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Global 0.05° Grid-Based Dataset of Keyhole Imagery with Spatio-Temporal Indicators (1960-1984).

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  • 1School of Geography and Environment, Liaocheng University, Liaocheng, 252059, China.

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A new dataset organizes declassified U.S. Keyhole imagery (1960-1984) for geoscience research. This global grid-based data simplifies accessing historical satellite images, aiding study design and integration with modern data.

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Area of Science:

  • Geoscience
  • Remote Sensing
  • Historical Data Analysis

Background:

  • Declassified U.S. Keyhole imagery offers valuable high-resolution, early temporal data for geoscience research.
  • The uneven spatial and temporal distribution of Keyhole imagery hinders efficient researcher access and selection.
  • Standardized metadata and distribution information are lacking for effective utilization of this historical satellite data.

Purpose of the Study:

  • To introduce a global grid-based dataset organizing declassified U.S. Keyhole imagery (1960-1984).
  • To standardize scene metadata and provide indicators for improved study design and data integration.
  • To facilitate easier access, selection, and utilization of historical satellite imagery for research.

Main Methods:

  • Development of a global equal-area sinusoidal grid system.
  • Organization of declassified U.S. Keyhole imagery (1960-1984) onto the grid.
  • Standardization of scene metadata, including coverage count, acquisition dates, observation bounds, span, peak year, resolution class, and temporal-coverage class.

Main Results:

  • A comprehensive global dataset of declassified U.S. Keyhole imagery (1960-1984) is now available.
  • Standardized metadata and derived indicators (e.g., coverage count, temporal richness, resolution class) are provided.
  • The dataset enables efficient location of usable scenes, assessment of temporal suitability, and integration with modern satellite data.

Conclusions:

  • The new dataset significantly enhances the usability of historical Keyhole imagery for geoscience research.
  • Researchers can now more effectively select, access, and integrate historical satellite data into their studies.
  • This resource supports informed decisions regarding the purchase of non-free imagery when free options are insufficient.