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Ola Hall
Ola Hall
在 keg.lu.se 的电子邮件经过验证
标题
引用次数
引用次数
年份
Monitoring economic development from space: using nighttime light and land cover data to measure economic growth
S Keola, M Andersson, O Hall
World Development 66, 322-334, 2015
3482015
A multiscale object-specific approach to digital change detection
O Hall, GJ Hay
International journal of applied earth observation and geoinformation 4 (4 …, 2003
2242003
Remote Sensing of Yields: Application of UAV Imagery-Derived NDVI for Estimating Maize Vigor and Yields in Complex Farming Systems in Sub-Saharan Africa
I Wahab, O Hall, M Jirström
Drones 2 (3), 2018
1242018
Detecting dominant landscape objects through multiple scales: An integration of object-specific methods and watershed segmentation
O Hall, GJ Hay, A Bouchard, DJ Marceau
Landscape Ecology 19, 59-76, 2004
1122004
Characterization and quantification of data voids in the shuttle radar topography mission data
O Hall, G Falorni, RL Bras
IEEE Geoscience and Remote Sensing Letters 2 (2), 177-181, 2005
672005
Classification of maize in complex smallholder farming systems using UAV imagery
O Hall, S Dahlin, H Marstorp, MF Archila Bustos, I Öborn, M Jirström
Drones 2 (3), 22, 2018
602018
A method for landscape regionalization based on fuzzy membership signatures
O Hall, W Arnberg
Landscape and Urban Planning 59 (4), 227-240, 2002
582002
Remote sensing in social science research
O Hall
The open remote sensing journal 3 (1), 2010
572010
High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100
N Boke-Olén, AM Abdi, O Hall, V Lehsten
Scientific data 4 (1), 1-9, 2017
492017
A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015
MF Archila Bustos, O Hall, T Niedomysl, U Ernstson
Population and environment 42, 255-277, 2020
472020
Nighttime lights and population changes in Europe 1992–2012
MF Archila Bustos, O Hall, M Andersson
Ambio 44, 653-665, 2015
472015
Saving the woodpeckers: Social capital, governance, and policy performance
A Duit, O Hall, G Mikusinski, P Angelstam
The Journal of Environment & Development 18 (1), 42-61, 2009
322009
Introduktion till kartografi och geografisk information
O Hall, G Alm, S Ene, U Jansson
Studentlitteratur AB, 2003
272003
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
O Hall, M Ohlsson, T Rögnvaldsson
Patterns 3 (10), 2022
262022
Population centroids of the world administrative units from nighttime lights 1992-2013
O Hall, MFA Bustos, NB Olén, T Niedomysl
Scientific Data 6 (1), 235, 2019
242019
World poverty, environmental vulnerability and population at risk for natural hazards
O Hall, A Duit, LNC Caballero
Journal of Maps 4 (1), 151-160, 2008
232008
The use of drones in the spatial social sciences
O Hall, I Wahab
Drones 5 (4), 112, 2021
222021
A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications
O Hall, F Dompae, I Wahab, FM Dzanku
Journal of International Development 35 (7), 1753-1768, 2023
182023
How data-poor countries remain data poor: Underestimation of human settlements in Burkina Faso as observed from nighttime light data
M Andersson, O Hall, MF Archila
ISPRS International Journal of Geo-Information 8 (11), 498, 2019
162019
Using panel survey and remote sensing data to explain yield gaps for maize in sub-Saharan Africa
AU data to explain yield gaps for maize in sub-Saharan Africa Göran Djurfeldt
Journal of Land Use Science, 2018
162018
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