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Accuracy of the evaluation of forest areas based on Landsat data using free software Cover

Accuracy of the evaluation of forest areas based on Landsat data using free software

Open Access
|Jun 2023

Figures & Tables

Figure 1.

Schematic of the algorithm
Schematic of the algorithm

Figure 2.

Study area–Polish Carpathian region
Study area–Polish Carpathian region

Figure 3.

Colour composition from near infrared, green and blue channels
Colour composition from near infrared, green and blue channels

Figure 4.

Example of a drawn training field
Example of a drawn training field

Figure 5.

Dialogue box for adding a new layer
Dialogue box for adding a new layer

Figure 6.

Binary image (white represents forests)
Binary image (white represents forests)

Figure 7.

Classified image in the Google Earth Engine map window
Classified image in the Google Earth Engine map window

Figure 8.

Comparison of the classified image with the forest mask of the FORECOM project
Comparison of the classified image with the forest mask of the FORECOM project

Results comparison with other sources

SourceForest area [ha]Carpathian area [ha]Forest cover coefficient [%]Topicality
Google Earth Engine910 1491 939 01046.92013
Forest Data Bank772 8841 937 60239.92013
Corine Land Cover934 4941 937 60248.22012

Error matrix for validation data

ForestWaterOther areaBuilt-up area
Forest13 302     0 313  5
Water     613 247  45 45
Other areas   541    147599 90
Built-up area     1    10 143723

Classification error matrix in Google Earth Engine

Class 0Class 1Class 2Class 3
Class 0n00n01n02n13
Class 1n10n11n12n23
Class 2n20n21n22n23
Class 3n30n31n32n33

Results of the accuracy analysis

ClassManufacturer accuracyUser accuracy
Forest0.9760.960
Water0.9930.998
Other0.9220.938
Construction0.8240.837
Overall accuracy0.966
Kappa0.950
DOI: https://doi.org/10.2478/ffp-2023-0008 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
Language: English
Page range: 76 - 85
Submitted on: Nov 21, 2022
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Accepted on: Feb 27, 2023
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Published on: Jun 12, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Paulina Zając, Ewa Dębińska, Kamil Maciuk, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.