Assessing land use following tropical deforestation: Combining remote sensing and deep learning

Research output: Thesis › internal PhD, WU

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Wageningen University
Supervisors/Advisors	Herold, Martin, Promotor De Sy, V., Co-promotor Marcos, D., Co-promotor, External person
Award date	5 Apr 2023
Place of Publication	Wageningen
Publisher	Wageningen University
Print ISBNs	9789464475395
DOIs	https://doi.org/10.18174/583842
Publication status	Published - 5 Apr 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Assessment of deforestation related land use change using remote sensing time series.
Masolele, R. (PhD candidate), Herold, M. (Promotor), Marcos Gonzalez, D. (Co-promotor), de Sy, N. (Co-promotor) & Verbesselt, J. (Other)
1/02/19 → 5/04/23
Project: PhD

@phdthesis{c154cb27b7814297ac3143c568e09282,

title = "Assessing land use following tropical deforestation: Combining remote sensing and deep learning",

author = "Masolele, {Robert N.}",

year = "2023",

month = apr,

day = "5",

doi = "10.18174/583842",

language = "English",

isbn = "9789464475395",

publisher = "Wageningen University",

address = "Netherlands",

type = "internal PhD, WU",

school = "Wageningen University",

}