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Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth

World development, 2015-02, Vol.66, p.322-334

2015

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Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa

Drones (Basel), 2018-09, Vol.2 (3), p.28

2018

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The Use of Drones in the Spatial Social Sciences

Drones (Basel), 2021-12, Vol.5 (4), p.112

2021

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“The maize is the cost of the farming, and the cassava is our profit”: smallholders’ perceptions and attitudes to poor crop patches in the eastern region of Ghana

Agriculture & food security, 2022-12, Vol.11 (1), p.1-17, Article 14

2022

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A decade of maize yield gap studies in sub-Saharan Africa: how are farm-level factors considered?

International journal of agricultural sustainability, 2024, Vol.22 (1)

2024

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An Integrated Approach to Unravelling Smallholder Yield Levels: The Case of Small Family Farms, Eastern Region, Ghana

Agriculture (Basel), 2020-06, Vol.10 (6), p.206

2020

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How Data-Poor Countries Remain Data Poor: Underestimation of Human Settlements in Burkina Faso as Observed from Nighttime Light Data

ISPRS international journal of geo-information, 2019, Vol.8 (11), p.498

2019

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Classification of Maize in Complex Smallholder Farming Systems Using UAV Imagery

Drones (Basel), 2018-09, Vol.2 (3), p.22

2018

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Micro-Spatial Analysis of Maize Yield Gap Variability and Production Factors on Smallholder Farms

Agriculture (Basel), 2019-10, Vol.9 (10), p.219

2019

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A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications

Journal of international development, 2023-10, Vol.35 (7), p.1753-1768

2023

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A review of explainable AI in the satellite data, deep machine learning, and human poverty domain

Patterns (New York, N.Y.), 2022-10, Vol.3 (10), p.100600, Article 100600

2022

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The geography of connectivity: a review of mobile positioning data for economic geography

Journal of geographical systems, 2022-10, Vol.24 (4), p.679-707

2022

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Models for Non-Modelers: Understanding the Use of Models for Social Scientists and Others

1, 2024

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A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015

Population and environment, 2020-12, Vol.42 (2), p.255-277

2020

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Detecting dominant landscape objects through multiple scales: An integration of object-specific methods and watershed segmentation

Landscape ecology, 2004, Vol.19 (1), p.59-76

2004

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Nighttime lights and population changes in Europe 1992–2012

Ambio, 2015-11, Vol.44 (7), p.653-665

2015

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Using Satellite Data on Nighttime Lights Intensity to Estimate Contemporary Human Migration Distances

Annals of the American Association of Geographers, 2017-05, Vol.107 (3), p.591-605

2017

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Data Descriptor : High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100

Scientific data, 2017-01, Vol.4

2017

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Population centroids of the world administrative units from nighttime lights 1992-2013

Scientific data, 2019-10, Vol.6 (1), p.235, Article 235

2019

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Sustainable Agricultural Intensification in Four Tanzanian Villages—A View from the Ground and the Sky

Sustainability, 2020-10, Vol.12 (20), p.8304

2020

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Remote Sensing in Social Science Research~!2009-12-28~!2010-03-26~!2010-06-25

The open remote sensing journal, 2010-07, Vol.3 (1), p.1-16

Hall, Ola

2010

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Assessing Recovery from the 2004 I ndian O cean T sunami: An Application of Night‐time Light Data and Vegetation Index

Geographical research, 2015-11, Vol.53 (4), p.436-450

2015

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Remote Sensing in Social Science Research

The open remote sensing journal, 2010-01, Vol.3, p.1-16

Hall, Ola

2010

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Using panel survey and remote sensing data to explain yield gaps for maize in sub-Saharan Africa

Journal of land use science, 2018-05, Vol.13 (3), p.344-357

2018

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Assessing Recovery from the 2004 Indian Ocean Tsunami: An Application of Night-time Light Data and Vegetation Index

Geographical research, 2015-11, Vol.53 (4), p.436-450

2015

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Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth

Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa

The Use of Drones in the Spatial Social Sciences

“The maize is the cost of the farming, and the cassava is our profit”: smallholders’ perceptions and attitudes to poor crop patches in the eastern region of Ghana

A decade of maize yield gap studies in sub-Saharan Africa: how are farm-level factors considered?

An Integrated Approach to Unravelling Smallholder Yield Levels: The Case of Small Family Farms, Eastern Region, Ghana

How Data-Poor Countries Remain Data Poor: Underestimation of Human Settlements in Burkina Faso as Observed from Nighttime Light Data

Classification of Maize in Complex Smallholder Farming Systems Using UAV Imagery

Micro-Spatial Analysis of Maize Yield Gap Variability and Production Factors on Smallholder Farms

A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications

A review of explainable AI in the satellite data, deep machine learning, and human poverty domain

The geography of connectivity: a review of mobile positioning data for economic geography

Models for Non-Modelers: Understanding the Use of Models for Social Scientists and Others

A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015

Detecting dominant landscape objects through multiple scales: An integration of object-specific methods and watershed segmentation

Nighttime lights and population changes in Europe 1992–2012

Using Satellite Data on Nighttime Lights Intensity to Estimate Contemporary Human Migration Distances

Data Descriptor : High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100

Population centroids of the world administrative units from nighttime lights 1992-2013

Sustainable Agricultural Intensification in Four Tanzanian Villages—A View from the Ground and the Sky

Remote Sensing in Social Science Research~!2009-12-28~!2010-03-26~!2010-06-25

Assessing Recovery from the 2004 I ndian O cean T sunami: An Application of Night‐time Light Data and Vegetation Index

Remote Sensing in Social Science Research

Using panel survey and remote sensing data to explain yield gaps for maize in sub-Saharan Africa

Assessing Recovery from the 2004 Indian Ocean Tsunami: An Application of Night-time Light Data and Vegetation Index

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