mosaic_interpolate

Performs the interpolation of points from a raster object.

Tools for both single and batch image manipulation and
analysis (Olivoto, 2022 <doi:10.1111/2041-210X.13803>) and
phytopathometry (Olivoto et al., 2022 <doi:10.1007/S40858-021-00487-5>).
The tools can be used for the quantification of leaf area, object
counting, extraction of image indexes, shape measurement, object
landmark identification, and Elliptical Fourier Analysis of object
outlines (Claude (2008) <doi:10.1007/978-0-387-77789-4>). The package
also provides a comprehensive pipeline for generating shapefiles with
complex layouts and supports high-throughput phenotyping of RGB,
multispectral, and hyperspectral orthomosaics. This functionality
facilitates field phenotyping using UAV- or satellite-based imagery.

Tiago Olivoto

pliman

Tools for Plant Image Analysis

mosaic_interpolate function

<dl><dt>mosaic</dt>
<dd>An <code>SpatRaster</code> object</dd>
<dt>points</dt>
<dd>An <code>sf</code> object with the points for x and y coordinates, usually
obtained with <code>shapefile_build()</code>. Alternatively, an external shapefile
imported with <code>shapefile_input()</code> containing the x and y coordinates can be
used. The function will handle most used shapefile formats (eg.,
.shp, .rds) and convert the imported shapefile to an sf object.</dd>
<dt>method</dt>
<dd>One of "bilinear" (default), "loess" (local regression) or
"idw" (Inverse Distance Weighting).</dd></dl>

Arguments

Mosaic interpolation — mosaic_interpolate

<dl>

<dt>mosaic</dt>
<dd>An <code>SpatRaster</code> object</dd>


<dt>points</dt>
<dd>An <code>sf</code> object with the points for x and y coordinates, usually
obtained with <code>shapefile_build()</code>. Alternatively, an external shapefile
imported with <code>shapefile_input()</code> containing the x and y coordinates can be
used. The function will handle most used shapefile formats (eg.,
.shp, .rds) and convert the imported shapefile to an sf object.</dd>


<dt>method</dt>
<dd>One of "bilinear" (default), "loess" (local regression) or
"idw" (Inverse Distance Weighting).</dd>

</dl>

mosaic_interpolate: Mosaic interpolation

Description

Usage

Value

Arguments