Downscaling the MODIS land surface temperature using a trapezial concept applied to the MODIS and sentinel 2 images

Author:

Faraji Zohreh,Kaviani Abbas,Khosravi Leila

Publisher

Springer Science and Business Media LLC

Reference35 articles.

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2. Agam, N., Kustas, W. P., Anderson, M. C., Li, F., & Neale, C. M. (2007). A vegetation index based technique for spatial sharpening of thermal imagery. Remote Sensing of Environment, 107(4), 545–558. https://doi.org/10.1016/j.rse.2006.10.006

3. Allan, M. G., Hamilton, D. P., Trolle, D., Muraoka, K., & McBride, C. (2016). Spatial heterogeneity in geothermally-influenced lakes derived from atmospherically corrected Landsat thermal imagery and three-dimensional hydrodynamic modelling. International Journal of Applied Earth Observation and Geoinformation, 50, 106–116. https://doi.org/10.1016/j.jag.2016.03.006

4. Ambrosone, M., Matese, A., Di Gennaro, S. F., Gioli, B., Tudoroiu, M., Genesio, L., Miglietta, F., Baronti, S., Maienza, A., & Ungaro, F. (2020). Retrieving soil moisture in rainfed and irrigated fields using Sentinel-2 observations and a modified OPTRAM approach. International Journal of Applied Earth Observation and Geoinformation, 89, 102113. https://doi.org/10.1016/j.jag.2020.102113

5. Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A., & Kustas, W. P. (2007). A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation. Journal of Geophysical Research: Atmospheres, 112(D10117). https://doi.org/10.1029/2006JD007506

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