Supplemental material
GIScience & Remote Sensing
Volume 61, 2024 - Issue 1
Research Article
High-dimensional detection of Landscape Dynamics: a Landsat time series-based algorithm for forest disturbance mapping and beyond
Donato Morresia Department of Agricultural, Forest and Food Sciences, University of Torino, Grugliasco, IT, ItalyCorrespondence[email protected]
https://orcid.org/0000-0002-3545-872XView further author information
https://orcid.org/0000-0002-3545-872XView further author information, Hyeyoung Maengb Department of Mathematical Sciences, Durham University, Durham, UKhttps://orcid.org/0000-0001-7835-5862View further author information
https://orcid.org/0000-0001-7835-5862View further author information, Raffaella Marzanoa Department of Agricultural, Forest and Food Sciences, University of Torino, Grugliasco, IT, Italyhttps://orcid.org/0000-0003-4691-8872View further author information
https://orcid.org/0000-0003-4691-8872View further author information, Emanuele Linguac Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro, IT, Italyhttps://orcid.org/0000-0001-9515-7657View further author information
https://orcid.org/0000-0001-9515-7657View further author information, Renzo Mottaa Department of Agricultural, Forest and Food Sciences, University of Torino, Grugliasco, IT, Italyhttps://orcid.org/0000-0002-1631-3840View further author information
https://orcid.org/0000-0002-1631-3840View further author information & Matteo Garbarinoa Department of Agricultural, Forest and Food Sciences, University of Torino, Grugliasco, IT, Italyhttps://orcid.org/0000-0002-9010-1731View further author information
https://orcid.org/0000-0002-9010-1731View further author information