Big data for remote sensing: Challenges and opportunities
Every day a large number of Earth observation (EO) spaceborne and airborne sensors from
many different countries provide a massive amount of remotely sensed data. Those data are …
many different countries provide a massive amount of remotely sensed data. Those data are …
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
Recent advances in artificial intelligence and deep machine learning have created a step
change in how to measure human development indicators, in particular asset-based …
change in how to measure human development indicators, in particular asset-based …
Monitoring economic development from space: using nighttime light and land cover data to measure economic growth
This study demonstrates estimations of economic activities on global, national, and
subnational levels using remote sensing data, with a focus on developing economies. It …
subnational levels using remote sensing data, with a focus on developing economies. It …
[图书][B] Mining in Africa: are local communities better off?
P Chuhan-Pole, AL Dabalen, BC Land - 2017 - books.google.com
This study focuses on the local and regional impact of large-scale gold mining in Africa in
the context of a mineral boom in the region since 2000. It contributes to filling a gap in the …
the context of a mineral boom in the region since 2000. It contributes to filling a gap in the …
Empiric recommendations for population disaggregation under different data scenarios
High-resolution population mapping is of high relevance for developing and implementing
tailored actions in several fields: From decision making in crisis management to urban …
tailored actions in several fields: From decision making in crisis management to urban …
Implications of land use change for the sustainability of urban areas: A case study of Stellenbosch, South Africa
W Musakwa, A Van Niekerk - Cities, 2013 - Elsevier
Sustainable development, an objective of urban planning, is difficult to put into practice. Data
to monitor sustainable land use management is often lacking, particularly in developing …
to monitor sustainable land use management is often lacking, particularly in developing …
VIIRS nighttime light data for income estimation at local level
The aim of the paper is to develop a model for the real-time estimation of local level income
data by combining machine learning, Earth Observation, and Geographic Information …
data by combining machine learning, Earth Observation, and Geographic Information …
Determination of the nighttime light imagery for urban city population using DMSP-OLS methods in Istanbul
Demography researchers and scientists have been effectively utilizing advanced
technologies and methods such as geographical information systems, spatial statistics …
technologies and methods such as geographical information systems, spatial statistics …
Determining the relationship between census data and spatial features derived from high-resolution imagery in Accra, Ghana
A Sandborn, RN Engstrom - IEEE Journal of Selected Topics in …, 2016 - ieeexplore.ieee.org
Remotely sensed-based estimates of dwelling and population characteristics can provide
timely and spatially explicit information for urban planning and development in emerging …
timely and spatially explicit information for urban planning and development in emerging …
Malaria risk assessment and mapping using satellite imagery and boosted regression trees in the Peruvian Amazon
This is the first study to assess the risk of co-endemic Plasmodium vivax and Plasmodium
falciparum transmission in the Peruvian Amazon using boosted regression tree (BRT) …
falciparum transmission in the Peruvian Amazon using boosted regression tree (BRT) …