ref_sf

sample_ref_sf

<code>ref_sf</code>: a dataset containing field boundaries from Luiz Eduardo Magalhaes
municipality, Brazil.
The data covers the following extent:
xmin: -46.37683 ymin: -12.34579 xmax: -46.15776 ymax: -12.13663
CRS: EPSG:4326
<code>sample_ref_sf</code>: a subset of <code>ref_sf</code> dataset.

datasets

A system that computes metrics to assess the segmentation
accuracy of geospatial data. These metrics calculate the discrepancy
between segmented and reference objects, and indicate the segmentation
accuracy. For more details on choosing evaluation metrics, we
suggest seeing Costa et al. (2018) <doi:10.1016/j.rse.2017.11.024> and
Jozdani et al. (2020) <doi:10.1016/j.isprsjprs.2020.01.002>.

Michelle Picoli

segmetric

Metrics for Assessing Segmentation Accuracy for Geospatial Data

Rolf Simoes

Alber Sanchez

ref_sf function

These datasets are objects of class <code>sf</code> (inherited from <code>tbl_df</code>,
<code>tbl</code>, <code>data.frame</code>) with 2 variables:<ul>
<li><code>id</code>: identification</li>
<li><code>geometry</code>: polygons</li>
</ul><code>ref_sf</code>: a dataset with 195 features.
<code>sample_ref_sf</code>: a dataset with 5 features.

Format

LEM+ dataset — ref_sf

These datasets are objects of class <code>sf</code> (inherited from <code>tbl_df</code>,
<code>tbl</code>, <code>data.frame</code>) with 2 variables:<ul>
<li><code>id</code>: identification</li>
<li><code>geometry</code>: polygons</li>
</ul>

<code>ref_sf</code>: a dataset with 195 features.
<code>sample_ref_sf</code>: a dataset with 5 features.

ref_sf: LEM+ dataset

Description

Usage

Arguments

Format

References

Examples