Lity and potential fire behavior. Additionally, the soil moisture content and relative humidity are affected by the air temperature, which means that an increase in temperature can increase the fire ignition possible. Wind speed has a direct negative correlation with the open burning of crops due to the fact high wind speeds can bring about fires becoming out of Streptonigrin Epigenetic Reader Domain handle, and farmers generally burn crop residue when wind speeds are less than two m/s. These findings have also been verified by prior studies [17,23,39]. In theory, the accumulated precipitation inside a 24-h period and straw open burning prohibition places ought to have a great influence on crop residue open burning. However, each of those things show a low significance for the fire activity outcomes. These findings are associated with the climate in Northeastern China, where rainfall is really rare following the summer, as well as the early snow falls right after ten November each and every year, which means that farmers decide to burn crop residue for the duration of the dry season. In addition, Jilin Province will be the only region with straw open burning prohibition regions in Northeastern China, which means that the probability of deciding on data from burning prohibition areas was quite compact as well as the value was minimal. 4. Discussion 4.1. Analysis of Sensitivity, Specificity, Accuracy and AUC To evaluate the model, the accuracy, sensitivity and specificity had been analyzed. The final modeling and forecasting final results of all scenarios are shown in Table 7, as well as the ROC curves for every model had been presented in Figure 4. When forecasting crop residue fires from 2013017 with eight natural elements because the input variables, the accuracies in the model and verification data had been 69.02 and 77.01 , respectively. Even so, when we added the anthropogenic management information (straw open burning prohibition locations of Jilin Province) to forecast crop residue fire points for 2020, the accuracy of your model wasRemote Sens. 2021, 13, x FOR PEER REVIEW11 ofRemote Sens. 2021, 13,Table 7. Details about the accuracy, sensitivity, specificity and AUC of the model and forecasting inside the two scenarios of this study (AUC: the places below ROC curves). four. DiscussionScenario Instruction Time Verifying/ForecConsideration Model Forecasting 4.1. Evaluation of Sensitivity, Specificity, Accuracy and AUC asting Time Variables Accuracy Accuracy Sensitivity Specificity In theory, the accumulated precipitation within a 24-h period and straw open burning prohibition places need to have a great influence on crop residue open burning. Even so, 11 of 16 both of these variables show a low importance towards the fire activity outcomes. These findings are related to the climate in Northeastern China, exactly where rainfall is really uncommon right after the summer season, along with the early snow falls after ten November each year, meaning that farmers 91.08 , and the forecasting throughout the dry season. Additionally, Jilin the model the only decide to burn crop residueresult was 60 . Although the accuracy of Province ishad been significantly improved, burning prohibition locations in Northeastern China, meaning that area with straw RP101988 custom synthesis openthe accuracy from the forecast was substantially lowered right after adding the probability of management from the anthropogenic selecting information information. burning prohibition regions was incredibly compact along with the significance was minimal.AUC1 All-natural factors2 Anthropogenic management and control policy factorTo evaluate the Meteorological accuracy, sensitivity and specificity had been analyzed. The model, the 11 October 201311 October 201366.17.