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Home » Knowledge » Author

Masolele, R.N.

Authored by Masolele, R.N.

Publications

Publication

2022

Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia

Publication

2021

Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

Get the CIFOR latest news

Center for International Forestry Research (CIFOR)

CIFOR advances human well-being, equity and environmental integrity by conducting innovative research, developing partners’ capacity, and actively engaging in dialogue with all stakeholders to inform policies and practices that affect forests and people. CIFOR is a CGIAR Research Center, and leads the CGIAR Research Program on Forests, Trees and Agroforestry (FTA).The Global Landscapes Forum is led by CIFOR, in collaboration with its co-founders UNEP and the World Bank and Charter Members.

Our headquarters are in Bogor, Indonesia, with offices in Nairobi, Kenya; Yaounde, Cameroon; Lima, Peru; and Bonn, Germany.

CIFOR Headquarters

Jalan CIFOR
Situ Gede, Bogor Barat,
Bogor 16115,
Jawa Barat, Indonesia
Telephone: 62-251-8622-622
Fax: 62-251-8622-100

CIFOR - Hubs

Lima, Peru
Nairobi, Kenya
Yaounde, Cameroon
Bonn, Germany

CIFOR - Others

Addis Ababa, Ethiopia
Hanoi, Vietnam
Lusaka, Zambia
Ouagadougou, Burkina Faso

See contact details

Knowledge

Publications
Forests News
Videos
Presentations
Photos
Projects database
Datasets

Our work

About CIFOR
Annual reports
Board of Trustees
CIFOR – ICRAF
Corporate policies
Financial statements
Strategy
Work with us

Research

Research teams
Research topics

See contact details

2023 Center for International Forestry Research (CIFOR) | CIFOR is a CGIAR Research Center

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Check out cifor-icraf.org!

Locations

Get the CIFOR publications update

Explore our knowledge

Events

Featured events

News

Latest news

Authored by Masolele, R.N.

Publications

Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia

Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

Get the CIFOR latest news