Downscaling land surface temperature with high-resolution image: a difference mean distribution (DMD) post-processing method

References

• Agam, N., et al., 2007. A vegetation index based technique for spatial sharpening of thermal imagery. Remote Sensing of Environment, 107, 545–558. doi:10.1016/j.rse.2006.10.006
   Web of Science ®Google Scholar
• Amazirh, A., Merlin, O., and Er-Raki, S., 2019. Including Sentinel-1 radar data to improve the disaggregation of MODIS land surface temperature data. ISPRS Journal of Photogrammetry and Remote Sensing, 150, 11–26. doi:10.1016/j.isprsjprs.2019.02.004
   Web of Science ®Google Scholar
• Bala, R., Prasad, R., and Pratap Yadav, V., 2019. Disaggregation of modis land surface temperature in urban areas using improved thermal sharpening techniques. Advances in Space Research, 64, 591–602. doi:10.1016/j.asr.2019.05.004
   Web of Science ®Google Scholar
• Barsi, J.A., et al., 2005. Validation of a web-based atmospheric correction tool for single thermal band instruments. Proceedings of SPIE, Earth Observing Systems X, Bellingham, Washington, 58820E. doi:10.1117/12.619990.
   Google Scholar
• Barsi, J.A., Barker, J.L., and Schott, J.R., 2003. An atmospheric correction parameter calculator for a single thermal band earth-sensing instrument. IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No. 03CH37477), Toulouse, France. 5, 3014–3016. doi:10.1109/IGARSS.2003.1294665.
   Google Scholar
• Carrão, H., Naumann, G., and Barbosa, P., 2016. Mapping global patterns of drought risk: an empirical framework based on sub-national estimates of hazard, exposure and vulnerability. Global Environmental Change, 39, 108–124. doi:10.1016/j.gloenvcha.2016.04.012
   Web of Science ®Google Scholar
• Chandwadkar, R., et al., 2013. Comparison of edge detection techniques. 6th Annual Conference IRAJ, 133–136. doi:10.13140/RG.2.1.5036.7123
   Google Scholar
• Chen, H., Wang, J., and Huang, J., 2014. Policy support, social capital, and farmers’ adaptation to drought in China. Global Environmental Change, 24, 193–202. doi:10.1016/j.gloenvcha.2013.11.010
   Web of Science ®Google Scholar
• Deng, C. and Wu, C., 2013. Examining the impacts of urban biophysical compositions on surface urban heat island: a spectral unmixing and thermal mixing approach. Remote Sensing of Environment, 131, 262–274. doi:10.1016/j.rse.2012.12.020
   Web of Science ®Google Scholar
• Duan, S.B., et al., 2019. Validation of collection 6 MODIS land surface temperature product using in situ measurements. Remote Sensing of Environment, 225, 16–29. doi:10.1016/j.rse.2019.02.020
   Web of Science ®Google Scholar
• Ebrahimy, H., et al., 2021. Downscaling modis land surface temperature product using an adaptive random forest regression method and google earth engine for a 19-years spatiotemporal trend analysis over Iran. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2103–2112. doi:10.1109/JSTARS.2021.3051422
   Web of Science ®Google Scholar
• Essa, W., et al., 2012. Evaluation of the DisTrad thermal sharpening methodology for urban areas. International Journal of Applied Earth Observation and Geoinformation, 19, 163–172. doi:10.1016/j.jag.2012.05.010
   Web of Science ®Google Scholar
• Essa, W., et al., 2017. Improved DisTrad for downscaling thermal MODIS imagery over urban areas. Remote Sensing, 9, 1243. doi:10.3390/rs9121243
   Web of Science ®Google Scholar
• Eswar, R., Sekhar, M., and Bhattacharya, B.K., 2016. Disaggregation of LST over India: comparative analysis of different vegetation indices. International Journal of Remote Sensing, 37, 1035–1054. doi:10.1080/01431161.2016.1145363
   Web of Science ®Google Scholar
