Global mapping of potential natural vegetation: an assessment of Machine Learning algorithms for estimating land potential

• Published in: PeerJ preprints
• Main Authors: Hengl, Tomislav, Walsh, Markus G, Sanderman, Jonathan, Wheeler, Ichsani, Harrison, Sandy P, Prentice, Iain C
• Format: Journal Article
• Language: English
• Published: San Diego PeerJ, Inc 30.03.2018
• Subjects: Algorithms; Artificial intelligence; Bioclimatology; Ecosystems; Learning algorithms; Mapping; Natural vegetation; Neural networks; Precipitation; Regression analysis; Spatial discrimination; Species

Potential Natural Vegetation (PNV) is the vegetation cover in equilibrium with climate, that would exist at a given location non-impacted by human activities. PNV is useful for raising public awareness about land degradation and for estimating land potential. This paper presents results of assessing...