MOSTAR AREA LAND SURFACE TEMPERATURE DETERMINATION WITH SATELLITE METHODS

U članku su ukratko prikazani najkritičniji faktori koji utječu na temperaturu tla. Većina se tih čimbenika može naći na području grada Mostara. Najjednostavniji i najčešće korištena metoda određivanja površinske temperature tla je obrada termalnih kanala satelitskih scena. Landsat je najduža i najraširenija satelitska misija s slobodnim podacima. Za potrebe ovog istraživanja su korišteni Landsat 5, 7 i 8 satelitske scene i slobodni meteorološki podaci iz kojih su izračunate atmosferske korekcije, a zatim površinska temperatura tla (PTT) za područje Mostara. Korištene su četiri zimska scene (uzete u hladnijem dijelu godine), i četiri ljetne scene (uzete u najtoplijem dijelu godine). Iz obrađenih se podataka može zaključiti da se Mostar može smatrati jednim od najtoplijih gradova u Bosni i Hercegovini i šire.The article briefly presents the most critical factors that affect the soil temperature. Most of these factors can be found in city of Mostar area. The simplest and the most widely used method of land surface temperature determination is processing of thermal bands of satellite scenes. Landsat is the longest and most widely used satellite mission with open data. For the purposes of this study Landsat 5, 7 and 8 satellite scenes and open meteorological data were used, from which the atmospheric correction, and then land surface temperature (LST), were calculated for Mostar area. Four winter scenes (taken in the colder part of the year) and four summer scenes (taken in the warmest part of the year) were used. From all processed data, it can be concluded that Mostar can be considered as one of the warmest cities in Bosnia and Herzegovina and wider

Land Surface Temperature Determination in the Town of Mostar Area

The article presents the most critical factors that affect the soil temperature, such as the effects of the canyon, anthropogenic heat, greenhouse effect, effective reflectivity, evaporating reduction and turbulent transfer of heat. Most of these factors can be found in the town of Mostar area. The simplest and the most widely used method of land surface temperature determination is processing of thermal channels satellite scenes. Landsat is the longest and most widely used satellite mission with open data. For the purposes of this study Landsat 5, 7 and 8 satellite scenes were used and open meteorological data from which the atmospheric correction was calculated, and then land surface temperature (LST) for the Mostar area. Three winter scenes were used (occurred in the colder part of year) and three summer scenes (occurred in the warmest part of the year). From all processed data can be concluded that Mostar can be considered as one of the warmest towns in Bosnia and Herzegovina and wider

The CM SAF TOA Radiation Data Record Using MVIRI and SEVIRI

The CM SAF Top of Atmosphere (TOA) Radiation MVIRI/SEVIRI Data Record provides a homogenised satellite-based climatology of TOA Reflected Solar (TRS) and Emitted Thermal (TET) radiation in all-sky conditions over the Meteosat field of view. The continuous monitoring of these two components of the Earth Radiation Budget is of prime importance to study climate variability and change. Combining the Meteosat MVIRI and SEVIRI instruments allows an unprecedented temporal (30 min/15 min) and spatial (2.5 km/3 km) resolution compared to, e.g., the CERES products. It also opens the door to the generation of a long data record covering a 32 years time period and extending from 1 February 1983 to 30 April 2015. The retrieval method used to process the CM SAF TOA Radiation MVIRI/SEVIRI Data Record is discussed. The overlap between the MVIRI and GERB instruments in the period 2004–2006 is used to derive empirical narrowband to broadband regressions. The CERES TRMM angular dependency models and theoretical models are respectively used to compute the TRS and TET fluxes from the broadband radiances. The TOA radiation products are issued as daily means, monthly means and monthly averages of the hourly integrated values (diurnal cycle). The data is provided on a regular grid at a spatial resolution of 0.05 degrees and covers the region 70 ∘ N–70 ∘ S and 70 ∘ W–70 ∘ E. The quality of the data record has been evaluated by intercomparison with several references. In general, the stability in time of the data record is found better than 4 Wm −2 and most products fulfill the predefined accuracy requirements