Andreas Rienow
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View article: Using a deep learning method to establish 500 m resolution non-saturation nighttime light time series from 1992 to 2022
Using a deep learning method to establish 500 m resolution non-saturation nighttime light time series from 1992 to 2022 Open
Nighttime light data has been widely used in socioeconomic research and in studies related to light pollution. The most commonly used nighttime light global datasets include the Defense Meteorological Satellite Program Operational Linescan…
View article: Species distribution models predict a future decline in urban avian biodiversity in response to changes in land use and climatic conditions
Species distribution models predict a future decline in urban avian biodiversity in response to changes in land use and climatic conditions Open
Anthropogenic climate change and urbanisation increasingly threaten biodiversity, necessitating effective strategies to mitigate habitat loss, particularly in urbanised regions such as the Ruhr Metropolis. Birds, as indicators of urban bio…
View article: Citizen science illuminates the nature of city lights
Citizen science illuminates the nature of city lights Open
The image of Earth at night from space, with its constellations of cities, has become iconic. However, our understanding of the source and scale of artificial light emissions is still in the dark, hampering urban environmental protection e…
View article: Evaluating Sustainable Development Goal 15 Across Various Scenarios Using an Integrated Multi‐Objective Programming and Patch‐Generating Land Use Simulation Framework in the Internationally Significant Wetland of Momoge
Evaluating Sustainable Development Goal 15 Across Various Scenarios Using an Integrated Multi‐Objective Programming and Patch‐Generating Land Use Simulation Framework in the Internationally Significant Wetland of Momoge Open
To support sustainable wetland management, this study simulated fine‐scale wetland patterns under four development scenarios for 2035, providing inputs for assessing ecological sustainability in the Momoge Nature Reserve, China. Specifical…
View article: Spatiotemporal Analysis of Land Use Change and Urban Heat Island Effects in Akure and Osogbo, Nigeria Between 2014 and 2023
Spatiotemporal Analysis of Land Use Change and Urban Heat Island Effects in Akure and Osogbo, Nigeria Between 2014 and 2023 Open
Rapid urbanization and climate impacts have raised concerns about the emergence and aggravation of urban heat island effects. In Africa, studies have focused more on big cities due to their growing populations and high climate impact, whil…
View article: Spatiotemporal Analysis of Land Use Change and Urban Heat Island Effects in Akure and Osogbo, Nigeria Between 2014 and 2023
Spatiotemporal Analysis of Land Use Change and Urban Heat Island Effects in Akure and Osogbo, Nigeria Between 2014 and 2023 Open
Rapid urbanization and climate impacts have raised concerns about the emergence and aggravation of urban heat island effects. In Africa, studies have focused more on big cities due to their growing populations and high socio-economic funct…
View article: Mapping Spatiotemporal Dynamic Changes in Urban CO2 Emissions in China by Using the Machine Learning Method and Geospatial Big Data
Mapping Spatiotemporal Dynamic Changes in Urban CO2 Emissions in China by Using the Machine Learning Method and Geospatial Big Data Open
Accurately and objectively evaluating the spatiotemporal dynamic changes in CO2 emissions is significant for human sustainable development. However, traditional CO2 emissions estimates, typically derived from national or provincial energy …
View article: Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning
Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning Open
Small reservoirs are increasingly common across Africa. They provide decentralised access to water and support farmer-led irrigation, in addition to contributing towards mitigating the impacts of climate change. Water quality monitoring is…
View article: Estimating Surface Urban Heat Island Effects of Abeokuta Within the Context of Its Economic Development Cluster in Ogun State Nigeria: A Baseline Study Utilising Remote Sensing and Cloud-Based Computing Technologies
Estimating Surface Urban Heat Island Effects of Abeokuta Within the Context of Its Economic Development Cluster in Ogun State Nigeria: A Baseline Study Utilising Remote Sensing and Cloud-Based Computing Technologies Open
The demands for growth and prosperity in developing countries have prompted Ogun State to initiate six economic development clusters oriented around its urban areas. However, little attention has been given to the environmental impact of t…
View article: The Effect of War on Spatial Differentiation of Real Estate Values and Urban Disorder in the Damascus Metropolitan Area
The Effect of War on Spatial Differentiation of Real Estate Values and Urban Disorder in the Damascus Metropolitan Area Open
The Syrian war, which commenced in 2011, transformed the Damascus real estate market due to heightened insecurity and tenure disputes. Using the hedonic price models, including 2411 housing transactions over the period 2010–2022, this stud…
View article: What’s in a Watt? Interpreting nightlights satellite data via citizen science observations
What’s in a Watt? Interpreting nightlights satellite data via citizen science observations Open
The image of Earth at Night from space has become iconic, but we are still in the dark when it comes to the question of to what extent different light source types contribute to city light emissions. Our team of citizen scientists used the…
View article: Enhancing Property Valuation in Post-War Recovery: Integrating War-Related Attributes into Real Estate Valuation Practices
