Improving satellite remote sensing methodologies for analyzing landscape dynamics in arid environments with focus on Egypt

José Manuel Delgado Blasco

Research output: Thesis › Dissertation (TU Delft)

82 Downloads (Pure)

Original language	English
Awarding Institution	Delft University of Technology Katholieke Universiteit Leuven
Supervisors/Advisors	Hanssen, R.F., Supervisor Verstraeten, Gert, Supervisor, External person
Award date	4 Apr 2023
Print ISBNs	978-94-6361-830-4
DOIs	https://doi.org/10.4233/uuid:f3e42dee-c691-4dc8-879d-6b0f828c9d8f
Publication status	Published - 2023

Keywords

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

@phdthesis{f3e42deec6914dc8879d6b0f828c9d8f,

title = "Improving satellite remote sensing methodologies for analyzing landscape dynamics in arid environments with focus on Egypt",

keywords = "Earth Observation, SAR, Radar, Urbanization, Land Use Change, Dunes dynamics, Data Fusion, Machine Learning",

author = "{Delgado Blasco}, {Jos{\'e} Manuel}",

year = "2023",

doi = "10.4233/uuid:f3e42dee-c691-4dc8-879d-6b0f828c9d8f",

language = "English",

isbn = "978-94-6361-830-4",

type = "Dissertation (TU Delft)",

school = "Delft University of Technology, Katholieke Universiteit Leuven",

}

TY - THES

T1 - Improving satellite remote sensing methodologies for analyzing landscape dynamics in arid environments with focus on Egypt

AU - Delgado Blasco, José Manuel

PY - 2023

Y1 - 2023

KW - Earth Observation

KW - SAR

KW - Radar

KW - Urbanization

KW - Land Use Change

KW - Dunes dynamics

KW - Data Fusion

KW - Machine Learning

U2 - 10.4233/uuid:f3e42dee-c691-4dc8-879d-6b0f828c9d8f

DO - 10.4233/uuid:f3e42dee-c691-4dc8-879d-6b0f828c9d8f

M3 - Dissertation (TU Delft)

SN - 978-94-6361-830-4

ER -