• Gilkey, P.B. and Steven, K., 1995. Invariance theory, the heat equation and the Atiyah-Singer index theorem. Transplantation Proceedings, 37, 1635–1636. doi:10.1016/j.transproceed.2004.09.023
   Google Scholar
• Guillevic, P.C., et al., 2012. Land surface temperature product validation using NOAA’s surface climate observation networks-scaling methodology for the visible infrared imager radiometer suite (VIIRS). Remote Sensing of Environment, 124, 282–298. doi:10.1016/j.rse.2012.05.004
   Web of Science ®Google Scholar
• Hansen, J., et al., 2006. Global temperature change. Proceedings of the National Academy of Sciences, 103, 14288–14293. doi:10.1073/pnas.0606291103
   PubMed Web of Science ®Google Scholar
• Hansen, J., et al., 2010. Global surface temperature change. Reviews of Geophysics, 48. doi:10.1029/2010RG000345
   Web of Science ®Google Scholar
• Hu, D.Y., et al., 2015. Land surface temperature retrieval from Landsat 8 thermal infrared data using mono-window algorithm. Journal of Remote Sensing, 19 (6), 964–976. doi:10.11834/jrs.20155038
   Google Scholar
• Ingels, J., et al., 2017. Short-term CO2 exposure and temperature rise effects on metazoan meiofauna and free-living nematodes in sandy and muddy sediments: results from a flume experiment. Journal of Experimental Marine Biology and Ecology, 502, 211–226. doi:10.1016/j.jembe.2017.07.012
   Web of Science ®Google Scholar
• Jw, A., et al., 2022. Downscaling land surface temperature: a framework based on geographically and temporally neural network weighted autoregressive model with spatio-temporal fused scaling factors. ISPRS Journal of Photogrammetry and Remote Sensing, 187, 259–272. doi:10.1016/j.isprsjprs.2022.03.009
   Web of Science ®Google Scholar
• Konishi, S., et al., 2003. Statistical edge detection: learning and evaluating edge cues. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 57–74. doi:10.1109/TPAMI.2003.1159946
   Web of Science ®Google Scholar
• Kustas, W.P., et al., 2003. Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship. Remote Sensing of Environment, 85, 429–440. doi:10.1016/S0034-4257(03)00036-1
   Web of Science ®Google Scholar
• Li, Z.L., et al., 2013. Satellite-derived land surface temperature: current status and perspectives. Remote Sensing of Environment, 131, 14–37. doi:10.1016/j.rse.2012.12.008
   Web of Science ®Google Scholar
• Li, C., et al., 2017. Recent very hot summers in northern Hemispheric land areas measured by Wet Bulb Globe Temperature will be the norm within 20 years. Earth’s Future, 5, 1203–1216. doi:10.1002/2017EF000639
   Web of Science ®Google Scholar
• Li, Q., Chen, L., and Xu, Y., 2022. Drought risk and water resources assessment in the Beijing-Tianjin-Hebei region, China. Science of the Total Environment, 832, 154915. doi:10.1016/j.scitotenv.2022.154915
   PubMed Web of Science ®Google Scholar
• Liu, Y., Hiyama, T., and Yamaguchi, Y., 2006. Scaling of land surface temperature using satellite data: a case examination on ASTER and MODIS products over a heterogeneous terrain area. Remote Sensing of Environment, 105, 115–128. doi:10.1016/j.rse.2006.06.012
   Web of Science ®Google Scholar
• Liu, K., Su, H., and Li, X., 2016. Estimating high-resolution urban surface temperature using a hyperspectral thermal mixing (HTM) approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 804–815. doi:10.1109/JSTARS.2015.2459375
   Web of Science ®Google Scholar
• Marques da Silva, J.R., et al., 2015. Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature. International Journal of Applied Earth Observation and Geoinformation, 38, 40–50. doi:10.1016/j.jag.2014.12.016
   Web of Science ®Google Scholar
• Mei, A.X., et al., 2001. Introduction to remote sensing. Beijing: Higher Education Press.
