Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5387-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5387-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
14 Dec 2022
Data description paper |
| 14 Dec 2022
| 14 Dec 2022
Location, biophysical and agronomic parameters for croplands in northern Ghana
Jose Luis Gómez-Dans
CORRESPONDING AUTHOR
National Centre for Earth Observation, Leicester, UK
Dept. of Geography, University College London, London, UK
Philip Edward Lewis
National Centre for Earth Observation, Leicester, UK
Dept. of Geography, University College London, London, UK
Feng Yin
National Centre for Earth Observation, Leicester, UK
Dept. of Geography, University College London, London, UK
Kofi Asare
Remote Sensing, GIS & Climate Center, Ghana Space Science Technology Institute, Accra, Ghana
Patrick Lamptey
Remote Sensing, GIS & Climate Center, Ghana Space Science Technology Institute, Accra, Ghana
Kenneth Kobina Yedu Aidoo
Remote Sensing, GIS & Climate Center, Ghana Space Science Technology Institute, Accra, Ghana
Dilys Sefakor MacCarthy
Soil and Irrigation Research Centre, University of Ghana, Accra,
Ghana
Hongyuan Ma
Dept. of Geography, University College London, London, UK
Qingling Wu
Dept. of Geography, University College London, London, UK
Martin Addi
Remote Sensing, GIS & Climate Center, Ghana Space Science Technology Institute, Accra, Ghana
Stephen Aboagye-Ntow
Remote Sensing, GIS & Climate Center, Ghana Space Science Technology Institute, Accra, Ghana
Caroline Edinam Doe
Remote Sensing, GIS & Climate Center, Ghana Space Science Technology Institute, Accra, Ghana
Rahaman Alhassan
ADRA Ghana, Tamale, Ghana
Isaac Kankam-Boadu
ADRA Ghana, Tamale, Ghana
Jianxi Huang
Department of Geographical Information Engineering, China Agricultural University, Beijing, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of
Agriculture and Rural Affairs, Beijing 100083, China
Xuecao Li
Department of Geographical Information Engineering, China Agricultural University, Beijing, China
Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of
Agriculture and Rural Affairs, Beijing 100083, China
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Cited
8 citations as recorded by crossref.
- Advancements in Leaf Area Index Estimation for Maize Using Modeling and Remote Sensing Techniques: A Review K. Bakó et al. 10.3390/agronomy15030519
- Can drone images predict within-field variability in soil fertility? A case study in the Northern Region of Ghana Y. Kassim et al. 10.3389/fsoil.2025.1548645
- Occurrence of pesticide residues and associated ecological risks assessment in water and sediment from selected dams in northern Ghana A. Orou-Seko et al. 10.1371/journal.pone.0312273
- CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada P. Sarzaeim et al. 10.5194/essd-15-3963-2023
- Reusability check-based refinement of a biophysical fishpond model P. Sharma et al. 10.1016/j.compag.2024.108664
- A Review: Potential of Earth Observation (EO) for Mapping Small-Scale Agriculture and Cropping Systems in West Africa N. Heiss et al. 10.3390/land14010171
- Location, biophysical and agronomic parameters for croplands in northern Ghana J. Gómez-Dans et al. 10.5194/essd-14-5387-2022
- Land use land cover (LULC) degradation intensity analysis of Guinea savannah and mosaic Forest savannah zones in Ghana K. Dahan et al. 10.1080/27669645.2023.2255443
6 citations as recorded by crossref.
- Advancements in Leaf Area Index Estimation for Maize Using Modeling and Remote Sensing Techniques: A Review K. Bakó et al. 10.3390/agronomy15030519
- Can drone images predict within-field variability in soil fertility? A case study in the Northern Region of Ghana Y. Kassim et al. 10.3389/fsoil.2025.1548645
- Occurrence of pesticide residues and associated ecological risks assessment in water and sediment from selected dams in northern Ghana A. Orou-Seko et al. 10.1371/journal.pone.0312273
- CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada P. Sarzaeim et al. 10.5194/essd-15-3963-2023
- Reusability check-based refinement of a biophysical fishpond model P. Sharma et al. 10.1016/j.compag.2024.108664
- A Review: Potential of Earth Observation (EO) for Mapping Small-Scale Agriculture and Cropping Systems in West Africa N. Heiss et al. 10.3390/land14010171
2 citations as recorded by crossref.
Latest update: 24 Jun 2025
Short summary
We provide a data set to support mapping croplands in smallholder landscapes in Ghana. The data set contains information on crop location on three agroecological zones for 2 years, temporal series of measurements of leaf area index and leaf chlorophyll concentration for maize canopies and yield. We demonstrate the use of these data to validate cropland masks, create a maize mask using satellite data and explore the relationship between satellite measurements and yield.
We provide a data set to support mapping croplands in smallholder landscapes in Ghana. The data...
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