Quisition method in the towers are shown in Table 1. Height in the Ground (m)

Quisition method in the towers are shown in Table 1. Height in the Ground (m) Gear Description VariableFMI BPE Table 1. Description from the equipment usedNE, USA incident solar radiation (Rgi), reflected solar to measure Rgi/Rgr LI200X, GNE-371 Autophagy LI-COR, Lincoln, 5 20 radiation (Rgi), net radiation (Rn), soil heat flux (G), air temperature (Ta), relative humidity (RH), Rn NRLITE, Kipp Zonen, Delft, The Netherlands 5 20 wind speed HFP01, Hukseflux BV, Delft, The Netherlands the Fazenda Miranda (FMI) and Ba das (u), datalogger, and their respective heights in G -0.05 -0.05 Ta/RH Pedras (BPE) flux towers. Vaisala Inc., Woburn, USA HMP-45AC, 58 221 u 014A, Met One, Grants Pass, USA 5 22 Guretolimod web Installation Height Datalogger CR1000, Campbell Scientific, Inc., Logan, USAfrom the Ground (m) FMI BPE The SEBFs and ET in the two flux towers had been calculated making use of the Bowen ratio energy Rgi/Rgr balance (BREB) system working with the sensor listed in Table 1.5This method has been extensively LI200X, LI-COR, Lincoln, NE, USA 20 Rn applied and has the advantage of requiring few micrometeorological20 NRLITE, Kipp Zonen, Delft, Netherlands 5 parameters whilst G havingHFP01,physical basis [1,39]. Additionally, comparisons amongst estimates obtained Hukseflux BV, Delft, Netherlands -0.05 -0.05 a firm Ta/RH by the BREB and the more directWoburn, USA HMP-45AC, Vaisala Inc., eddy covariance technique provide221 data, which 58 comparable u 014A, Met One particular, Grants Pass, environmental studies in remote and logistically five 22 tends to make the MRB a great technique forUSA difficult Campbell because the Cerrado-Pantanal Datalogger CR1000,regions, suchScientific, Inc., Logan, USAecotone [1,39]. The calculation with the SEBFs and ET is described in detail in [1]. The SEBFs and ET in the two flux towers have been calculated employing the Bowen ratio energy balance (BREB) strategy using the sensor listed in Table 1. This approach has been extensively applied and has the benefit of requiring handful of micrometeorological parameters Variable Gear DescriptionSensors 2021, 21,five of2.3. Remote Sensing Data The study was carried out with data and photos obtained amongst 2013 and 2016 working with 27 images of surface reflectance and brightness temperature in the Operational Land Imager (OLI) along with the Thermal Infrared Sensor (TIRS) sensors, respectively, from Landsat eight in path 226 and row 71, and 10 pictures of surface reflectance of your MOD09A1 item from the MODIS sensor around the TERRA satellite were downloaded from the EROS Science Processing Architecture (ESPA) [espa.cr.usgs.gov accessed on 25 April 2020] with the US Geological Survey (USGS). The OLI sensor pictures are composed of 9 bands, with spatial resolutions of 30 m for bands 1 and 9, and 15 m for band eight (panchromatic). The pictures in the TIRS sensor are composed of bands 10 and 11, with spatial resolution of 90 m. The temporal resolution on the Landsat eight satellite is 16 days along with the radiometric resolution is 16 bits [42]. The images of your surface reflectance without having the impact from the atmosphere were processed by the Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) hosted on the ESPA platform. LEDAPS can be a complicated algorithm that integrates internal sensor data (metadata) with external data (NCEP, NOAA, and NASA) to (i) transform the digital number to top rated of atmosphere (TOA) reflectance; (ii) detect pixels with clouds from TOA reflectance and; and (iii) calculate the corrected surface reflectance in the TOA reflectance [43]. The atmospheric correction from the surfac.