Database for comparing two algorithms that classify time series of Landsat images
Published: 28 June 2024| Version 2 | DOI: 10.17632/jdrx42jds9.2
Contributors:
, 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 FluminenseRio de Janeiro, Niteroi
Categories
Remote Sensing, Machine Learning, Time Series Analysis, Sylviculture
Funders
- National Council for Scientific and Technological DevelopmentFederal District, BrazilGrant ID: 306965/2021-6
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroRio de Janeiro, BrazilGrant ID: E-26/211.697/2021