In this study (proper). Heilongjiang) pointed out within this study (right).2.2. Investigation Data two.2.1. Fire Information The daily fire location information were downloaded in the Worldwide Month-to-month Fire Place Solution (MCD64A1, Collection six) [29] in the course of the months of October and November for the years 2013020. The information were observed by the MODIS instruments onboard the Terra and Aqua satellites, using a spatial resolution of 1 km 1 km. You’ll find quite a few monitoring satellites for fire point information, but MODIS is at the moment one of the most widely applied. MODIS data are easy to receive and approach, the spectral range is somewhat wide, and it might observe the Earth’s GNE-371 Data Sheet surface twice per day. The data involve the date plus the longitude and latitude of fire points. Information files are supplied in HDF format, and each day fire points had been obtained employing image extraction in ArcGIS.Remote Sens. 2021, 13, 3988 Remote Sens. 2021, 13, x FOR PEER REVIEW4 17 four ofofFigure two. Spatial distribution of fire points in Northeastern China by MODIS observations from 2013020. Figure two. Spatial distribution of fire points in Northeastern China by MODIS observations from 2013020.two.two. Research Information two.two.2. Meteorological Data 2.two.1. Fire Data Everyday surface meteorological data for October and November for the duration of 2013020 have been The each day fire location data had been downloaded in the Day-to-day Monthly Fire Place obtained in the China Meteorological Data Network [30]. Globalaverage air temperature Solution (MCD64A1, humidity (PHU), in the course of the months of October and November for (TEM), every day relative Collection six) [29] daily average air pressure (PRS), 24 h cumulative the years 2013020. The data have been observed by the MODIS instruments onboard the rainfall (PRE) and each day typical wind speed (WIN) had been chosen. For distinct meteoTerra and Aqua satellites, with a spatial resolution ArcGIS 1 km. There are info rological stations in Northeastern China, we usedof 1 km o extract stationmany monitoring satellites compatibility with other domestic and foreign air quality models. The to facilitate the for fire point information, but MODIS is at the moment one of the most extensively used. MODIS data are straightforward to obtain and process, the spectral range is comparatively process by can observe meteorological data have been interpolated working with the ordinary kriging wide, and it ArcGIS, with the Earth’s surface of three km day. The information consist of the date plus the is circular. a spatial resolutiontwice per3 km, and the semivariogram modellongitude and latitude of fire points. Information files are offered in HDF format, and everyday fire points have been obtained utilizing image extraction in 2.2.3. Soil Moisture Information ArcGIS.The surface soil moisture data (volumetric absolute values) from 2013019 have been two.2.two. Meteorological Data sourced from the soil moisture GS-626510 Epigenetic Reader Domain project with the European Space Agency’s (ESA) Climate Everyday surface meteorological information product is the ESA CCI SM v06.1, 2013020 had been Adjust Initiative (CCI) [31]. The latest for October and November duringwhich consists of obtained in the China Meteorological active solution, passive solution and temperathree surface soil moisture information sets: the Data Network [30]. Everyday average air combined ture (TEM), active item as well as the passive product were produced by fusing scatterometer solution. Thedaily relative humidity (PHU), daily average air pressure (PRS), 24 h cumulative rainfall (PRE) and everyday typical and speed (WIN) item is usually a blended product and radiometer soil moisture solutions,windthe combined have been selected. For specific meteorol.