Comparison of Random Forest and LandTrendr Algorithms for Eucalyptus Area Identification in the Landsat Temporal Series (1985 to 2020)
Published: 19 June 2024| Version 1 | DOI: 10.17632/jdrx42jds9.1
Contributors:
Debora Ferraz, Description
Data used in the development of the research entitled: "Comparison of Random Forest and LandTrendr Algorithms for Eucalyptus Area Identification in the Landsat Temporal Series (1985 to 2020)"
Files
Institutions
Universidade Federal Fluminense
Categories
Remote Sensing, Machine Learning, Time Series Analysis, Sylviculture
Funding
National Council for Scientific and Technological Development
306965/2021-6
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
E-26/211.697/2021