To determine the influences of varied environmental settings on air temperatures, distributed temperature sensing (DTS) fiber optic cables were installed in both a rural and urban campaign in the Netherlands. For the first campaign, measurements were collected during the 2025 heatwave, for the 11th until the 21st of August 2025 from the agricultural site, Wenumseveld, near Apeldoorn. The second site was in an urban setting at The Green Village in Delft, for which measurements were collected from the 23rd of April until the 4th of May 2026. For both measurement campaigns a range of reference weather stations served as a comparison. Temperature time series were calculated from the calibrated fiber optic cable data, from which calculations of the intensity of turbulence could be conducted. The intensity of turbulence was measured with the Temporal and Spatial Definition Method of the temperature structure parameter, the 𝐶T2 value. A comparison analysis is implemented, in which the temperatures and 𝐶T2 values of reference weather stations are evaluated. A land cover analysis is based on the length along the cable and the wind direction. A key outcome at Wenumseveld is that the 2.7m high cable located adjacent to dry grass consistently observed the highest air temperatures. Compared to a reference cup anemometer the air temperatures are underestimated. The highest turbulence intensity, 𝐶𝑇2 values, are found in drier fields with shorter vegetation length. Specifically, for a separation distance of 2m, the open grass field showcased the highest 𝐶𝑇2 values, and for a separation distance of 6m the dry grass field had the highest CT2 values. The 𝐶𝑇2 values of the DTS cables correlate poorly with 𝐶𝑇2 values from a reference Eddy Covariance station due to the physical distance between the two. At The Green Village the highest daytime and lowest nighttime air temperatures were observed at the lowest measurement height of 0.2m. Compared to a reference sonic anemometer, the fiber optic cable overestimated the temperatures up to 3.5ºC. When calculating the 𝐶𝑇 2 values through the Temporal Definition Method the 0.2m and 0.7m heights showed the largest 𝐶𝑇 2 values, which is hypothesized to be caused by buoyant uprising thermals. With wind from the North, the pavement land cover observed higher 𝐶𝑇 2 values of 0.05 compared to the grass. For Southerly winds, there is a slight difference between the land covers, with the grass observing higher turbulence intensities, which could be caused by the increased complexity of surrounding trees and pavement South of the set-up. The Spatial Definition Method could not be successfully applied to the urban setting due to the combination of a small measurement set-up and coarser measurement resolution. To enhance the outcomes of this thesis, it is recommended to further measure the spatial variability, but then with a set-up over more heights, and for both environments with the same measurement technology: either both single- or both double-ended. The outcomes of this thesis can serve as a database and understanding of how to make urban and agricultural areas more climate adaptive. ... Read more