lakemorpho

lakemorpho estimates lake morphometry metrics from digital elevation models and hydrography data to support limnological and ecological analyses.

Key Features:

• Computed morphometry metrics: Calculates surface area, shoreline length, major and minor axis lengths and their ratio, shoreline development, maximum depth, mean depth, volume, maximum lake length, mean lake width, maximum lake width, and fetch.
• Input data: Uses digital elevation models (DEMs), hydrography datasets, and national spatial datasets as input sources.
• Predictive modeling: Applies predictive modeling approaches to estimate morphometry parameters when empirical measurements are unavailable.
• Implementation: Implemented as an R package for computational estimation of lake morphometry metrics.
• Reproducibility: Produces standardized, reproducible morphometry estimates suitable for comparative and large-scale analyses.

Scientific Applications:

• Limnological studies: Provides morphometry metrics used in studies of lake physics, chemistry, and ecology.
• Broad-scale ecological modeling: Enables modeling of lake ecology across many waterbodies using spatial datasets.
• Data gap filling: Estimates missing or inaccessible in-situ lake morphometry data for lakes lacking measurements.
• In-lake process analysis: Supplies inputs such as depth, volume, and fetch required for analyses of in-lake processes.

Methodology:

Uses digital elevation models (DEMs) and hydrography data as inputs and applies predictive modeling implemented in R to derive the listed morphometry metrics.