Enhancing Property Valuation in Post-War Recovery: Integrating War-Related Attributes into Real Estate Valuation Practices Open
In post-war environments, property valuation encounters obstacles stemming from widespread destruction, population displacement, and complex legal frameworks. This study addresses post-war property valuation by integrating war-related cons…
View article: Synthesis and evaluation of seamless, large-scale, multispectral satellite images using Generative Adversarial Networks on land use and land cover and Sentinel-2 data
Synthesis and evaluation of seamless, large-scale, multispectral satellite images using Generative Adversarial Networks on land use and land cover and Sentinel-2 data Open
Artificial intelligence (AI) began to make its way into geoinformation science several decades ago and since then has constantly brought forth new cutting-edge approaches for diverse geographic use cases. AI and deep learning methods have …
View article: OER4SDI: Open Educational Resources for Spatial Data Infrastructures
OER4SDI: Open Educational Resources for Spatial Data Infrastructures Open
Education on spatial data infrastructures is an important building block of study programs focusing on spatial data. The focus is on equipping students with essential skills for future contributions to spatial data infrastructure developme…
View article: Forecasting urban futures: Evaluating global land use data sensitivity for regional growth simulation in the Ruhr Metropolitan Area
Forecasting urban futures: Evaluating global land use data sensitivity for regional growth simulation in the Ruhr Metropolitan Area Open
In recent years, numerous multitemporal global land use and land cover products have been published acting as valuable source for training spatially explicit geosimulation models forecasting urban growth. However, there is a notable gap in…
View article: Development of a Web-Based GIS of Flood Zones in the Municipality of Ouagadougou in Burkina Faso
Development of a Web-Based GIS of Flood Zones in the Municipality of Ouagadougou in Burkina Faso Open
This document describes the creation of an informative Web GIS aimed at mitigating the impacts of flooding in the municipality of Ouagadougou, in Burkina Faso, a region that is highly sensitive to climate change. Burkina Faso, which is und…
View article: Low-Cost Sensors and Multitemporal Remote Sensing for Operational Turbidity Monitoring in an East African Wetland Environment
Low-Cost Sensors and Multitemporal Remote Sensing for Operational Turbidity Monitoring in an East African Wetland Environment Open
Many wetlands in East Africa are farmed and wetland reservoirs are used for irrigation, livestock, and fishing. Water quality and agriculture have a mutual influence on each other. Turbidity is a principal indicator of water quality and ca…
View article: Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases
Using geospatial data to identify land grabbing. Detecting spatial reconfigurations during the implementation of the Nacala Development Corridor in Mozambique with remote sensing and land conflicts databases Open
The contemporary food system pushes agriculture to a globalized value-chain, affecting landscapes, resource access, and institutional arrangements. Institutions operating in Africa adopt development corridors to integrate multisector inves…
View article: Object-based mapping and classification features for tropical highlands using on Sentinel-1, Sentinel-2, and GEDI canopy height data - A case study of the Muringato catchment, Kenya
Object-based mapping and classification features for tropical highlands using on Sentinel-1, Sentinel-2, and GEDI canopy height data - A case study of the Muringato catchment, Kenya Open
Tropical highlands remain a challenging target for remote sensing due to their high heterogeneity of the landscape and frequent cloud cover, causing a shortage of high-quality and reliable comprehensive data on land use and land cover on a…
View article: Exploring the Use of Orthophotos in Google Earth Engine for Very High-Resolution Mapping of Impervious Surfaces: A Data Fusion Approach in Wuppertal, Germany
Exploring the Use of Orthophotos in Google Earth Engine for Very High-Resolution Mapping of Impervious Surfaces: A Data Fusion Approach in Wuppertal, Germany Open
Germany aims to reduce soil sealing to under 30 hectares per day by 2030 to address negative environmental impacts from the expansion of impervious surfaces. As cities adapt to climate change, spatially explicit very high-resolution inform…
View article: Automatization and evaluation of a remote sensing-based indicator for wetland health assessment in East Africa on national and local scales
Automatization and evaluation of a remote sensing-based indicator for wetland health assessment in East Africa on national and local scales Open
To avoid wetland degradation and promote sustainable wetlands use, decision-makers and managing institutions need quantified and spatially explicit information on wetland ecosystem condition for policy development and wetland management. R…
View article: Metropolitan Research
Metropolitan Research Open
Metropolitan research requires multidisciplinary perspectives in order to do justice to the complexities of metropolitan regions. This volume provides a scholarly and accessible overview of key methods and approaches in metropolitan resear…
View article: Developing and Evaluating Simplified Tools for Image Processing in a Problem-Based Learning Environment for Earth Observation
Developing and Evaluating Simplified Tools for Image Processing in a Problem-Based Learning Environment for Earth Observation Open
Earth observation is an interdisciplinary field of application. This makes it ideal for supporting natural science education in schools. Understanding satellite data can enable students to see more than just “beautiful images”. They can ga…