Contribution of Photogrammetry for Geometric Quality Assessment of Satellite Data for Global Climate Monitoring


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KOCAMAN GÖKÇEOĞLU S., Seiz G.

Remote Sensing, vol.15, no.18, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Review
  • Volume: 15 Issue: 18
  • Publication Date: 2023
  • Doi Number: 10.3390/rs15184575
  • Journal Name: Remote Sensing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, Compendex, INSPEC, Veterinary Science Database, Directory of Open Access Journals
  • Keywords: climate monitoring, ECVs, GCOS, geometric quality, image matching, multispectral images, optical remote sensing, photogrammetry, precision
  • Hacettepe University Affiliated: Yes

Abstract

This article reviews the role that photogrammetry plays in evaluating the geometric quality of satellite products in connection to the long-term monitoring of essential climate variables (ECVs). The Global Climate Observing System (GCOS) is responsible for defining the observations required for climate monitoring. Only satellite products are capable of providing high-quality observations of a particular subset of ECVs on a global scale. Geometric calibration and validation of these products are crucial for ensuring the coherence of data obtained across platforms and sensors and reliable monitoring in the long term. Here, we analyzed the GCOS implementation plan and the data quality requirements and explored various geometric quality aspects, such as internal and external accuracy and band-to-band registration assessment, for a number of satellite sensors commonly used for climate monitoring. Both geostationary (GEO) and low-earth orbit (LEO) sensors with resolutions between 250 m and 3 km were evaluated for this purpose. The article highlights that the geometric quality issues vary with the sensor, and regular monitoring of data quality and tuning of calibration parameters are essential for identifying and reducing the uncertainty in the derived climate observations.