial information in land and coastal areas. The “WIde-Swath and High-resolution optical imager” (WISH, as a tentative name) will be mounted on ALOS-3, which consists of 0.8 m resolution of panchromatic band and 3.2 m resolution of multispectral six bands with 70 km of observation swath width. This paper describes overviews of ALOS-3’s missions, products, and the calibration and validation plan of WISH

Safe and secure social including provision for natural disasters
Geospatial information in land and coastal areas
Specifications of ALOS-3 and WISH
Data products of ALOS-3
Standard product
High-level product
CALIBRATION AND VALIDATION OF ALOS-3
Test sites establishment with reference data
Geometric calibration and DSM validation
Radiometric calibration and surface reflectance validation
Image quality evaluations
Findings
CONCLUSIONS
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