Open Access
Issue |
E3S Web Conf.
Volume 626, 2025
International Conference on Energy, Infrastructure and Environmental Research (EIER 2025)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 7 | |
Section | GIS and Remote Sensing in Environmental Research | |
DOI | https://doi.org/10.1051/e3sconf/202562601002 | |
Published online | 15 April 2025 |
- Pu R., Bonafoni S., Reducing scaling effect on downscaled land surface temperature maps in heterogeneous urban environments. Remote Sens., 13, 5044 (2021) [CrossRef] [Google Scholar]
- Pour T., Miřijovský J., Purket T., Airborne thermal remote sensing: The case of the city of Olomouc, Czech RepuBandlic. Eur. J. Remote Sens., 52, 209–218 (2019) [CrossRef] [Google Scholar]
- Lillo M., García-Pedrero A., Merino G., Gonzalo-Martin C., TS2uRF : A new method for sharpening thermal infrared satellite imagery. Remote Sens., 10, 249 (2018) [CrossRef] [Google Scholar]
- Inamdar A.K., French A., Disaggregation of GOES land surface temperatures using surface emissivity. Geophys. Res. Lett., 36, L02408 (2009) [CrossRef] [Google Scholar]
- Peng J., Loew A., Merlin O., Verhoest N., A review of spatial downscaling of satellite remotely sensed soil moisture. Rev. Geophys., 55, 341–366 (2017) [CrossRef] [Google Scholar]
- Sánchez J M., Galve J. M., Nieto H., and Guzinski R., Assessment of High-Resolution LST Derived From the Synergy of Sentinel-2 and Sentinel-3 in Agricultural Areas. IEEE J. Sel. Top.Appl. Earth Obs., 17, 916–928 (2023) [Google Scholar]
- Onačillová K., Gallay M., Paluba D., Péliová A., Tokarčík O., Laubertová D., Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment. Remote Sens., 14, 4076 (2022) [CrossRef] [Google Scholar]
- Kustas W.P., Norman J.M., Anderson M.C., French A.N., Estimating subpixel surface temperatures and energy fluxes from the vegetation index–radiometric temperature relationship. Remote Sens. Environ., 85, 429–440 (2003) [CrossRef] [Google Scholar]
- Bonafoni S., Downscaling of Landsat and MODIS land surface temperature over the heterogeneous urban area of Milan. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 9 (2019) [Google Scholar]
- Anderson M C., Norman J M., Mecikalski J.R., Torn R D., Kustas W P., Basara J B., A multi-scale remote sensing model for disaggregating regional fluxes to micrometeorological scales. J. Hydrometeorol., 5, 343–363 (2004) [CrossRef] [Google Scholar]
- Chander G., Markham B.L., Helder D.L., Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens. Environ., 113, 893–903 (2009) [CrossRef] [Google Scholar]
- Mishra N., Haque M.O., Leigh L., Aaron D., Helder D., Markham B., Radiometric cross calibration of Landsat 8 operational land imager (OLI) and Landsat 7 enhanced thematic mapper plus (ETM plus). Remote Sens., 6, 12619–12638 (2014) [CrossRef] [Google Scholar]
- Valor E., Caselles V., Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Remote Sens. of Envir., 57, 167–84 (1996) [CrossRef] [Google Scholar]
- Xu Y. & Shen Y., Reconstruction of the land surface temperature time series using harmonic analysis. Computers & Geosciences., 61, 126–132 (2013) [CrossRef] [Google Scholar]
- Rajani, A., Varadarajan, D.S. Estimation and validation of land surface temperature by using remote sensing & GIS for Chittoor District, Andhra Pradesh. Turk. J. Comput. Math. Educ., 12, 607–617 (2021) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.