Remote Sensing for Germany #1

In a recent #DLR press release (https://www.dlr.de/de/aktuelles/nachrichten/2025/dlr-zeigt-hohe-hitzebelastung-in-deutschen-grossstaedten), our remote sensing (RS) works on heat exposure in German cities have been shown.

The view from satellites, air planes and drones allows to map spatial patterns and their changes on the land surface and the atmosphere. Beyond urban heat, our team has shed light on a variety of thematic aspects, with some research works having a special focus on Germany.

Here is a selection of studies on environmental issues:

Urban heat:

• Citizen Science & RS for modeling indoor/outdoor temperatures https://www.sciencedirect.com/science/article/pii/S2212095523001165  
• Opposing land surface and air temperatures from RS and Citizen Science for quantification of the Urban Heat Island https://ieeexplore.ieee.org/document/10144135  
• The relation of Land Surface Temperature and trees https://ieeexplore.ieee.org/document/11076043  

Urban green:

• Which city is the greenest? https://www.sciencedirect.com/science/article/pii/S0198971521000946  
• Are public green spaces distributed fairly? https://www.tandfonline.com/doi/full/10.1080/10106049.2023.2286305   
• Estimating ecosystem services of urban trees https://ieeexplore.ieee.org/abstract/document/11076068  
• The potential for roof greening https://www.sciencedirect.com/science/article/pii/S0264275125000824
• Urban Trees: Detection and characterization based on VHR RS data https://repository.corp.at/829/  
• How much urban green do Bavarian cities need to cool by 1 degree? https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/7/2025/  
• Urban Trees for changing climates https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/267/2025/

Air quality:

• Tropospheric NO2: Spatial variability and impact factors https://www.sciencedirect.com/science/article/abs/pii/S0034425721005599  
• The influence of commuting on population exposure to air pollution https://ieeexplore.ieee.org/document/10579815  

Land consumption:

• How we live and what that means https://ieeexplore.ieee.org/document/9553084  

Noise:

• Predicting traffic noise using land use regression https://www.nature.com/articles/s41370-021-00355-z
• Technical variations in road traffic noise exposure maps https://www.sciencedirect.com/science/article/pii/S0301479725014513  
• Identifying in-Situ measurement sites for urban acoustic environments https://pubmed.ncbi.nlm.nih.gov/40494236/  

Urban water infrastructure:

• Modeling urban water infrastructures https://www.mdpi.com/2073-4441/13/16/2299  

Animal behavior

• Small-scale vegetation dynamics influence fine-scale animal behavior https://zslpublications.onlinelibrary.wiley.com/doi/full/10.1002/rse2.251  

In future posts, we will give an overview on research works on socio-economy, health, risk, statistical issues and the structure of cities.