Pit areas and corresponding mapping of damage year. The initial row could be the relative position of your mine website; site; the second row can be a high-resolution map of your mining area from google earth; the third row shows the harm year the second of theis a high-resolution1986 to 2020. mining area from google earth; the third row shows the harm year map of map row open pit regions from map in the the open pit places from 1986 to 2020. four.four. Comparison with Current MethodsFigure 9. Open pit locations and corresponding mapping of damage year. The first row is definitely the relative position of the mine4.4. Comparison with ExistingLandTrendr algorithm and Landsat time series data to detect Yang et al. (2018) utilised Methodsthe surfaceal. (2018) utilised LandTrendrmine [26]. Barenblitt et al.time series data to detect the Yang et disturbance course of action of coal algorithm and Landsat (2021) have studied the gold disturbance process of coal mine [26]. Barenblitt et al. (2021) have studiedthe gold surface mining footprint, based on the trajectory with the annual maximum NDVI, and also the maximum derivative mining footprint, basedmethod trajectory in the annual of spectral time segmentation alon the [42]. LandTrendr is usually a set maximum NDVI, and also the maximum gorithm, which could be applied to detect the transform of time series of medium resolution satderivative approach [42]. LandTrendr can be a set of spectral time segmentation algorithm, which ellite pictures [43]. The maximum derivative method (MaxSlope) utilizes the maximumcan be used to detect the change of time series of medium resolution satellite pictures [43]. The maximum derivative technique (MaxSlope) utilizes the maximum alter rate of NDVI to recognize the occurrence in the maximum NDVI loss, which representing the sort modify from vegetation to mining [42]. We examine the Tenidap Cancer outcomes of this study with those information, including the maximum NDVI time series, the detected mining footprint inside the study areaRemote Sens. 2021, 13, x FOR PEER REVIEW15 ofRemote Sens. 2021, 13,14 ofchange price of NDVI to identify the occurrence in the maximum NDVI loss, which representing the variety change from vegetation to mining [42]. We examine the results of this study with those data, like the maximum NDVI time series, the detected by the LandTrendr algorithm, plus the maximum derivative strategy. Figuremining 10 shows the footprint in the study area by the LandTrendr algorithm, and the maximum derivative accuracy comparison of LandTrendr, MaxSlope and CCDC algorithm. amongst the user process. Figure ten shows the accuracy comparison of LandTrendr, MaxSlope and CCDC accuracy (UA), thethe user accuracy (UA), the accuracy of LandTrendr by far the most, fluctu- user accuracy of LandTrendr algorithm fluctuates algorithm plus the algorithm. Among accuracy most, producer accuracy (PA) producer accuracy (PA) of LandTrendr are gen- these and along with the user accuracy and of LandTrendr are usually reduce among ates the algorithms. The minimizing algorithms. The minimizing Rapamycin Purity & Documentation orderCCDC, MaxSlope and LandTrendr. erally decrease amongst those order of general precision is of general precision is CCDC, The difference amongst CCDC algorithm along with the rest of algorithms mightrest determined as MaxSlope and LandTrendr. The difference amongst CCDC algorithm along with the be of algothe model hypothesis. LandTrendrmodelthe inter-annual NDVI loss threshold to determine rithms could possibly be determined because the makes use of hypothesis. LandTrendr utilizes the inter-annual NDVI loss threshold to decide the transition year, MaxSlope inter-annual with.
