Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities
The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …
promises significant advances to support the Sustainable Development Goals (SDGs). New …
Object detection and image segmentation with deep learning on Earth observation data: A review—Part II: Applications
In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …
investigating aggregated classes. The increase in data with a very high spatial resolution …
[HTML][HTML] Continental-scale mapping and analysis of 3D building structure
Urban land use is often characterized based on the presence of built-up land, while the land
use intensity of different locations is ignored. This narrow focus is at least partially due to a …
use intensity of different locations is ignored. This narrow focus is at least partially due to a …
[HTML][HTML] EO+ Morphometrics: Understanding cities through urban morphology at large scale
Earth Observation (EO)-based mapping of cities has great potential to detect patterns
beyond the physical ones. However, EO combined with the surge of machine learning …
beyond the physical ones. However, EO combined with the surge of machine learning …
[HTML][HTML] “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A …
A Abascal, N Rothwell, A Shonowo… - … , environment and urban …, 2022 - Elsevier
The majority of urban inhabitants in low-and middle-income country (LMIC) cities live in
deprived urban areas. However, policy efforts and the monitoring of global goals and …
deprived urban areas. However, policy efforts and the monitoring of global goals and …
A building height dataset across China in 2017 estimated by the spatially-informed approach
As a fundamental aspect of the urban form, building height is a key attribute for reflecting
human activities and human-environment interactions in the urban context. However, openly …
human activities and human-environment interactions in the urban context. However, openly …
[HTML][HTML] Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas
Many cities in low-and medium-income countries (LMICs) are facing rapid unplanned
growth of built-up areas, while detailed information on these deprived urban areas (DUAs) is …
growth of built-up areas, while detailed information on these deprived urban areas (DUAs) is …
The temporal dynamics of slums employing a CNN-based change detection approach
R Liu, M Kuffer, C Persello - Remote sensing, 2019 - mdpi.com
Along with rapid urbanization, the growth and persistence of slums is a global challenge.
While remote sensing imagery is increasingly used for producing slum maps, only a few …
While remote sensing imagery is increasingly used for producing slum maps, only a few …
[HTML][HTML] Towards user-driven earth observation-based slum mapping
Earth observation (EO) capabilities to produce up-to-date geographical information on slums
over large areas supporting urban planning and evidence-based policymaking are largely …
over large areas supporting urban planning and evidence-based policymaking are largely …
The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries
Urbanization in the global South has been accompanied by the proliferation of vast informal
and marginalized urban areas that lack access to essential services and infrastructure. UN …
and marginalized urban areas that lack access to essential services and infrastructure. UN …