   Google Scholar
• Penteriani, V., et al., 2019. Responses of an endangered brown bear population to climate change based on predictable food resource and shelter alterations. Global Change Biology, 25, 1133–1151. doi:10.1111/gcb.14564
   PubMed Web of Science ®Google Scholar
• Piao, S., et al., 2009. Summer soil moisture regulated by precipitation frequency in China Environmental Research Letters. 4, 044012. doi:10.1088/1748-9326/4/4/044012
   Web of Science ®Google Scholar
• Qin, Z.H., et al., 2004. The estimation of land surface emissivity for Landsat TM6. Remote Sensing for Land and Resources, 2004 (3), 28–32. 36,41. doi:10.3969/j.1001-070X.2004.03.007
   Google Scholar
• Qin, Z.H., Karnieli, A., and Berliner, P., 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22 (18), 3719–3746. doi:10.1080/01431160010006971
   Web of Science ®Google Scholar
• Rankoana, S.A., 2018. Human perception of climate change. Weather, 73, 367–370. doi:10.1002/wea.3204
   Web of Science ®Google Scholar
• Roy, D.P., et al., 2014. Landsat-8: science and product vision for terrestrial global change research. Remote Sensing of Environment, 145, 154–172. doi:10.1016/j.rse.2014.02.001
   Web of Science ®Google Scholar
• Sobrino, J.A., Jiménez-Mu?Oz, J.C., and Paolini, L., 2004. Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment, 90, 434–440. doi:10.1016/j.rse.2004.02.003
   Web of Science ®Google Scholar
• Sobrino, J.A., Raissouni, N., and Li, Z.L., 2001. A comparative study of land surface emissivity retrieval from NOAA data. Remote Sensing of Environment, 75, 256–266. doi:10.1016/S0034-4257(00)00171-1
   Web of Science ®Google Scholar
• Wang, J., et al., 2020. Thermal unmixing based downscaling for fine resolution diurnal land surface temperature analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 161, 76–89. doi:10.1016/j.isprsjprs.2020.01.014
   Web of Science ®Google Scholar
• Weng, Q. and Lu, D., 2008. A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States. International Journal of Applied Earth Observation and Geoinformation, 10, 83. doi:10.1016/j.jag.2007.05.002
   Web of Science ®Google Scholar
• Xu, C., et al., 2020. Surface soil temperature seasonal variation estimation in a forested area using combined satellite observations and in-situ measurements. International Journal of Applied Earth Observation and Geoinformation, 91, 102156. doi:10.1016/j.jag.2020.102156
   Web of Science ®Google Scholar
• Yang, Y., et al., 2017. Downscaling land surface temperature in an arid area by using multiple remote sensing indices with random forest regression. Remote Sensing, 9, 789. doi:10.3390/rs9080789
   Web of Science ®Google Scholar
• Yin, J., et al., 2019. Impact of urban greenspace spatial pattern on land surface temperature: a geo-detector-based case study in Beijing metropolitan area, China. Landscape Ecology, 34, 2949–2961. doi:10.1007/s10980-019-00932-6
   Web of Science ®Google Scholar
• Zang, J.L., et al., 2020. Research on optimization of land surface temperature downscaling. Remote Sensing Information, 35 (4), 78–88. doi:10.3969/j.1000-3177.2020.04.012
   Google Scholar
• Zhan, W., et al., 2013. Disaggregation of remotely sensed land surface temperature: literature survey, taxonomy, issues, and caveats. Remote Sensing of Environment, 131, 119–139. doi:10.1016/j.rse.2012.12.014
   Web of Science ®Google Scholar
• Zhang, Y., et al., 2015. Spatial patterns and temporal variability of drought in Beijing-Tianjin-Hebei metropolitan areas in China. Advances in Meteorology, 2015, 289471. doi:10.1155/2015/289471
   Web of Science ®Google Scholar
• Zhang, X., et al., 2020. Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data. ISPRS Journal of Photogrammetry and Remote Sensing, 167, 321–344. doi:10.1016/j.isprsjprs.2020.07.014
   Web of Science ®Google Scholar
• Zhang, Y., Wang, Y., and Niu, H., 2019. Effects of temperature, precipitation and carbon dioxide concentrations on the requirements for crop irrigation water in China under future climate scenarios. Science of the Total Environment, 656, 373–387. doi:10.1016/j.scitotenv.2018.11.362
   PubMed Web of Science ®Google Scholar
• Zullo, F., et al., 2019. Effects of urban growth spatial pattern (UGSP) on the land surface temperature (LST): a study in the Po Valley (Italy). Science of the Total Environment, 650, 1740–1751. doi:10.1016/j.scitotenv.2018.09.331
   PubMed Web of Science ®Google Scholar