Special Issue "Applications of Land Surface Temperature and its Combination with other Satellite Land Products"
Deadline for manuscript submissions: closed (31 December 2018).
Interests: land surface temperature and emissivity; algorithm development; validation; diurnal temperature cycle
Interests: remote sensing; land surface temperature; land surface modelling
Special Issues and Collections in MDPI journals
Interests: urban remote sensing; land surface temperature; downscaling; time series analysis; annual temperature cycle; surface urban heat island; urban climates
Special Issues and Collections in MDPI journals
Satellite land products have a multitude of applications in a broad range of research fields, e.g., the mapping and monitoring of vegetation, drought detection, determination of evapotranspiration, soil moisture mapping, urban heat island research, land cover change analyses, or snow detection (Trigo et al., 2011). Applications of Land Surface Temperature (LST) often utilize one or more additional land products, e.g., as shown by Julien et al. (2011) who combined LST with a vegetation index to detect long term changes in the Iberian land cover. Despite an increased interest in LST, and a growing number of applications, remotely-sensed LST is still considered difficult to use, because 1) it is a directional quantity and its meaning more difficult to define, 2) reliable, simultaneous estimates of Land Surface Emissivity (LSE) were unavailable, 3) remote sensing in the thermal infrared is limited to clear sky conditions, and 4) it is a highly dynamic and variable quantity influenced by all fluxes of the surface energy balance rather than a single surface characteristic. Fortunately, large progress has been made to overcome most difficulties, e.g., LST has recently been defined as an Essential Climate Variable (ECV) and reliable daily estimates of LSE are now available (Hulley et al., 2014). Furthermore, instead of taking LST products as input, applications can use thermal surface parameters (Göttsche and Olesen, 2009; Bechtel, 2015), which are more closely related to the thermal characteristics of the land surface and can be combined meaningfully with satellite land products that change on similar time scales.
This Special Issue invites contributions describing applications of LST and its combination with other satellite land products. In particular, but not exclusively, researchers are encouraged to submit articles addressing the following topics:
- Applications of multi-temporal LST and LSE data
- Studies exploring the characteristics of annual and diurnal LST cycles
- Combined applications of LST, LSE and other land products, e.g., vegetation parameters, Land-Use Land-Cover (LULC) information, etc.
- Using LST and LSE data to improve land products, e.g. fire detection, land-cover classification, soil moisture retrieval, etc.
- LST products with improved features, e.g., offering all-weather capability and corrected for surface anisotropy
- Progress in estimating near surface air temperature from satellite LST
- Novel applications of LST and LSE products
The contributions are intended to reflect the progress made possible by the latest generation of LST and LSE satellite products.
- Bechtel, B. (2015). A New Global Climatology of Annual Land Surface Temperature. Remote Sensing, Vol. 7(3), pp. 2850-2870.
- Göttsche, F.-M., and Olesen, F.S. (2009). Modelling the effect of optical thickness on diurnal cycles of land surface temperature. Remote Sensing of Environment, 113, pp. 2306–2316.
- Hulley, G., Veraverbeke, S., and Hook, S. (2014). Thermal-based techniques for land cover change detection using a new dynamic MODIS multispectral emissivity product (MOD21). Remote Sensing of Environment, Vol. 140, pp. 755-765.
- Julien, Y., Sobrino, J.A., Mattar, C., Ruescas, A.B., Jimenez-Munoz, J.C., Soria, G., Hidalgo, V., Atitar, M., Franch, B., and Cuenca, J. (2011). Temporal analysis of normalized difference vegetation index (NDVI) and land surface temperature (LST) parameters to detect changes in the Iberian land cover between 1981 and 2001. International Journal of Remote Sensing, Vol. 32, pp. 2057-2068.
- Kalma, J.D., McVicar, T.R., and McCabe, M.F. (2008). Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data. Surveys in Geophysics, 29, pp. 421–469.
- Karnieli, A., Agam, N., Pinker, R.T., Anderson, M., Imhoff, M.L., Gutman, G.G., Panov, P., and Goldberg, A. (2010). Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations. Journal of Climate, Vol. 23, pp. 618-633.
- Romaguera, M., Vaughan, R.G., Ettema, J., Izquierdo-Verdiguier, E., Hecker, C.A., van der Meer, F.D. (2018). Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data. Remote Sensing of Environment, Vol. 204, pp. 534-552.
- Trigo, I.F., Dacamara, C.C., Viterbo, P., Roujean, J.-L., Olesen, F., Barroso, C., Camacho-de-Coca, F., Carrer, D., Freitas, S.C., Garcia-Haro, J., Geiger, B., Gellens-Meulenberghs, F., Ghilain, N., Meliá, J., Pessanha, L., Siljamo, N., and Arboleda, A. (2011). The Satellite Application Facility for Land Surface Analysis. International Journal of Remote Sensing, Vol. 32, pp. 2725-2744.
Dr. Frank-M. Göttsche
Dr. Isabel F. Trigo
Dr. Benjamin Bechtel
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- Applications of Land Surface Temperature
- Satellite Land Products
- Thermal Surface Parameters
- Land Surface Emissivity