The 30m resolution may not be sufficient to study the microclimate in a city, especially if you want to assess outdoor thermal comfort. While 30m resolution can provide a general idea of the land cover and land use patterns in the city, it may not capture the fine-scale variability in temperature, humidity, and other environmental factors that affect outdoor thermal comfort.
To study outdoor thermal comfort, it's recommended to use higher resolution satellite imagery, such as 1-5m resolution, or even aerial photography if available. This higher resolution imagery can provide more detailed information on the urban fabric, such as the distribution of buildings, trees, water bodies, and other features that influence the microclimate.
In addition to high-resolution imagery, it's also important to collect ground-based data on temperature, humidity, wind speed, and other environmental variables using sensors or mobile surveys. This data can be used to validate the satellite imagery and provide a more accurate assessment of outdoor thermal comfort in the city.
Overall, while 30m resolution imagery can provide some insights into the urban environment, it may not be sufficient for a detailed study of outdoor thermal comfort in a city.
A 30-meter resolution may not be sufficient to study the microclimate in a city of 26 square kilometers. A higher resolution would be more suitable for analyzing the urban microclimate, especially for thermal comfort analysis. A higher resolution would allow for a more detailed analysis of small-scale temperature variations within the city, which can be important for understanding how urban features such as buildings, green spaces, and water bodies influence the local climate.
A spatial resolution of 10 meters or less would be more appropriate for studying the microclimate in an urban area. This would provide sufficient detail to analyze the thermal comfort conditions at a neighborhood or street scale. However, the required resolution may also depend on the specific research objectives and available resources. It is important to consider the trade-offs between the level of detail and the data acquisition and processing costs.
Define 'micro-climate'. Especially the operative term 'climate' as opposed to 'weather', which have very different temporal framing. And is the spatial resolution of the data as significant as the temporal sampling during the daily cycle, since you refer to personal 'comfort'.
Even at what seems to be a very coarse spatial resolution, the urban forms of traditional desert urban centers ( https://whc.unesco.org/en/list/192/ ) will show a markedly different thermal latency than the surrounding terrain, and in some cases, more modern development surrounding the heritage areas. https://www.mdpi.com/journal/remotesensing/special_issues/tirurbcli