The spatial structure of urban areas plays a major role in the daily life dwellers. current policy framework to ensure quality inhabitants leaving no one behind, leads decision-makers seek better-informed choices for sustainable planning areas. Thus, better understanding between cities and their socio-economic level is crucial relevance. Accordingly, purpose this paper quantify two-way relationship. Therefore, we measured patterns 31 North Rhine-Westphalia, Germany. We rely on pattern...

High-resolution population mapping is of high relevance for developing and implementing tailored actions in several fields: From decision making crisis management to urban planning. Earth Observation has considerably contributed the development methods disaggregating figures with higher resolution data into fine-grained maps. However, which method most suitable on basis available data, how spatial units accuracy metrics affect validation process not fully known. We aim provide...

Mapping forest structure variables provides important information for the estimation of biomass, carbon stocks, pasture suitability or wildfire risk prevention and control. The optimization prediction models these requires an adequate stratification landscape in order to create specific each structural type strata. This paper aims propose validate use object-oriented classification methodology based on low-density LiDAR data (0.5 m−2) available at national level, WorldView-2 Sentinel-2...

Accessibility to public transport is a fundamental component of connecting individuals urban services. Guided by the UN Habitat Sustainable Development Goal 11.2, which aims ensure accessible, safe, affordable, and sustainable systems for all, our study focuses specifically on accessibility as key dimension achieving this goal its implications social spatial equity. In study, we employ walking distance indicator proposed responsible working group calculate transport. Because underlying...

<title>Abstract</title> Flood risk in West Africa, particularly Nigeria, has significantly increased over the past five decades due to changing hydrological conditions, insufficient mitigation measures, and limited adaptation efforts. This study addresses need for accurate high-resolution data support effective disaster management. Leveraging open-access remote sensing geospatial data, we trained machine learning models produce 30-meter resolution flood susceptibility maps Nigeria. We...

The spatial pattern of urban growth determines how the physical, socio-economic and environmental characteristics areas change over time. Monitoring for early identification patterns facilitates assuring their sustainable growth. In this paper, we assess use spatio-temporal metrics from land-use/land-cover (LULC) maps to identify patterns. We applied LULC models simulate different scenarios (i.e., expansion, compact, dispersed, road-based leapfrog) on various baseline forms monocentric,...

Abstract. The monitoring and modelling of the evolution urban areas is increasingly attracting attention land managers administration. New data, tools methods are being developed made available for a better understanding these dynamic areas. We study analyse concept landscape fragmentation by means GIS remote sensing techniques, particularly focused on Using LULC data obtained from European Urban Atlas dataset local component Copernicus Land Monitoring Services (scale 1:10,000), province...

Abstract. Landslides are socio-natural hazards. In Colombia, for example, these the most frequent The interplay of climate change and mostly informal growth cities in landslide-prone areas increases associated risks. Landslide early warning systems (LEWSs) essential disaster risk reduction, but monitoring component is often based on expensive sensor systems. This study presents a data-driven approach to localize suitable low-cost easy-to-use LEWS instrumentation, as well estimate costs....

Abstract Landslides are often deadly natural events. Steep slopes and certain loose soil types predestined areas for them. Moreover, in the context of climate change, extreme weather events such as heavy rainfall, which trigger landslides, becoming even more likely. While all this is well known, it, therefore, stands to reason that knowledge will lead avoidance these risks. On other hand, however, there highly dynamic urbanization processes overtake formal urban planning by rising population...

Abstract. The global number of vulnerable citizens in areas landslide risk is expected to increase due the twin forces climate change and growing urbanization. Self-constructed or informal settlements are frequently built hazardous terrain such as on landslide-prone slopes. They characterized by high dynamics growth, simple construction methods strong social exposed unsteady political approaches. Landslide early warning systems (LEWSs) can contribute decreasing their vulnerability, but...

Manifold socio-economic processes shape the built and natural elements in urban areas. They thus influence both living environment of dwellers sustainability many dimensions. Monitoring development fabric its relationships with environmental will help to elucidate their linkages and, thus, aid new strategies for more sustainable development. In this study, we identified empirical significant between income, inequality, GDP, air pollution employment indicators change over time spatial...

Abstract Landslides are often deadly natural events. Steep slopes and certain loose soil types predestined areas for them. Moreover, in the context of climate change, extreme weather events such as heavy rainfall, which trigger landslides, becoming even more likely. All this is well known. It therefore stands to reason that knowledge will lead avoidance these risks. On other hand, however, there highly dynamic urbanization processes overtake formal urban planning by rising population figures...

