UNDERSTANDING MODIFIABLE AERIAL UNIT PROBLEM IN FOREST AREA ASSESSMENTS: A MULTI-DATASET APPROACH FOR RELIABLE SDG INDICATOR REPORTING
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Ricker, Britta | |
dc.contributor.author | Tsakona, Archontoula | |
dc.date.accessioned | 2025-04-10T23:01:28Z | |
dc.date.available | 2025-04-10T23:01:28Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/48833 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | The research explore the impact of dataset selection and spatial scale on the interpretation and reporting of forest area, with a focus on the Modifiable Areal Unit Problem (MAUP) in forest assessments for Sustainable Development Goals (SDGs). | |
dc.title | UNDERSTANDING MODIFIABLE AERIAL UNIT PROBLEM IN FOREST AREA ASSESSMENTS: A MULTI-DATASET APPROACH FOR RELIABLE SDG INDICATOR REPORTING | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Sustainable Development | |
dc.thesis.id | 44966 |