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A Spectral Unmixing Model for the Integration of Multi-Sensor Imagery: A Tool to Generate Consistent Time Series Data., , , , and . Remote Sensing, 7 (10): 14000-14018 (2015)Assessing Urban canopies 3D radiative and Energy Budgets with remote sensing and DART model., , , , , , , , and . JURSE, page 1-4. IEEE, (2017)Landsat 8 vs. Landsat 5: A comparison based on urban and peri-urban land cover mapping., , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Exploiting Copernicus Core Services for Assessing the Surface Urban Heat Island Intensity., , , , , and . JURSE, page 1-4. IEEE, (2023)Urban Surface Temperature Time Series Estimation at the Local Scale by Spatial-Spectral Unmixing of Satellite Observations., , , , and . Remote Sensing, 7 (4): 4139-4156 (2015)Monitoring and Evaluating Nature-Based Solutions Implementation in Urban Areas by Means of Earth Observation., , , , , and . Remote. Sens., 13 (8): 1503 (2021)Towards discriminating between zones with different thermal behaviour in cities., , , , , , , and . JURSE, page 1-4. IEEE, (2017)Non-linear spectral mixture analysis of Landsat imagery by means of neural networks., and . IGARSS, page 1765-1768. IEEE, (2015)Mapping the urban surface in a sub-pixel level with multispectral high resolution satellite imagery., , and . IGARSS, page 7014-7017. IEEE, (2016)Exploiting Earth Observation data products for mapping Local Climate Zones., , , and . JURSE, page 1-4. IEEE, (2015)