Home › Categories › Business & Finance› Visualising Sources Of Uncertainty In Land Cover Maps

Visualising Sources Of Uncertainty In Land Cover Maps.pdf

GADS1778--Land-use-cover-mapping-CS-WEB-AMEND-21.08.2023.pdf

Preview of Visualising sources of uncertainty in land cover maps

🔗 Source: meteoc.org

📊 Size: 920 KB

📄 Pages: 3 pages

⬇️ Downloads: 27

Summary

Land cover maps are crucial for monitoring and managing land cover conditions, and their quality is a topic of ongoing research. Current quality assessment practices have limitations, and proposed methods for obtaining spatially-explicit understandings of map quality rely on interpolation techniques or probability output of classifiers. However, these methods do not account for uncertainties associated with input data. A metrologically-rigorous approach would involve propagating uncertainties through the entire processing chain, from raw digital numbers to land cover map, using the law of propagation of uncertainty. This would provide per-pixel uncertainties of the land cover map, enhancing the quality of downstream products such as climate and carbon flux models.

Download File

Description

Land cover maps are crucial for monitoring and managing land cover conditions, and their quality is a topic of ongoing research.

Technical Information

File Format: PDF
File Size: 920 KB
Pages: 3
Language: EN
Total Downloads: 27
Last Updated: 2 months ago

Document Overview

This PDF document about Visualising sources of uncertainty in land cover maps provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Visualising sources of uncertainty in land cover maps.