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Development and evaluation of data fusion method for vegetation big data products observed by earth observation sensors

Research Project

Project/Area Number 20K12259
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 64040:Social-ecological systems-related
Research InstitutionAichi Prefectural University

Principal Investigator

Obata Kenta  愛知県立大学, 情報科学部, 准教授 (80758201)

Co-Investigator(Kenkyū-buntansha) 吉岡 博貴  愛知県立大学, 情報科学部, 教授 (40332944)
Project Period (FY) 2020-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Keywords地球観測 / リモートセンシング / 植生 / 反射率 / センサ調和 / 大気補正 / 放射量校正 / 植生指数 / センサ間変換 / センサ統融合 / 相互校正 / 統融合 / 緑被率 / 静止衛星 / 低軌道衛星 / 人工衛星 / 植生プロダクト
Outline of Research at the Start

地球温暖化予測精度の向上には二酸化炭素の吸収源である陸域植生の時空間変動量を正確に定量する必要がある。その有効な手段として地球観測衛星や近年台頭する数百機~数千機の小型衛星群で取得された植生ビッグデータプロダクトの統合利用がある。しかし,センサ統合利用時には,センサ設計仕様差に起因する植生データプロダクトの系統誤差が発生する。本研究では,その系統誤差メカニズムの理論を構築し,その理論にもとづく植生ビッグデータプロダクトの統融合手法を開発する。

Outline of Final Research Achievements

This study developed and demonstrated algorithms for reducing systematic differences in vegetation indices (VIs) caused by the differences of sensors and product generation algorithms, aiming at accurate estimations for spatiotemporal variation of terrestrial vegetation using Earth observation satellites.
First, we developed and demonstrated theories and algorithms for cross-sensor VI transformation, confirming that sufficient transformation accuracy was achieved. However, the transformation accuracy decreased when atmospheric correction level between sensors is not identical. To address this issue, we newly developed theories and algorithms for cross-sensor reflectance transformations. Subsequently, we conducted numerical experiments using actual data, confirming sufficient accuracy for the reflectance and VIs transformations between sensors, and identified factors contributing to uncertainties of the algorithm.

Academic Significance and Societal Importance of the Research Achievements

本研究で構築したアルゴリズムでは,モデル中の変数がすべて物理的な意味を持ち説明可能である。また,モデル中の変数は各センサデータから個別に計算できることから,いわゆる"学習"に必要なセンサデータのペアが不要である。これにより,通常の回帰や機械学習に比べて計算量の削減が期待できることが示唆される。
現在,仕様や品質の異なる様々な人工衛星が運用されており,これら衛星データから均一な地表面反射率を導き出す取り組みは数多く報告されている。本研究で提案したアルゴリズムは,アルゴリズムの説明可能性,実用性,および計算量低減可能性という観点で当研究分野に一定の貢献を果たすものと考える。

Report

(5 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (8 results)

All 2024 2023 2022 2021 2020

All Journal Article (5 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 5 results,  Open Access: 5 results) Presentation (3 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] Unmixing-based radiometric and spectral harmonization for consistency of multi-sensor reflectance time-series data2024

    • Author(s)
      Obata Kenta, Yoshioka Hiroki
    • Journal Title

      ISPRS Journal of Photogrametry and Remote Sensing

      Volume: 212 Pages: 396-411

    • DOI

      10.1016/j.isprsjprs.2024.05.016

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Wavelength Extension of the Optimized Asymmetric-Order Vegetation Isoline Equation to Cover the Range from Visible to Near-Infrared2022

    • Author(s)
      Miura Munenori、Obata Kenta、Yoshioka Hiroki
    • Journal Title

      Remote Sensing

      Volume: 14 Issue: 9 Pages: 2289-2289

    • DOI

      10.3390/rs14092289

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Development and Demonstration of a Method for GEO-to-LEO NDVI Transformation2021

    • Author(s)
      Obata Kenta、Taniguchi Kenta、Matsuoka Masayuki、Yoshioka Hiroki
    • Journal Title

      Remote Sensing

      Volume: 13 Issue: 20 Pages: 4085-4085

    • DOI

      10.3390/rs13204085

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Validation and analysis of Terra and Aqua MODIS, and SNPP VIIRS vegetation indices under zero vegetation conditions: A case study using Railroad Valley Playa2021

    • Author(s)
      Miura Tomoaki、Smith Charlotte Z.、Yoshioka Hiroki
    • Journal Title

      Remote Sensing of Environment

      Volume: 257 Pages: 112344-112344

    • DOI

      10.1016/j.rse.2021.112344

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Simple Algorithm for Deriving an NDVI-Based Index Compatible between GEO and LEO Sensors: Capabilities and Limitations in Japan2020

    • Author(s)
      Obata Kenta、Yoshioka Hiroki
    • Journal Title

      Remote Sensing

      Volume: 12 Issue: 15 Pages: 2417-2417

    • DOI

      10.3390/rs12152417

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Vegetation seasonality observed in Himawari-8 AHI NDVI time-series data over evergreen broad-leaved and coniferous forests in East Asia2023

    • Author(s)
      K. Obata, H. Yoshioka
    • Organizer
      JPGU2023
    • Related Report
      2023 Annual Research Report
  • [Presentation] Producing MODIS-like NDVI Data with 10-minute Temporal Resolution from Himawari 8 AHI Data: Preliminary Results2022

    • Author(s)
      Kenta Obata, Hiroki Yoshioka
    • Organizer
      AOGS 19th Annual Meeting (AOGS2022)
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] Analysis of differences between NDVI-based indices of Himawari 8 AHI and Aqua MODIS using Rayleigh-corrected reflectances2020

    • Author(s)
      Kenta Obata, Hiroki Yoshioka
    • Organizer
      JpGU-AGU Joint Meeting 2020, Virtual Meeting
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research

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Published: 2020-04-28   Modified: 2025-01-30  

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