Abstract. Landslides are socio-natural hazards. In Colombia, for example, these the most frequent The interplay of climate change and mostly informal growth cities in high-hazard areas increases associated risks. Early warning systems (EWSs) essential disaster risk reduction, but monitoring component is often based on expensive sensor systems. This study aims to develop a cost-effective method low-cost easy-to-use EWS instrumentalization landslide-prone identified data-driven methods. We...

Abstract Geolocated social media data hold a hitherto untapped potential for exploring the relationship between user mobility and their interests at large scale. Using geolocated Twitter from Nigeria, we provide feasibility study that demonstrates how linkage of (1) trajectory analysis users' geolocation (2) natural language processing text content can reveal information about migrants. After identifying migrants via analysis, train model to automatically detect topics migrants' tweets....

Analysing urban regions is essential for their correct monitoring and planning. This mainly accounted the sharp increase of people living in areas, consequently, need to manage them. At same time there has been a rise use spatial statistical datasets, such as Urban Atlas, which offers high-resolution land maps obtained from satellite imagery, Audit, provides statistics European cities surroundings. In this study, we analyse relations between fragmentation metrics derived Land Use Cover...

In the past decade, number of refugees and internally displaced people (IDP) has doubled. This prompted construction more refugee camps proliferation existing with diverse structural morphologies. Satellite imagery machine learning (ML) are increasingly utilized to map these camps. However, there exists no standardized inventory that systemizes built-up structures this study, we conceptualize settlement morphology IDP from satellite images create a structure catalogue. Using visual image...

Abstract. The global number of vulnerable citizens in areas landslide risk is expected to increase due the twin forces climate change and growing urbanization. Self-constructed or informal settlements are, shortage urban land, frequently built hazardous terrain such as landslide-prone slopes. They are characterized by high dynamics growth, simple construction methods, strong social dynamics, exposed unsteady political approaches. Landslide Early Warning Systems (LEWS) can contribute decrease...

Abstract. Analysing urban regions is essential for their correct monitoring and planning. This mainly accounted the sharp increase of people living in areas, consequently, need to manage them. At same time there has been a rise use spatial statistical datasets, such as Urban Atlas, which offers high-resolution land maps obtained from satellite imagery, Audit, provides statistics European cities surroundings. In this study, we analyse relations between fragmentation metrics derived Land Use...

Large areas of informal settlements on the slopes Medellín are exposed to landslide risk, but there exists no accurate and up-to date data set location size areas. It is thus difficult develop mitigation strategies reduce risk for local population. Here, we tackle issue inaccurate geodata apply a CNN extraction individual building footprints from orthophotos. With it achieve more reliable base precise estimation amount population in towards landslides.

Cities in West Africa have been growing rapidly due to natural population growth and rural-urban migration. This dynamic process has several impacts, yet temporarily spatially detailed information is often unavailable. Multi-sensor satellite data allow monitoring physical aspects of migration processes. In this paper, we integrate cost-free from different sources resolutions analyze patterns urban development cities Burkina Faso, Ghana, Nigeria between 2012 2021. We show economic the studied...

Urban areas in Africa have experienced unprecedented growth. Rapid population increase and settlement expansion brings immense challenges. Existing mapping products struggle to capture the dynamic nature of these urban environments. Thus, development site-specific maps that are both current accurate demand. This study introduces a practical cloud-based solution form an online tool for mapping, leveraging capabilities Google Earth Engine. Sentinel-1 Sentinel-2 imagery employed derive diverse...

The growing number of people living in urban areas implies the need for more sustainable landscape management. analysis and monitorization allows quantification characterization sprawl processes. Currently, new geospatial statistical databases are being developed Europe (Urban Atlas Urban Audit) with up-to-date homogeneous information on areas, easing its comparison monitorization, as well development tools computing fragmentation metrics by means these data, such IndiFrag. In this work,...

Table S1.Socio-demographic and topographic factors cost estimation for suitable sites the installation of landslide EWS.Total area site in hectares (Area), total population (Pop.), density as people per hectare (Pop/ha), vulnerable (Vul.Pop.), built-up building ha (BU dens.), road (road den), mean slope degrees (Slope), aspect main orientation (Asp.), susceptibility (Susc.),sensor number sensors (Sensor sensors, infrastructure subsurface (Total sens., Infr.Sens Subs.Sens) site, gateways,...