The global climate has observed unprecedented changes in recent decades. The global mean surface temperature is rapidly rising, the Arctic sea ice cover is swiftly vanishing, and catastrophic climatic and environmental events are becoming more common. Extreme climate and environmental changes, in terms of abnormality in precipitation and weather conditions, significantly influence society, the economy, and people's lives and health. As a result, it is critical to comprehend why the global climate and environment are changing and the essential physical processes behind these changes. Another important topic is how recent worldwide climate and environmental changes are attributable to urbanization and anthropogenic influences rather than internal climate variability. At many spatio-temporal scales, various satellite remote sensing data sets may be precious for monitoring the states and processes of urbanization and climate change. As a result, earth observation technologies are critical for assessing, mapping and improving our knowledge of global climatic and environmental changes, as well as their consequences for improving balanced development.
This Topic seeks to provide a comprehensive framework for addressing the significant environmental concerns posed by urbanization and climate change, to help meet the United Nations' Sustainable Development Goals. This collection welcomes contributions from studies intended to comprehend climate change and urban environmental changes at various spatio-temporal scales using satellite remote sensing data, night time satellite data and drone technology through the development and implementation of systems, ideas, pathways, solutions, strategies, technologies, pilot cases, and exemplars etc.
We invite submissions that:
• Demonstrate the potential and actual application of earth observation data derived from various platforms (including ground-based, airborne, and satellite) and sensors (including active/passive, optical, LiDAR, RADAR, thermal, microwave, drone mapping and so on).
• Incorporate various methodologies (analytical modeling, empirical relationships, machine learning regression, and radiative transfer models) in various aspects like biodiversity and ecosystem services, climate, coasts, urbanization, land use and land cover, oceans, urban areas, and water resources etc.
The global climate has observed unprecedented changes in recent decades. The global mean surface temperature is rapidly rising, the Arctic sea ice cover is swiftly vanishing, and catastrophic climatic and environmental events are becoming more common. Extreme climate and environmental changes, in terms of abnormality in precipitation and weather conditions, significantly influence society, the economy, and people's lives and health. As a result, it is critical to comprehend why the global climate and environment are changing and the essential physical processes behind these changes. Another important topic is how recent worldwide climate and environmental changes are attributable to urbanization and anthropogenic influences rather than internal climate variability. At many spatio-temporal scales, various satellite remote sensing data sets may be precious for monitoring the states and processes of urbanization and climate change. As a result, earth observation technologies are critical for assessing, mapping and improving our knowledge of global climatic and environmental changes, as well as their consequences for improving balanced development.
This Topic seeks to provide a comprehensive framework for addressing the significant environmental concerns posed by urbanization and climate change, to help meet the United Nations' Sustainable Development Goals. This collection welcomes contributions from studies intended to comprehend climate change and urban environmental changes at various spatio-temporal scales using satellite remote sensing data, night time satellite data and drone technology through the development and implementation of systems, ideas, pathways, solutions, strategies, technologies, pilot cases, and exemplars etc.
We invite submissions that:
• Demonstrate the potential and actual application of earth observation data derived from various platforms (including ground-based, airborne, and satellite) and sensors (including active/passive, optical, LiDAR, RADAR, thermal, microwave, drone mapping and so on).
• Incorporate various methodologies (analytical modeling, empirical relationships, machine learning regression, and radiative transfer models) in various aspects like biodiversity and ecosystem services, climate, coasts, urbanization, land use and land cover, oceans, urban areas, and water resources etc.
