Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series RN Masolele, V De Sy, M Herold, D Marcos, J Verbesselt, F Gieseke, ... Remote Sensing of Environment 264, 112600, 2021 | 81 | 2021 |
Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia RN Masolele, V De Sy, D Marcos, J Verbesselt, F Gieseke, KA Mulatu, ... GIScience & Remote Sensing 59 (1), 1446-1472, 2022 | 16 | 2022 |
Mapping the diversity of land uses following deforestation across Africa RN Masolele, D Marcos, V De Sy, IO Abu, J Verbesselt, J Reiche, ... Scientific Reports 14 (1), 1681, 2024 | 14 | 2024 |
ALOS-2 PALSAR-2 L-band cross-polarized radar data analysis for modelling above-ground biomass/carbon stock and carbon sequestration of tropical rainforest, Berkelah, Malaysia RN Masolele University of Twente, 2018 | 5 | 2018 |
Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence J Reiche, J Balling, AH Pickens, RN Masolele, A Berger, MJ Weisse, ... Environmental Research Letters 19 (5), 054011, 2024 | 1 | 2024 |
An assessment of recent peat forest disturbances and their drivers in the Cuvette Centrale, Africa K Nesha, M Herold, J Reiche, R Masolele, K Hergoualc’h, E Swails, ... Environmental Research Letters, 2024 | | 2024 |
Deforestation triggered by artisanal mining in eastern Democratic Republic of the Congo M Ladewig, A Angelsen, RN Masolele, C Chervier Nature Sustainability, 1-9, 2024 | | 2024 |
Artisanal Mining Triggers Deforestation in the Democratic Republic of Congo M Ladewig, R Masolele, C Chervier, A Angelsen | | 2024 |
Assessing land use following tropical deforestation: Combining remote sensing and deep learning RN Masolele PQDT-Global, 2023 | | 2023 |