WIAD

WIAD analyzes and archives high-resolution wood sample images to extract quantitative and visual features (e.g., growth increments, density fluctuations, early- and latewood widths, fire scars, color, and texture) for dendrochronological and ecological research.

Key Features:

• Digitization support: Supports digitization of wood samples including increment cores, thin sections, and x-ray films for downstream analysis.
• Visual analysis: Extracts and measures growth increments, density fluctuations, early- and latewood widths, fire scars, and quantifies color and texture from images.
• Data processing and archiving: Processes and archives original images and derived data, enabling traceability of analyses and datasets.
• Transparency and reproducibility: Links image-derived measurements with archived data and metadata to promote reproducible research outputs.

Scientific Applications:

• Dendrochronology: Supports ring-width and multi-parameter analyses for tree-ring dating and chronology development.
• Paleoclimatology: Enables reconstruction of past climatic conditions from ring properties and density variations.
• Ecology and environmental change: Facilitates study of environmental impacts on tree growth patterns using visual and quantitative wood features.
• Cross-disciplinary research: Provides image-derived datasets usable in archaeology, geology, climatology, and chronology studies.

Methodology:

Capture high-resolution images of wood samples; annotate specific features within images; measure parameters and derive metrics from images; and store images, measurements, and metadata in a structured archive.