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- 2023
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Mark
A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications
(
- Contribution to journal › Scientific review
-
Mark
How AI ‘sees’ the world – what happened when we trained a deep learning model to identify poverty
2023) In The Conversation(
- Contribution to specialist publication or newspaper › Specialist publication article
- 2021
-
Mark
The use of drones in the spatial social sciences
(
- Contribution to journal › Article
- 2020
-
Mark
An integrated approach to unravelling smallholder yield levels : The case of small family farms, eastern region, Ghana
(
- Contribution to journal › Article
-
Mark
A pixel level evaluation of five multitemporal global gridded population datasets : a case study in Sweden, 1990–2015
(
- Contribution to journal › Scientific review
- 2019
-
Mark
Population centroids of the world administrative units from nighttime lights 1992-2013
(
- Contribution to journal › Article
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Mark
Micro-Spatial Analysis of Maize Yield Gap Variability and Production Factors
(
- Contribution to journal › Article
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Mark
How Data-Poor Countries Remain Data Poor: Underestimation of Human Settlements in Burkina Faso as Observed from Nighttime Light Data
(
- Contribution to journal › Article
- 2018
-
Mark
Remote sensing of yields : Application of UAV imagery-derived ndvi for estimating maize vigor and yields in complex farming systems in Sub-Saharan Africa
(
- Contribution to journal › Article
-
Mark
Using panel survey and remote sensing data to explain yield gaps for maize in sub-Saharan Africa
(
- Contribution to journal › Article